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INFORMATIONAL
Network Working Group                                          B. AbobaRequest for Comments: 2975                        Microsoft CorporationCategory: Informational                                        J. Arkko                                                               Ericsson                                                          D. Harrington                                                 Cabletron Systems Inc.                                                           October 2000Introduction to Accounting ManagementStatus of this Memo   This memo provides information for the Internet community.  It does   not specify an Internet standard of any kind.  Distribution of this   memo is unlimited.Copyright Notice   Copyright (C) The Internet Society (2000).  All Rights Reserved.Abstract   The field of Accounting Management is concerned with the collection   of resource consumption data for the purposes of capacity and trend   analysis, cost allocation, auditing, and billing.  This document   describes each of these problems, and discusses the issues involved   in design of modern accounting systems.   Since accounting applications do not have uniform security and   reliability requirements, it is not possible to devise a single   accounting protocol and set of security services that will meet all   needs.  Thus the goal of accounting management is to provide a set of   tools that can be used to meet the requirements of each application.   This document describes the currently available tools as well as the   state of the art in accounting protocol design.  A companion   document,RFC 2924, reviews the state of the art in accounting   attributes and record formats.Aboba, et al.                Informational                      [Page 1]

RFC 2975         Introduction to Accounting Management      October 2000Table of Contents   1.  Introduction                                             2       1.1   Requirements language                              3       1.2   Terminology                                        3       1.3   Accounting management architecture                 5       1.4   Accounting management objectives                   7       1.5   Intra-domain and inter-domain accounting          10       1.6   Accounting record production                      11       1.7   Requirements summary                              13   2.  Scaling and reliability                                 14       2.1   Fault resilience                                  14       2.2   Resource consumption                              23       2.3   Data collection models                            26   3.  Review of Accounting Protocols                          32       3.1 RADIUS                                              32       3.2 TACACS+                                             33       3.3 SNMP                                                33   4.  Review of Accounting Data Transfer                      43       4.1 SMTP                                                44       4.2 Other protocols                                     44   5.  Summary                                                 45   6. Security Considerations                                  48   7. Acknowledgments                                          48   8. References                                               48   9. Authors' Addresses                                       52   10. Intellectual Property Statement                         53   11. Full Copyright Statement                                541.  Introduction   The field of Accounting Management is concerned with the collection   of resource consumption data for the purposes of capacity and trend   analysis, cost allocation, auditing, and billing.  This document   describes each of these problems, and discusses the issues involved   in design of modern accounting systems.   Since accounting applications do not have uniform security and   reliability requirements, it is not possible to devise a single   accounting protocol and set of security services that will meet all   needs.  Thus the goal of accounting management is to provide a set of   tools that can be used to meet the requirements of each application.   This document describes the currently available tools as well as the   state of the art in accounting protocol design.  A companion   document,RFC 2924, reviews the state of the art in accounting   attributes and record formats.Aboba, et al.                Informational                      [Page 2]

RFC 2975         Introduction to Accounting Management      October 20001.1.  Requirements language   In this document, the key words "MAY", "MUST, "MUST NOT", "optional",   "recommended", "SHOULD", and "SHOULD NOT", are to be interpreted as   described in [6].1.2.  Terminology   This document frequently uses the following terms:   Accounting             The collection of resource consumption data for the             purposes of capacity and trend analysis, cost allocation,             auditing, and billing.  Accounting management requires that             resource consumption be  measured, rated, assigned, and             communicated between appropriate parties.   Archival accounting             In archival accounting, the goal is to collect all             accounting data, to reconstruct missing entries as best as             possible in the event of data loss, and to archive data for             a mandated time period.  It is "usual and customary" for             these systems to be engineered to be very robust against             accounting data loss.  This may include provisions for             transport layer as well as application layer             acknowledgments, use of non-volatile storage, interim             accounting capabilities (stored or transmitted over the             wire), etc.  Legal or financial requirements frequently             mandate archival accounting practices, and may often             dictate that data be kept confidential, regardless of             whether it is to be used for billing purposes or not.   Rating    The act of determining the price to be charged for use of a             resource.   Billing   The act of preparing an invoice.   Usage sensitive billing             A billing process that depends on usage information to             prepare an invoice can be said to be usage-sensitive.  In             contrast, a process that is independent of usage             information is said to be non-usage-sensitive.   Auditing  The act of verifying the correctness of a procedure.  In             order to be able to conduct an audit it is necessary to be             able to definitively determine what procedures were             actually carried out so as to be able to compare this toAboba, et al.                Informational                      [Page 3]

RFC 2975         Introduction to Accounting Management      October 2000             the recommended process.  Accomplishing this may require             security services such as authentication and integrity             protection.   Cost Allocation             The act of allocating costs between entities.  Note that             cost allocation and rating are fundamentally different             processes.  In cost allocation the objective is typically             to allocate a known cost among several entities.  In rating             the objective is to determine the amount to be charged for             use of a resource.  In cost allocation, the cost per unit             of resource may need to be determined; in rating, this is             typically a given.   Interim accounting             Interim accounting provides a snapshot of usage during a             user's session.  This may be useful in the event of a             device reboot or other network problem that prevents the             reception or generation of a session summary packet or             session record.  Interim accounting records can always be             summarized without the loss of information.  Note that             interim accounting records may be stored internally on the             device (such as in non-volatile storage) so as to survive a             reboot and thus may not always be transmitted over the             wire.   Session record             A session record represents a summary of the resource             consumption of a user over the entire session.  Accounting             gateways creating the session record may do so by             processing interim accounting events or accounting events             from several devices serving the same user.   Accounting Protocol             A protocol used to convey data for accounting purposes.   Intra-domain accounting             Intra-domain accounting involves the collection of             information on resource usage within an administrative             domain, for use within that domain.  In intra-domain             accounting, accounting packets and session records             typically do not cross administrative boundaries.   Inter-domain accounting             Inter-domain accounting involves the collection of             information on resource usage within an administrativeAboba, et al.                Informational                      [Page 4]

RFC 2975         Introduction to Accounting Management      October 2000             domain, for use within another administrative domain.  In             inter-domain accounting, accounting packets and session             records will typically cross administrative boundaries.   Real-time accounting             Real-time accounting involves the processing of information             on resource usage within a defined time window.  Time             constraints are typically imposed in order to limit             financial risk.   Accounting server             The accounting server receives accounting data from devices             and translates it into session records.  The accounting             server may also take responsibility for the routing of             session records to interested parties.1.3.  Accounting management architecture   The accounting management architecture involves interactions between   network devices, accounting servers, and billing servers.  The   network device collects resource consumption data in the form of   accounting metrics.  This information is then transferred to an   accounting server.  Typically this is accomplished via an accounting   protocol, although it is also possible for devices to generate their   own session records.   The accounting server then processes the accounting data received   from the network device.  This processing may include summarization   of interim accounting information, elimination of duplicate data, or   generation of session records.   The processed accounting data is then submitted to a billing server,   which typically handles rating and invoice generation, but may also   carry out auditing, cost allocation, trend analysis or capacity   planning functions.  Session records may be batched and compressed by   the accounting server prior to submission to the billing server in   order to reduce the volume of accounting data and the bandwidth   required to accomplish the transfer.   One of the functions of the accounting server is to distinguish   between inter and intra-domain accounting events and to route them   appropriately.  For session records containing a Network Access   Identifier (NAI), described in [8], the distinction can be made by   examining the domain portion of the NAI.  If the domain portion is   absent or corresponds to the local domain, then the session record is   treated as an intra-domain accounting event.  Otherwise, it is   treated as an inter-domain accounting event.Aboba, et al.                Informational                      [Page 5]

RFC 2975         Introduction to Accounting Management      October 2000   Intra-domain accounting events are typically routed to the local   billing server, while inter-domain accounting events will be routed   to accounting servers operating within other administrative domains.   While it is not required that session record formats used in inter   and intra-domain accounting be the same, this is desirable, since it   eliminates translations that would otherwise be required.   Where a proxy forwarder is employed, domain-based access controls may   be employed by the proxy forwarder, rather than by the devices   themselves.  The network device will typically speak an accounting   protocol to the proxy forwarder, which may then either convert the   accounting packets to session records, or forward the accounting   packets to another domain.  In either case, domain separation is   typically achieved by having the proxy forwarder sort the session   records or accounting messages by destination.   Where the accounting proxy is not trusted, it may be difficult to   verify that the proxy is issuing correct session records based on the   accounting messages it receives, since the original accounting   messages typically are not forwarded along with the session records.   Therefore where trust is an issue, the proxy typically forwards the   accounting packets themselves.  Assuming that the accounting protocol   supports data object security, this allows the end-points to verify   that the proxy has not modified the data in transit or snooped on the   packet contents.Aboba, et al.                Informational                      [Page 6]

RFC 2975         Introduction to Accounting Management      October 2000   The diagram below illustrates the accounting management architecture:        +------------+        |            |        |   Network  |        |   Device   |        |            |        +------------+              |   Accounting |   Protocol   |              |              V        +------------+                               +------------+        |            |                               |            |        |   Org B    |  Inter-domain session records |  Org A     |        |   Acctg.   |<----------------------------->|  Acctg.    |        |Proxy/Server|   or accounting protocol      |  Server    |        |            |                               |            |        +------------+                               +------------+              |                                            |              |                                            |   Transfer   | Intra-domain                               |   Protocol   | Session records                            |              |                                            |              V                                            V        +------------+                               +------------+        |            |                               |            |        |  Org B     |                               |  Org A     |        |  Billing   |                               |  Billing   |        |  Server    |                               |  Server    |        |            |                               |            |        +------------+                               +------------+1.4.  Accounting management objectives   Accounting Management involves the collection of resource consumption   data for the purposes of capacity and trend analysis, cost   allocation, auditing, billing.  Each of these tasks has different   requirements.1.4.1.  Trend analysis and capacity planning   In trend analysis and capacity planning, the goal is typically a   forecast of future usage.  Since such forecasts are inherently   imperfect, high reliability is typically not required, and moderate   packet loss can be tolerated.  Where it is possible to use   statistical sampling techniques to reduce data collectionAboba, et al.                Informational                      [Page 7]

RFC 2975         Introduction to Accounting Management      October 2000   requirements while still providing the forecast with the desired   statistical accuracy, it may be possible to tolerate high packet loss   as long as bias is not introduced.   The security requirements for trend analysis and capacity planning   depend on the circumstances of data collection and the sensitivity of   the data.  Additional security services may be required when data is   being transferred between administrative domains.  For example, when   information is being collected and analyzed within the same   administrative domain, integrity protection and authentication may be   used in order to guard against collection of invalid data.  In   inter-domain applications confidentiality may be desirable to guard   against snooping by third parties.1.4.2.  Billing   When accounting data is used for billing purposes, the requirements   depend on whether the billing process is usage-sensitive or not.1.4.2.1.  Non-usage sensitive billing   Since by definition, non-usage-sensitive billing does not require   usage information, in theory all accounting data can be lost without   affecting the billing process.  Of course this would also affect   other tasks such as trend analysis or auditing, so that such   wholesale data loss would still be unacceptable.1.4.2.2.  Usage-sensitive billing   Since usage-sensitive billing processes depend on usage information,   packet loss may translate directly to revenue loss.  As a result, the   billing process may need to conform to financial reporting and legal   requirements, and therefore an archival accounting approach may be   needed.   Usage-sensitive systems may also require low processing delay.  Today   credit risk is commonly managed by computerized fraud detection   systems that are designed to detect unusual activity.  While   efficiency concerns might otherwise dictate batched transmission of   accounting data, where there is a risk of fraud, financial exposure   increases with processing delay.  Thus it may be advisable to   transmit each event individually to minimize batch size, or even to   utilize quality of service techniques to minimize queuing delays.  In   addition, it may be necessary for authorization to be dependent on   ability to pay.Aboba, et al.                Informational                      [Page 8]

RFC 2975         Introduction to Accounting Management      October 2000   Whether these techniques will be useful varies by application since   the degree of financial exposure is application-dependent.  For   dial-up Internet access from a local provider, charges are typically   low and therefore the risk of loss is small.  However, in the case of   dial-up roaming or voice over IP, time-based charges may be   substantial and therefore the risk of fraud is larger.  In such   situations it is highly desirable to quickly detect unusual account   activity, and it may be desirable for authorization to depend on   ability to pay.  In situations where valuable resources can be   reserved, or where charges can be high, very large bills may be rung   up quickly, and processing may need to be completed within a defined   time window in order to limit exposure.   Since in usage-sensitive systems, accounting data translates into   revenue, the security and reliability requirements are greater.  Due   to financial and legal requirements such systems need to be able to   survive an audit.  Thus security services such as authentication,   integrity and replay protection are frequently required and   confidentiality and data object integrity may also be desirable.   Application-layer acknowledgments are also often required so as to   guard against accounting server failures.1.4.3.  Auditing   With enterprise networking expenditures on the rise, interest in   auditing is increasing.  Auditing, which is the act of verifying the   correctness of a procedure, commonly relies on accounting data.   Auditing tasks include verifying the correctness of an invoice   submitted by a service provider, or verifying conformance to usage   policy, service level agreements, or security guidelines.   To permit a credible audit, the auditing data collection process must   be at least as reliable as the accounting process being used by the   entity that is being audited.  Similarly, security policies for the   audit should be at least as stringent as those used in preparation of   the original invoice.  Due to financial and legal requirements,   archival accounting practices are frequently required in this   application.   Where auditing procedures are used to verify conformance to usage or   security policies, security services may be desired.  This typically   will include authentication, integrity and replay protection as well   as confidentiality and data object integrity.  In order to permit   response to security incidents in progress, auditing applications   frequently are built to operate with low processing delay.Aboba, et al.                Informational                      [Page 9]

RFC 2975         Introduction to Accounting Management      October 20001.4.4.  Cost allocation   The application of cost allocation and billback methods by enterprise   customers is not yet widespread.  However, with the convergence of   telephony and data communications, there is increasing interest in   applying cost allocation and billback procedures to networking costs,   as is now commonly practiced with telecommunications costs.   Cost allocation models, including traditional costing mechanisms   described in [21]-[23] and activity-based costing techniques   described in [24] are typically based on detailed analysis of usage   data, and as a result they are almost always usage-sensitive.   Whether these techniques are applied to allocation of costs between   partners in a venture or to allocation of costs between departments   in a single firm, cost allocation models often have profound   behavioral and financial impacts.  As a result, systems developed for   this purposes are typically as concerned with reliable data   collection and security as are billing applications.  Due to   financial and legal requirements, archival accounting practices are   frequently required in this application.1.5.  Intra-domain and inter-domain accounting   Much of the initial work on accounting management has focused on   intra-domain accounting applications.  However, with the increasing   deployment of services such as dial-up roaming, Internet fax, Voice   and Video over IP and QoS, applications requiring inter-domain   accounting are becoming increasingly common.   Inter-domain accounting differs from intra-domain accounting in   several important ways.  Intra-domain accounting involves the   collection of information on resource consumption within an   administrative domain, for use within that domain.  In intra-domain   accounting, accounting packets and session records typically do not   cross administrative boundaries.  As a result, intra-domain   accounting applications typically experience low packet loss and   involve transfer of data between trusted entities.   In contrast, inter-domain accounting involves the collection of   information on resource consumption within an administrative domain,   for use within another administrative domain.  In inter-domain   accounting, accounting packets and session records will typically   cross administrative boundaries.  As a result, inter-domain   accounting applications may experience substantial packet loss.  In   addition, the entities involved in the transfers cannot be assumed to   trust each other.Aboba, et al.                Informational                     [Page 10]

RFC 2975         Introduction to Accounting Management      October 2000   Since inter-domain accounting applications involve transfers of   accounting data between domains, additional security measures may be   desirable.  In addition to authentication, replay and integrity   protection, it may be desirable to deploy security services such as   confidentiality and data object integrity.  In inter-domain   accounting each involved party also typically requires a copy of each   accounting event for invoice generation and auditing.1.6.  Accounting record production   Typically, a single accounting record is produced per session, or in   some cases, a set of interim records which can be summarized in a   single record for billing purposes.  However, to support deployment   of services such as wireless access or complex billing regimes, a   more sophisticated approach is required.   It is necessary to generate several accounting records from a single   session when pricing changes during a session.  For instance, the   price of a service can be higher during peak hours than off-peak.   For a session continuing from one tariff period to another, it   becomes necessary for a device to report "packets sent" during both   periods.   Time is not the only factor requiring this approach.  For instance,   in mobile access networks the user may roam from one place to another   while still being connected in the same session.  If roaming causes a   change in the tariffs, it is necessary to account for resource   consumed in the first and second areas.  Another example is where   modifications are allowed to an ongoing session.  For example, it is   possible that a session could be re-authorized with improved QoS.   This would require production of accounting records at both QoS   levels.   These examples could be addressed by using vectors or multi-   dimensional arrays to represent resource consumption within a single   session record.  For example, the vector or array could describe the   resource consumption for each combination of factors, e.g. one data   item could be the number of packets during peak hour in the area of   the home operator.  However, such an approach seems complicated and   inflexible and as a result, most current systems produce a set of   records from one session.  A session identifier needs to be present   in the records to permit accounting systems to tie the records   together.   In most cases, the network device will determine when multiple   session records are needed, as the local device is aware of factors   affecting local tariffs, such as QoS changes and roaming.  However,   future systems are being designed that enable the home domain toAboba, et al.                Informational                     [Page 11]

RFC 2975         Introduction to Accounting Management      October 2000   control the generation of accounting records.  This is of importance   in inter-domain accounting or when network devices do not have tariff   information.  The centralized control of accounting record production   can be realized, for instance, by having authorization servers   require re-authorization at certain times and requiring the   production of accounting records upon each re-authorization.   In conclusion, in some cases it is necessary to produce multiple   accounting records from a single session.  It must be possible to do   this without requiring the user to start a new session or to re-   authenticate.  The production of multiple records can be controlled   either by the network device or by the AAA server.  The requirements   for timeliness, security and reliability in multiple record sessions   are the same as for single-record sessions.Aboba, et al.                Informational                     [Page 12]

RFC 2975         Introduction to Accounting Management      October 20001.7.  Requirements summary   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                     |                   |   |  Usage          |   Intra-domain      | Inter-domain      |   |                 |                     |                   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 | Robustness vs.      | Robustness vs.    |   |                 | packet loss         | packet loss       |   |  Capacity       |                     |                   |   |  Planning       | Integrity,          | Integrity,        |   |                 | authentication,     | authentication,   |   |                 | replay protection   | replay prot.      |   |                 | [confidentiality]   | confidentiality   |   |                 |                     | [data object sec.]|   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |  Non-usage      | Integrity,          | Integrity,        |   |  Sensitive      | authentication,     | authentication,   |   |  Billing        | replay protection   | replay protection |   |                 | [confidentiality]   | confidentiality   |   |                 |                     | [data object sec.]|   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 | Archival            | Archival          |   |  Usage          | accounting          | accounting        |   |  Sensitive      | Integrity,          | Integrity,        |   |  Billing,       | authentication,     | authentication,   |   |  Cost           | replay protection   | replay prot.      |   |  Allocation &   | [confidentiality]   | confidentiality   |   |  Auditing       | [Bounds on          | [data object sec.]|   |                 |  processing delay]  | [Bounds on        |   |                 |                     | processing delay] |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 | Archival            | Archival          |   |  Time           | accounting          | accounting        |   |  Sensitive      | Integrity,          | Integrity,        |   |  Billing,       | authentication,     | authentication,   |   |  fraud          | replay protection   | replay prot.      |   |  detection,     | [confidentiality]   | confidentiality   |   |  roaming        |                     | [Data object      |   |                 | Bounds on           |  security and     |   |                 |  processing delay   |  receipt support] |   |                 |                     | Bounds on         |   |                 |                     |  processing delay |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   Key   [] = optionalAboba, et al.                Informational                     [Page 13]

RFC 2975         Introduction to Accounting Management      October 20002.  Scaling and reliability   With the continuing growth of the Internet, it is important that   accounting management systems be scalable and reliable.  This section   discusses the resources consumed by accounting management systems as   well as the scalability and reliability properties exhibited by   various data collection and transport models.2.1.  Fault resilience   As noted earlier, in applications such as usage-sensitive billing,   cost allocation and auditing, an archival approach to accounting is   frequently mandated, due to financial and legal requirements.  Since   in such situations loss of accounting data can translate to revenue   loss, there is incentive to engineer a high degree of fault   resilience.  Faults which may be encountered include:      Packet loss      Accounting server failures      Network failures      Device reboots   To date, much of the debate on accounting reliability has focused on   resilience against packet loss and the differences between UDP, SCTP   and TCP-based transport.  However, it should be understood that   resilience against packet loss is only  one aspect of meeting   archival accounting requirements.   As noted in [18], "once the cable is cut you don't need more   retransmissions, you need a *lot* more voltage."  Thus, the choice of   transport has no impact on resilience against faults such as network   partition, accounting server failures or device reboots.  What does   provide resilience against these faults is non-volatile storage.   The importance of non-volatile storage in design of reliable   accounting systems cannot be over-emphasized.  Without non-volatile   storage, event-driven systems will lose data once the transmission   timeout has been exceeded, and batching designs will experience data   loss once the internal memory used for accounting data storage has   been exceeded.  Via use of non-volatile storage, and internally   stored interim records, most of these data losses can be avoided.   It may even be argued that non-volatile storage is more important to   accounting reliability than network connectivity, since for many   years reliable accounting systems were implemented based solely on   physical storage, without any network connectivity.  For example,Aboba, et al.                Informational                     [Page 14]

RFC 2975         Introduction to Accounting Management      October 2000   phone usage data used to be stored on paper, film, or magnetic media   and carried from the place of collection to a central location for   bill processing.2.1.1.  Interim accounting   Interim accounting provides protection against loss of session   summary data by providing checkpoint information that can be used to   reconstruct the session record in the event that the session summary   information is lost.  This technique may be applied to any data   collection model (i.e. event-driven or polling) and is supported in   both RADIUS [25] and in TACACS+.   While interim accounting can provide resilience against packet loss,   server failures, short-duration network failures, or device reboot,   its applicability is limited.  Transmission of interim accounting   data over the wire should not be thought of as a mainstream   reliability improvement technique since it increases use of network   bandwidth in normal operation, while providing benefits only in the   event of a fault.   Since most packet loss on the Internet is due to congestion, sending   interim accounting data over the wire can make the problem worse by   increasing bandwidth usage.  Therefore on-the-wire interim accounting   is best restricted to high-value accounting data such as information   on long-lived sessions.  To protect against loss of data on such   sessions, the interim reporting interval is typically set several   standard deviations larger than the average session duration.  This   ensures that most sessions will not result in generation of interim   accounting events and the additional bandwidth consumed by interim   accounting will be limited.  However, as the interim accounting   interval decreases toward the average session time, the additional   bandwidth consumed by interim accounting increases markedly, and as a   result, the interval must be set with caution.   Where non-volatile storage is unavailable, interim accounting can   also result in excessive consumption of memory that could be better   allocated to storage of session data.  As a result, implementors   should be careful to ensure that new interim accounting data   overwrites previous data rather than accumulating additional interim   records in memory, thereby worsening the buffer exhaustion problem.   Given the increasing popularity of non-volatile storage for use in   consumer devices such as digital cameras, such devices are rapidly   declining in price.  This makes it increasingly feasible for network   devices to include built-in support for non-volatile storage.  This   can be accomplished, for example, by support for compact PCMCIA   cards.Aboba, et al.                Informational                     [Page 15]

RFC 2975         Introduction to Accounting Management      October 2000   Where non-volatile storage is available, this can be used to store   interim accounting data.  Stored interim events are then replaced by   updated interim events or by session data when the session completes.   The session data can itself be erased once the data has been   transmitted and acknowledged at the application layer.  This approach   avoids interim data being transmitted over the wire except in the   case of a device reboot.  When a device reboots, internally stored   interim records are transferred to the accounting server.2.1.2.  Multiple record sessions   Generation of multiple accounting records within a session can   introduce scalability problems that cannot be controlled using the   techniques available in interim accounting.   For example, in the case of interim records kept in non-volatile   storage, it is possible to overwrite previous interim records with   the most recent one or summarize them to a session record.  Where   interim updates are sent over the wire, it is possible to control   bandwidth usage by adjusting the interim accounting interval.   These measures are not applicable where multiple session records are   produced from a single session, since these records cannot be   summarized or overwritten without loss of information.  As a result,   multiple record production can result in increased consumption of   bandwidth and memory.  Implementors should be careful to ensure that   worst-case multiple record processing requirements do not exceed the   capabilities of their systems.   As an example, a tariff change at a particular time of day could, if   implemented carelessly, create a sudden peak in the consumption of   memory and bandwidth as the records need to be stored and/or   transported.  Rather than attempting to send all of the records at   once, it may be desirable to keep them in non-volatile storage and   send all of the related records together in a batch when the session   completes.  It may also be desirable to shape the accounting traffic   flow so as to reduce the peak bandwidth consumption.  This can be   accomplished by introduction of a randomized delay interval.  If the   home domain can also control the generation of multiple accounting   records, the estimation of the worst-case processing requirements can   be very difficult.2.1.3.  Packet loss   As packet loss is a fact of life on the Internet, accounting   protocols dealing with session data need to be resilient against   packet loss.  This is particularly important in inter-domain   accounting, where packets often pass through Network Access PointsAboba, et al.                Informational                     [Page 16]

RFC 2975         Introduction to Accounting Management      October 2000   (NAPs) where packet loss may be substantial.  Resilience against   packet loss can be accomplished via implementation of a retry   mechanism on top of UDP, or use of TCP [7] or SCTP [26].  On-the-wire   interim accounting provides only limited benefits in mitigating the   effects of packet loss.   UDP-based transport is frequently used in accounting applications.   However, this is not appropriate in all cases.  Where accounting data   will not fit within a single UDP packet without fragmentation, use of   TCP or SCTP transport may be preferred to use of multiple round-trips   in UDP.  As noted in [47] and [49], this may be an issue in the   retrieval of large tables.   In addition, in cases where congestion is likely, such as in inter-   domain accounting, TCP or SCTP congestion control and round-trip time   estimation will be very useful, optimizing throughput.  In   applications which require maintenance of session state, such as   simultaneous usage control, TCP and application-layer keep alive   packets or SCTP with its built-in heartbeat capabilities provide a   mechanism for keeping track of session state.   When implementing UDP retransmission, there are a number of issues to   keep in mind:      Data model      Retry behavior      Congestion control      Timeout behavior   Accounting reliability can be influenced by how the data is modeled.   For example, it is almost always preferable to use cumulative   variables rather than expressing accounting data in terms of a change   from a previous data item.  With cumulative data, the current state   can be recovered by a successful retrieval, even after many packets   have been lost.  However, if the data is transmitted as a change then   the state will not be recovered until the next cumulative update is   sent.  Thus, such implementations are much more vulnerable to packet   loss, and should be avoided wherever possible.   In designing a UDP retry mechanism, it is important that the retry   timers relate to the round-trip time, so that retransmissions will   not typically occur within the period in which acknowledgments may be   expected to arrive.  Accounting bandwidth may be significant in some   circumstances, so that the added traffic due to unnecessary   retransmissions may increase congestion levels.Aboba, et al.                Informational                     [Page 17]

RFC 2975         Introduction to Accounting Management      October 2000   Congestion control in accounting data transfer is a somewhat   controversial issue.  Since accounting traffic is often considered   mission-critical, it has been argued that congestion control is not a   requirement; better to let other less-critical traffic back off in   response to congestion.  Moreover, without non-volatile storage,   congestive back-off in accounting applications can result in data   loss due to buffer exhaustion.   However, it can also be argued that in modern accounting   implementations, it is possible to implement congestion control while   improving throughput and maintaining high reliability.  In   circumstances where there is sustained packet loss, there simply is   not sufficient capacity to maintain existing transmission rates.   Thus, aggregate throughput will actually improve if congestive back-   off is implemented.  This is due to elimination of retransmissions   and the ability to utilize techniques such as RED to desynchronize   flows.  In addition, with QoS mechanisms such as differentiated   services, it is possible to mark accounting packets for preferential   handling so as to provide for lower packet loss if desired.  Thus   considerable leeway is available to the network administrator in   controlling the treatment of accounting packets and hard coding   inelastic behavior is unnecessary.  Typically, systems implementing   non-volatile storage allow for backlogged accounting data to be   placed in non-volatile storage pending transmission, so that buffer   exhaustion resulting from congestive back-off need not be a concern.   Since UDP is not really a transport protocol, UDP-based accounting   protocols such as [4] often do not prescribe timeout behavior.  Thus   implementations may exhibit widely different behavior.  For example,   one implementation may drop accounting data after three constant   duration retries to the same server, while another may implement   exponential back-off to a given server, then switch to another   server, up to a total timeout interval of twelve hours, while storing   the untransmitted data on non-volatile storage.  The practical   difference between these approaches is substantial; the former   approach will not satisfy archival accounting requirements while the   latter may.  More predictable behavior can be achieved via use of   SCTP or TCP transport.2.1.4.  Accounting server failover   In the event of a failure of the primary accounting server, it is   desirable for the device to failover to a secondary server.   Providing one or more secondary servers can remove much of the risk   of accounting server failure, and as a result use of secondary   servers has become commonplace.Aboba, et al.                Informational                     [Page 18]

RFC 2975         Introduction to Accounting Management      October 2000   For protocols based on TCP, it is possible for the device to maintain   connections to both the primary and secondary accounting servers,   using the secondary connection after expiration of a timer on the   primary connection.  Alternatively,  it is possible to open a   connection to the secondary accounting server after a timeout or loss   of the primary connection, or on  expiration of a timer.  Thus,   accounting protocols based on TCP are capable of responding more   rapidly to connectivity failures than TCP timeouts would otherwise   allow, at the expense of an increased risk of duplicates.   With SCTP, it is possible to control transport layer timeout   behavior, and therefore it is not necessary for the accounting   application to maintain its own timers.  SCTP also enables   multiplexing of multiple connections within a single transport   connection, all maintaining the same congestion control state,   avoiding the "head of line blocking" issues that can occur with TCP.   However, since SCTP is not widely available, use of this transport   can impose an additional implementation burden on the designer.   For protocols using UDP, transmission to the secondary  server can   occur after a number of retries or timer expiration.  For   compatibility with congestion avoidance, it is advisable to   incorporate techniques such as round-trip-time estimation, slow start   and congestive back-off.  Thus the accounting protocol designer   utilizing UDP often is lead to re-inventing techniques already   existing in TCP and SCTP.  As a result, the use of raw UDP transport   in accounting applications is not recommended.   With any transport it is possible for the primary and secondary   accounting servers to receive duplicate packets, so support for   duplicate elimination is required.  Since accounting server failures   can result in data accumulation on accounting clients, use of non-   volatile storage can ensure against data loss due to transmission   timeouts or buffer exhaustion.  On-the-wire interim accounting   provides only limited benefits in mitigating the effects of   accounting server failures.2.1.5.  Application layer acknowledgments   It is possible for the accounting server to experience partial   failures.  For example, a failure in the database back end could   leave the accounting retrieval process or thread operable while the   process or thread responsible for storing the data is non-functional.   Similarly, it is possible for the accounting application to run out   of disk space, making it unable to continue storing incoming session   records.Aboba, et al.                Informational                     [Page 19]

RFC 2975         Introduction to Accounting Management      October 2000   In such cases it is desirable to distinguish between transport layer   acknowledgment and application layer acknowledgment.  Even though   both acknowledgments may be sent within the same packet (such as a   TCP segment carrying an application layer acknowledgment along with a   piggy-backed ACK), the semantics are different.  A transport-layer   acknowledgment means "the transport layer has taken responsibility   for delivering the data to the application", while an application-   layer acknowledgment means "the application has taken responsibility   for the data".   A common misconception is that use of TCP transport guarantees that   data is delivered to the application.  However, as noted inRFC 793   [7]:    An acknowledgment by TCP does not guarantee that the data has been    delivered to the end user, but only that the receiving TCP has taken    the responsibility to do so.   Therefore, if receiving TCP fails after sending the ACK, the   application may not receive the data.  Similarly, if the application   fails prior to committing the data to stable storage, the data may be   lost.  In order for a sending application to be sure that the data it   sent was received by the receiving application, either a graceful   close of the TCP connection or an application-layer acknowledgment is   required. In order to protect against data loss, it is necessary that   the application-layer acknowledgment imply that the data has been   written to stable storage or suitably processed so as to guard   against loss.   In the case of partial failures, it is possible for the transport   layer to acknowledge receipt via transport layer acknowledgment,   without having delivered the data to the application.  Similarly, the   application may not complete the tasks necessary to take   responsibility for the data.   For example, an accounting server may receive data from the transport   layer but be incapable of storing it data due to a back end database   problem or disk fault.  In this case it should not send an   application layer acknowledgment, even though a a transport layer   acknowledgment is appropriate.  Rather, an application layer error   message should be sent indicating the source of the problem, such as   "Backend store unavailable".   Thus application-layer acknowledgment capability requires not only   the ability to acknowledge when the application has taken   responsibility for the data, but also the ability to indicate when   the application has not taken responsibility for the data, and why.Aboba, et al.                Informational                     [Page 20]

RFC 2975         Introduction to Accounting Management      October 20002.1.6.  Network failures   Network failures may result in partial or complete loss of   connectivity for the accounting client.  In the event of partial   connectivity loss, it may not be possible to reach the primary   accounting server, in which case switch over to the secondary   accounting server is necessary.  In the event of a network partition,   it may be necessary to store accounting events in device memory or   non-volatile storage until connectivity can be re-established.   As with accounting server failures, on-the-wire interim accounting   provides only limited benefits in mitigating the effects of network   failures.2.1.7.  Device reboots   In the event of a device reboot, it is desirable to minimize the loss   of data on sessions in progress.  Such losses may be significant even   if the devices themselves are very reliable, due to long-lived   sessions, which can comprise a significant fraction of total resource   consumption.  To guard against loss of these high-value sessions,   interim accounting data is typically transmitted over the wire.  When   interim accounting in-place is combined with non-volatile storage it   becomes possible to guard against data loss in much shorter sessions.   This is possible since interim accounting data need only be stored in   non-volatile memory until the session completes, at which time the   interim data may be replaced by the session record.  As a result,   interim accounting data need never be sent over the wire, and it is   possible to decrease the interim interval so as to provide a very   high degree of protection against data loss.2.1.8.  Accounting proxies   In order to maintain high reliability, it is important that   accounting proxies pass through transport and application layer   acknowledgments and do not store and forward accounting packets.   This enables the end-systems to control re-transmission behavior and   utilize techniques such as non-volatile storage and secondary servers   to improve resilience.   Accounting proxies sending a transport or application layer ACK to   the device without receiving one from the accounting server fool the   device into thinking that the accounting request had been accepted by   the accounting server when this is not the case.  As a result, the   device can delete the accounting packet from non-volatile storage   before it has been accepted by the accounting server.  The leaves theAboba, et al.                Informational                     [Page 21]

RFC 2975         Introduction to Accounting Management      October 2000   accounting proxy responsible for delivering accounting packets.  If   the accounting proxy involves moving parts (e.g. a disk drive) while   the devices do not, overall system reliability can be reduced.   Store and forward accounting proxies only add value in situations   where the accounting subsystem is unreliable.  For example, where   devices do not implement non-volatile storage and the accounting   protocol lacks transport and application layer reliability, locating   the accounting proxy (with its stable storage) close to the device   can reduce the risk of data loss.   However, such systems are inherently unreliable so that they are only   appropriate for use in capacity planning or non-usage sensitive   billing applications.  If archival accounting reliability is desired,   it is necessary to engineer a reliable accounting system from the   start using the techniques described in this document, rather than   attempting to patch an inherently unreliable system by adding store   and forward accounting proxies.Aboba, et al.                Informational                     [Page 22]

RFC 2975         Introduction to Accounting Management      October 20002.1.9.  Fault resilience summary   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  Fault          |   Counter-measures                    |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  Packet         |   Retransmission based on RTT         |   |  loss           |   Congestion control                  |   |                 |   Well-defined timeout behavior       |   |                 |   Duplicate elimination               |   |                 |   Interim accounting*                 |   |                 |   Non-volatile storage                |   |                 |   Cumulative variables                |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  Accounting     |   Primary-secondary servers           |   |  server & net   |   Duplicate elimination               |   |  failures       |   Interim accounting*                 |   |                 |   Application layer ACK & error msgs. |   |                 |   Non-volatile storage                |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  Device         |   Interim accounting*                 |   |  reboots        |   Non-volatile storage                |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   Key   * = limited usefulness without non-volatile storage   Note: Accounting proxies are not a reliability   enhancement mechanism.2.2.  Resource consumption   In the process of growing to meet the needs of providers and   customers, accounting management systems consume a variety of   resources, including:      Network bandwidth      Memory      Non-volatile storage      State on the accounting management system      CPU on the management system and managed devicesAboba, et al.                Informational                     [Page 23]

RFC 2975         Introduction to Accounting Management      October 2000   In order to understand the limits to scaling, we examine each of   these resources in turn.2.2.1.  Network bandwidth   Accounting management systems consume network bandwidth in   transferring accounting data.  The network bandwidth consumed is   proportional to the amount of data transferred, as well as required   network overhead.  Since accounting data for a given event may be 100   octets or less, if each event is transferred individually, overhead   can represent a considerable proportion of total bandwidth   consumption.  As a result, it is often desirable to transfer   accounting data in batches, enabling network overhead to be spread   over a larger payload, and enabling efficient use of compression.  As   noted in [48], compression can be enabled in the accounting protocol,   or can be done at the IP layer as described in [5].2.2.2.  Memory   In accounting systems without non-volatile storage, accounting data   must be stored in volatile memory during the period between when it   is generated and when it is transferred.  The resulting memory   consumption will depend on retry and retransmission algorithms.   Since systems designed for high reliability will typically wish to   retry for long periods, or may store interim accounting data, the   resulting memory consumption can be considerable.  As a result, if   non-volatile storage is unavailable, it may be desirable to compress   accounting data awaiting transmission.   As noted earlier, implementors of interim accounting should take care   to ensure against excessive memory usage by overwriting older interim   accounting data with newer data for the same session rather than   accumulating interim data in the buffer.2.2.3.  Non-volatile storage   Since accounting data stored in memory will typically be lost in the   event of a device reboot or a timeout, it may be desirable to provide   non-volatile storage for undelivered accounting data.  With the costs   of non-volatile storage declining rapidly, network devices will be   increasingly capable of incorporating non-volatile storage support   over the next few years.   Non-volatile storage may be used to store interim or session records.   As with memory utilization, interim accounting overwrite is desirable   so as to prevent excessive storage consumption.  Note that the use of   ASCII data representation enables use of highly efficient text   compression algorithms that can minimize storage requirements.  SuchAboba, et al.                Informational                     [Page 24]

RFC 2975         Introduction to Accounting Management      October 2000   compression algorithms are only typically applied to session records   so as to enable implementation of interim data overwrite.2.2.4.  State on the accounting management system   In order to keep track of received accounting data, accounting   management systems may need to keep state on managed devices or   concurrent sessions.  Since the number of devices is typically much   smaller than the number of concurrent sessions, it is desirable to   keep only per-device state if possible.2.2.5.  CPU requirements   CPU consumption of the managed and managing nodes will be   proportional to the complexity of the required accounting processing.   Operations such as ASN.1 encoding and decoding,   compression/decompression, and encryption/decryption can consume   considerable resources, both on accounting clients and servers.   The effect of these operations on accounting system reliability   should not be under-estimated, particularly in the case of devices   with moderate CPU resources.  In the event that devices are over-   taxed by accounting tasks, it is likely that overall device   reliability will suffer.Aboba, et al.                Informational                     [Page 25]

RFC 2975         Introduction to Accounting Management      October 20002.2.6.  Efficiency measures   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  Resource       |   Efficiency measures                 |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  Network        |   Batching                            |   |  Bandwidth      |   Compression                         |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  Memory         |   Compression                         |   |                 |   Interim accounting overwrite        |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  Non-volatile   |   Compression                         |   |  Storage        |   Interim accounting overwrite        |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  System         |   Per-device state                    |   |  state          |                                       |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                                       |   |  CPU            |   Hardware assisted                   |   |  requirements   |     compression/encryption            |   |                 |                                       |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+2.3. Data collection models   Several data collection models are currently in use today for the   purposes of accounting data collection.  These include:      Polling model      Event-driven model without batching      Event-driven model with batching      Event-driven polling modelAboba, et al.                Informational                     [Page 26]

RFC 2975         Introduction to Accounting Management      October 20002.3.1.  Polling model   In the polling model, an accounting manager will poll devices for   accounting information at regular intervals.  In order to ensure   against loss of data, the polling interval will need to be shorter   than the maximum time that accounting data can be stored on the   polled device.  For devices without non-volatile stage, this is   typically determined by available memory; for devices with non-   volatile storage the maximum polling interval is determined by the   size of non-volatile storage.   The polling model results in an accumulation of data within   individual devices, and as a result, data is typically transferred to   the accounting manager in a batch, resulting in an efficient transfer   process.  In terms of Accounting Manager state, polling systems scale   with the number of managed devices, and system bandwidth usage scales   with the amount of data transferred.   Without non-volatile storage, the polling model results in loss of   accounting data due to device reboots, but not due to packet loss or   network failures of sufficiently short duration to be handled within   available memory.  This is because the Accounting Manager will   continue to poll until the data is received.  In situations where   operational difficulties are encountered, the volume of accounting   data will frequently increase so as to make data loss more likely.   However, in this case the polling model will detect the problem since   attempts to reach the managed devices will fail.   The polling model scales poorly for implementation of shared use or   roaming services, including wireless data, Internet telephony, QoS   provisioning or Internet access.  This is because in order to   retrieve accounting data for users within a given domain, the   Accounting Management station would need to periodically poll all   devices in all domains, most of which would not contain any relevant   data.  There are also issues with processing delay, since use of a   polling interval also implies an average processing delay of half the   polling interval.  This may be too high for accounting data that   requires low processing delay.  Thus the event-driven polling or the   pure event-driven approach is more appropriate for usage sensitive   billing applications such as shared use or roaming implementations.   Per-device state is typical of polling-based network management   systems, which often also carry out accounting management functions,   since network management systems need to  keep track of the state of   network devices for operational purposes.  These systems offer   average processing delays equal to half the polling interval.Aboba, et al.                Informational                     [Page 27]

RFC 2975         Introduction to Accounting Management      October 20002.3.2.  Event-driven model without batching   In the event-driven model, a device will contact the accounting   server or manager when it is ready to transfer accounting data.  Most   event-driven accounting systems, such as those based on RADIUS   accounting, described in [4], transfer only one accounting event per   packet, which is inefficient.   Without non-volatile storage, a pure event-driven model typically   stores accounting events that have not yet been delivered only until   the timeout interval expires.  As a result this model has the   smallest memory requirements.  Once the timeout interval has expired,   the accounting event is lost, even if the device has sufficient   buffer space to continue to store it.  As a result, the event-driven   model is the least reliable, since accounting data loss will occur   due to device reboots, sustained packet loss, or network failures of   duration greater than the timeout interval.  In event-driven   protocols without a "keep alive" message, accounting servers cannot   assume a device failure should no messages arrive for an extended   period.  Thus, event-driven accounting systems are typically not   useful in monitoring of device health.   The event-driven model is frequently used in shared use networks and   roaming, since this model sends data to the recipient domains without   requiring them to poll a large number of devices, most of which have   no relevant data.  Since the event-driven model typically does not   support batching, it permits accounting records to be sent with low   processing delay, enabling application of fraud prevention   techniques.  However, because roaming accounting events are   frequently of high value, the poor reliability of this model is an   issue.  As a result, the event-driven polling model may be more   appropriate.   Per-session state is typical of event-driven systems without   batching.  As a result, the event-driven approach scales poorly.   However, event-driven systems offer the lowest processing delay since   events are processed immediately and there is no possibility of an   event requiring low processing delay being caught behind a batch   transfer.2.3.3.  Event-driven model with batching   In the event-driven model with batching, a device will contact the   accounting server or manager when it is ready to transfer accounting   data.  The device can contact the server when a batch of a given size   has been gathered, when data of a certain type is available or after   a minimum time period has elapsed.  Such systems can transfer more   than one accounting event per packet and are thus more efficient.Aboba, et al.                Informational                     [Page 28]

RFC 2975         Introduction to Accounting Management      October 2000   An event-driven system with batching will store accounting events   that have not yet been delivered up to the limits of memory.  As a   result, accounting data loss will occur due to device reboots, but   not due to packet loss or network failures of sufficiently short   duration to be handled within available memory.  Note that while   transfer efficiency will increase with batch size, without non-   volatile storage, the potential data loss from a device reboot will   also increase.   Where event-driven systems with batching have a keep-alive interval   and run over reliable transport, the accounting server can assume   that a failure has occurred if no messages are received within the   keep-alive interval.  Thus, such implementations can be useful in   monitoring of device health.  When used for this purpose the average   time delay prior to failure detection is one half the keep-alive   interval.   Through implementation of a scheduling algorithm, event-driven   systems with batching can deliver appropriate service to accounting   events that require low processing delay.  For example, high-value   inter-domain accounting events could be sent immediately, thus   enabling use of fraud-prevention techniques, while all other events   would be batched.  However, there is a possibility that an event   requiring low processing delay will be caught behind a batch transfer   in progress.  Thus the maximum processing delay is proportional to   the maximum batch size divided by the link speed.   Event-driven systems with batching scale with the number of active   devices.  As a result this approach scales better than the pure   event-driven approach, or even the polling approach, and is   equivalent in terms of scaling to the event-driven polling approach.   However, the event-driven batching approach has lower processing   delay than the event-driven polling approach, since delivery of   accounting data requires fewer round-trips and events requiring low   processing delay can be accommodated if a scheduling algorithm is   employed.2.3.4.  Event-driven polling model   In the event-driven polling model an accounting manager will poll the   device for accounting data only when it receives an event.  The   accounting client can generate an event when a batch of a given size   has been gathered, when data of a certain type is available or after   a minimum time period has elapsed.  Note that while transfer   efficiency will increase with batch size, without non-volatile   storage, the potential data loss from a device reboot will also   increase.Aboba, et al.                Informational                     [Page 29]

RFC 2975         Introduction to Accounting Management      October 2000   Without non-volatile storage, an event-driven polling model will lose   data due to device reboots, but not due to packet loss, or network   partitions of short-duration.  Unless a minimum delivery interval is   set, event-driven polling systems are not useful in monitoring of   device health.   The event-driven polling model can be suitable for use in roaming   since it permits accounting data to be sent to the roaming partners   with low processing delay.  At the same time non-roaming accounting   can be handled via more efficient polling techniques, thereby   providing the best of both worlds.   Where batching can be implemented, the state required in event-driven   polling can be reduced to scale with the number of active devices.   If portions of the network vary widely in usage, then this state may   actually be less than that of the polling approach.  Note that   processing delay in this approach is higher than in event-driven   accounting with batching since at least two round-trips are required   to deliver data: one for the event notification, and one for the   resulting poll.Aboba, et al.                Informational                     [Page 30]

RFC 2975         Introduction to Accounting Management      October 20002.3.5.  Data collection summary   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                   |                   |   |     Model       |       Pros        |      Cons         |   |                 |                   |                   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |  Polling        | Per-device state  | Not robust        |   |                 | Robust against    |  against device   |   |                 |   packet loss     |  reboot, server   |   |                 | Batch transfers   |  or network       |   |                 |                   |  failures*        |   |                 |                   | Polling interval  |   |                 |                   |  determined by    |   |                 |                   |  storage limit    |   |                 |                   | High processing   |   |                 |                   |  delay            |   |                 |                   | Unsuitable for    |   |                 |                   |  use in roaming   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |  Event-driven,  | Lowest processing | Not robust        |   |   no batching   |  delay            |  against packet   |   |                 | Suitable for      |  loss, device     |   |                 |  use in roaming   |  reboot, or       |   |                 |                   |  network          |   |                 |                   |  failures*        |   |                 |                   | Low efficiency    |   |                 |                   | Per-session state |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |  Event-driven,  | Single round-trip | Not robust        |   |   with batching |  latency          |  against device   |   |      and        | Batch transfers   |  reboot, network  |   |   scheduling    | Suitable for      |  failures*        |   |                 |  use in roaming   |                   |   |                 | Per active device |                   |   |                 |  state            |                   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |  Event-driven   | Batch transfers   | Not robust        |   |   polling       | Suitable for      |  against device   |   |                 |  use in roaming   |  reboot, network  |   |                 | Per active device |  failures*        |   |                 |  state            | Two round-trip    |   |                 |                   |  latency          |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   Key   * = addressed by non-volatile storageAboba, et al.                Informational                     [Page 31]

RFC 2975         Introduction to Accounting Management      October 20003.  Review of Accounting Protocols   Accounting systems have been successfully implemented using protocols   such as RADIUS, TACACS+, and SNMP.  This section describes the   characteristics of each of these protocols.3.1.  RADIUS   RADIUS accounting, described in [4], was developed as an add-on to   the RADIUS authentication protocol, described in [3].  As a result,   RADIUS accounting shares the event-driven approach of RADIUS   authentication, without support for batching or polling.  As a   result, RADIUS accounting scales with the number of accounting events   instead of the number of devices, and accounting transfers are   inefficient.   Since RADIUS accounting is based on UDP and timeout and retry   parameters are not specified, implementations vary widely in their   approach to reliability, with some implementations retrying until   delivery or buffer exhaustion, and others losing accounting data   after a few retries.  Since RADIUS accounting does not provide for   application-layer acknowledgments or error messages, a RADIUS   Accounting-Response is equivalent to a transport-layer acknowledgment   and provides no protection against application layer malfunctions.   Due to the lack of reliability, it is not possible to do simultaneous   usage control based on RADIUS accounting alone.  Typically another   device data source is required, such as polling of a session MIB or a   command-line session over telnet.   RADIUS accounting implementations are vulnerable to packet loss as   well as application layer failures, network failures and device   reboots.  These deficiencies are magnified in inter-domain accounting   as is required in roaming ([1],[2]).  On the other hand, the event-   driven approach of RADIUS accounting is useful where low processing   delay is required, such as credit risk management or fraud detection.   While RADIUS accounting does provide hop-by-hop authentication and   integrity protection, and IPSEC can be employed to provide hop-by-hop   confidentiality, data object security is not supported, and thus   systems based on RADIUS accounting are not capable of being deployed   with untrusted proxies, or in situations requiring auditability, as   noted in [2].   While RADIUS does not support compression, IP compression, described   in [5], can be employed to provide this.  While in principle   extensible with the definition of new attributes, RADIUS suffers from   the very small standard attribute space (256 attributes).Aboba, et al.                Informational                     [Page 32]

RFC 2975         Introduction to Accounting Management      October 20003.2.  TACACS+   TACACS+ offers an accounting model with start, stop, and interim   update messages.  Since TACACS+ is based on TCP, implementations are   typically resilient against packet loss and short-lived network   partitions, and TACACS+ scales with the number of devices.  Since   TACACS+ runs over TCP, it offers support for both transport layer and   application layer acknowledgments, and is suitable for simultaneous   usage control and handling of accounting events that require moderate   though not the lowest processing delay.   TACACS+ provides for hop-by-hop authentication and integrity   protection as well as hop-by-hop confidentiality.  Data object   security is not supported, and therefore systems based on TACACS+   accounting are not deployable in the presence of untrusted proxies.   While TACACS+ does not support compression, IP compression, described   in [5], can be employed to provide this.3.3.  SNMP   SNMP, described in [19],[27]-[41], has been widely deployed in a wide   variety of intra-domain accounting applications, typically using the   polling data collection model.  Polling allows data to be collected   on multiple accounting events simultaneously, resulting in per-device   state.  Management applications are able to retry requests when a   response is not received, providing resiliency against packet loss or   even short-lived network partitions.  Implementations without non-   volatile storage are not robust against device reboots or network   failures, but when combined with non-volatile storage they can be   made highly reliable.   SMIv1, the data modeling language of SNMPv1, has traps to permit   trap-directed polling, but the traps are not acknowledged, and lost   traps can lead to a loss of data.  SMIv2, used by SNMPv2c and SNMPv3,   has Inform Requests which are acknowledged notifications.  This makes   it possible to implement a more reliable event-driven polling model   or event-driven batching model.  However, we are not aware of any   SNMP-based accounting implementations currently built on the use of   Informs.3.3.1.  Security services   SNMPv1 and SNMPv2c support per-packet authentication and read-only   and read-write access profiles, via the community string.  This   clear-text password approach provides only trivial authentication,   and no per-packet integrity checks, replay protection or   confidentiality.  View-based access control [40] can be supported   using the snmpCommunityMIB, defined in [11], and SNMPv1 or SNMPv2cAboba, et al.                Informational                     [Page 33]

RFC 2975         Introduction to Accounting Management      October 2000   messages.  The updated SNMP architecture [rfc2571] supports per-   packet hop-by-hop authentication, integrity and replay protection,   confidentiality and access control.   The SNMP User Security Model (USM) [38] uses shared secrets, and when   the product of the number of domains and devices is large, such as in   inter-domain accounting applications, the number of shared secrets   can get out of hand.  The localized key capability in USM allows a   manager to have one central key, sharing it with many SNMP entities   in a localized way while preventing the other entities from getting   at each other's data.  This can assist in cross-domain security if   deployed properly.   SNMPv3 does not support end-to-end data object integrity and   confidentiality; SNMP proxy entities decrypt and re-encrypt the data   they forward.  In the presence of an untrusted proxy entity, this   would be inadequate.3.3.2.  Application layer acknowledgments   SNMP uses application-layer acknowledgment to indicate that data has   been processed.  SNMP Responses to get, get-next, or get-bulk   requests return the requested data, or an error code indicating the   nature of the error encountered.   A noError SNMP Response to a SET command indicates that the requested   assignments were made by the application.  SNMP SETs are atomic; the   command either succeeds or fails.  An error-response indicates that   the entity received the request, but did not succeed in executing it.   Notifications do not use acknowledgements to indicate that data has   been processed.  The Inform notification returns an acknowledgement   of receipt, but not of processing, by design.  Since the updated SNMP   architecture treats entities as peers with varying levels of   functionality, it is possible to use SETs in either direction between   cooperating entities to achieve processing acknowledgements.   There are eighteen SNMP error codes.  The design of SNMP makes   service-specific error codes unnecessary and undesirable.3.3.3.  Proxy forwarders   In the accounting management architecture, proxy forwarders play an   important role, forwarding intra and inter-domain accounting events   to the correct destinations.  The proxy forwarder may also play a   role in a polling or event-driven polling architecture.Aboba, et al.                Informational                     [Page 34]

RFC 2975         Introduction to Accounting Management      October 2000   The functionality of an SNMP Proxy Forwarder is defined in [39].  For   example, the network devices may be configured to send notifications   for all domains to the Proxy Forwarder, and the devices may be   configured to allow the Proxy Forwarder to access all MIB data.   The use of proxy forwarders may reduce the number of shared secrets   required for inter-domain accounting.  With Proxy Forwarders, the   domains could share a secret with the Proxy Forwarder, and in turn,   the Proxy Forwarder could share a secret with each of the devices.   Thus the number of shared secrets will scale with the sum of the   number of devices and domains rather than the product.   The engine of an SNMP Proxy Forwarder does not look inside the PDU of   the message except to determine to which SNMP engine the PDU should   be forwarded or which local SNMP application should process the PDU.   The SNMP Proxy Forwarder does not modify the varbind values; it does   not modify the varbind list except to translate between SNMP   versions; and it does not provide any varbind level access control.3.3.4.  Domain-based access controls in SNMP   Domain-based access controls are required where multiple   administrative domains are involved, such as in the shared use   networks and roaming associations described in [1].  Since the same   device may be accessed by multiple organizations, it is often   necessary to control access to accounting data according to the   user's organization.  This ensures that organizations may be given   access to accounting data relating to their users, but not to data   relating to users of other organizations.   In order to apply domain-based access controls, in inter-domain   accounting, it is first necessary to identify the data subset that is   to have its access controlled.  Several conceptual abstractions are   used for identifying subsets of data in SNMP.  These include engines,   contexts, and views.  This section describes how this functionality   may be applied in intra and inter-domain accounting.3.3.4.1.  Engines   The new SNMP architecture, described in [27], added the concept of an   SNMP engine to improve mobility support and to identify which data   source is being referenced.  The engine is the portion of an SNMP   entity that constructs messages, provides security functions, and   maps to the transport layer.  Traditional agents and traditional   managers each contain an SNMP engine.  engineID allows an SNMP engine   to be uniquely identified, independent of the address where it is   attached to the network.Aboba, et al.                Informational                     [Page 35]

RFC 2975         Introduction to Accounting Management      October 2000   A securityEngineID field in a message identifies the engine which   provides access to the security credentials contained in the message   header.  A contextEngineID field in a message identifies the engine   which provides access to the data contained in the PDU.   The SNMPv3 message format explicitly passes both.  In SNMPv1 and   SNMPv2c, the data origin is typically assumed to be the   communications endpoint (SNMP agent).  SNMPv1 and SNMPv2c messages   contain a community name; the community name and the source address   can be mapped to an engineID via the snmpCommunityTable, described in   [11].3.3.4.2.  Contexts   Contexts are used to identify subsets of objects, within the scope of   an engine, that are tied to instrumentation.  A contextName refers to   a particular subset within an engine.   Contexts are commonly tied to hardware components, to logical   entities related to the hardware components, or to logical services.   For example, contextNames might include board5, board7, repeater1,   repeater2, etc.   An SNMP agent populates a read-only dynamic table to tell the manager   what contexts it recognizes.  Typically contexts are defined by the   agent rather than the manager since if the manager defined them, the   agent would not know how to tie the contexts to the underlying   instrumentation.  It is possible that MIB modules could be defined to   allow a manager to assign contextNames to a logical subset of   instrumentation.   While each context may support instances of multiple MIB modules,   each contextName is limited to one instance of a particular MIB   module.  If multiple instances of a MIB module are required per   engine, then unique contextNames must be defined (e.g. repeater1,   repeater2).  The default context "" is used for engines which only   support single instances of MIB modules, and it is used for MIB   modules where it only makes sense to have one instance of that MIB   module in an engine and that instance must be easy to locate, such as   the system MIB or the security MIBs.   SNMPv3 messages contain contextNames which are limited to the scope   of the contextEngineID in the message.  SNMPv1 and SNMPv2c messages   contain communities which can be mapped to contextNames within the   local engine, or can be mapped to contextNames within other engines   via the snmpCommunityTable, described in [11].Aboba, et al.                Informational                     [Page 36]

RFC 2975         Introduction to Accounting Management      October 20003.3.4.3.  Views   Views are defined in the View-based Access Control Model.  A view is   a mask which is used to determine access to the managed objects in a   particular context.  The view identifies which objects are visible,   by specifying OIDs of the subtrees included and excluded.  There is   also a mechanism to allow wildcards in the OID specification.   For example, it is possible to define a view that includes RMON   tables, and another view that includes only the SNMPv3 security   related tables.  Using these views, it is possible to allow access to   the RMON view for users Joe and Josephine (the RMON administrators),   and access to the SNMPv3 security tables for user Adam (the SNMP   security Administrator).   Views can be set up with wildcards.  For a table that is indexed   using IP addresses, Joe can be allowed access to all rows in given   RMON tables (e.g. the RMON hostTable) that are in the subnet   10.2.x.x, while Josephine is given access to all rows for subnet   10.200.x.x.   Views filter at the name level (OIDs), not at the value level, so   defining views based on the values of non-index data is not   supported.  In this example, were the IP address to have been used   merely as a data item rather than an index, it would not be possible   to utilize view-based access control to achieve the desired objective   (delegation of administrative responsibility according to subnet).   View-based access control is independent of message version.  It can   be utilized by entities using SNMPv1, SNMPv2c, or SNMPv3 message   formats.3.3.5.  Inter-domain access-control alternatives   As the number of network devices within the shared use or roaming   network grows, the polling model of data collection becomes   increasingly impractical since most devices will not carry data   relating to the polling organization.  As a result, shared-use   networks or roaming associations relying on SNMP-based accounting   have generally collected data for all organizations and then sorted   the resulting session records for delivery to each organization.   While functional, this approach will typically result in increased   processing delay as the number of organizations and data records   grows.   This issue can be addressed in SNMP using the event-driven, event-   driven polling or event-driven batching approaches.  Traps and   Informs permit SNMP-enabled devices to notify domains that haveAboba, et al.                Informational                     [Page 37]

RFC 2975         Introduction to Accounting Management      October 2000   accounting data awaiting collection.  SNMP Applications [39] defines   a standard module for managing notifications.   To use the event-driven approaches, the device must be able to   determine when information is available for a domain.  Domain-   specific data can be differentiated at the SNMP agent level through   the use of the domain as an index, and the separation of data into   domain-specific contexts.3.3.5.1.  Domain as index   View-based access control [40] allows multiple fine-grained views of   an SNMP MIB to be assigned to specific groups of users, such that   access rights to the included data elements depend on the identity of   the user making the request.   For example, all users of bigco.com which are allowed access to the   device would be defined in the User-based security MIB module (or   other security model MIB module).  For simplicity in administering   access control, the users can be grouped using a vacmGroupName, e.g.   bigco.  A view of a subset of the data objects in the MIB can be   defined in the vacmViewFamilyTreeTable.  A vacmAccessTable pairs   groups and views.  For messages received from users in the bigco   group, access would only be provided to the data permitted to be   viewed by bigco users, as defined in the view family tree.  This   requires that each domain accessing the data be given one or more   separate vacmGroupNames, an appropriate ViewTable be defined, and the   vacmAccessTable be configured for each group.   Views filter at the name (OID) level, not at the data (value) level.   When using views to filter by domain it is necessary to use the   domain as an index.  Standard view-based access control is not   designed to filter based on the values on non-indexed fields.   For example, a table of session data could be indexed by record   number and domain, allowing a view to be defined that could restrict   access to bigco data to the administrators of the bigco domain.   An advantage of using domains as an index is that this technique can   be used with SNMPv1 and SNMPv2c agents as well as with SNMPv3 agents.   A disadvantage is that the MIB modules must be specifically designed   for this purpose.  Since existing MIB modules rarely use the domain   as an index, domain separation cannot be enabled within legacy MIB   modules using this technique.   SNMP does support a RowPointer convention that could be used to   define a new table, indexed by domain, which holds tuples between the   domain and existing rows of data.  This would introduce issues ofAboba, et al.                Informational                     [Page 38]

RFC 2975         Introduction to Accounting Management      October 2000   synchronization between tables.3.3.5.2.  Contexts   ContextNames can be used to differentiate multiple instances of a MIB   module within an engine.   Individual domains, such as bigco.com, could be mapped to logical   contexts, such as a bigco context.  The agent would need to create   and recognize new contexts and to know which instrumentation is   associated with the logical context.  The agent needs to collect   accounting data by domain and make the data accessible via distinct   contexts, so that access control can be applied to the context to   prevent disclosure of sensitive information to the wrong domain.  The   VACM access control views are applied relative to the context, so an   operation can be permitted or denied a user based on the context   which contains the data.   Domain separation is handled by using contextName to differentiate   multiple virtual tables.  For example, if accounting data has been   collected on users with the bigco.com and smallco.com domains, then a   separate virtual instance of the accounting session record table   would exist for each domain, and each domain would have a   corresponding contextName.  When a get-bulk request is made with a   contextName of bigco, then data from the virtual table in the bigco   context, i.e.  corresponding to the bigco.com domain, would be   returned.   There are a number of design approaches to creating new contexts and   associating the contexts with appropriate instrumentation, most   notably a sub-agent approach and a manager-configured MIB approach.   AgentX [51], which standardizes a registration protocol between sub-   agents and master agents to simplify SNMP agent implementation,   allows for the creation and recognition of new contextNames when a   subagent registers to provide support for a particular MIB subtree   range.  The sub-agent knows how to support a particular   functionality, e.g.  instrumentation exposed via a range of MIB   objects.  Based on values detected in the data, such as   source=bigco.com, the sub-agent could determine that a new domain   needed to be tracked and create the appropriate context for the   collection of the data, plus the appropriate access control entries.   The determination could be table-driven, using MIB configuration.   A manager-driven approach could use a MIB module to predefine   contextNames corresponding to the domains of interest, and to   indicate which objects should be collected, how to differentiate to   which domain the data should be applied based on a specifiedAboba, et al.                Informational                     [Page 39]

RFC 2975         Introduction to Accounting Management      October 2000   condition, and what access control rules apply to the context.   Either technique could associate existing MIB modules to domain-   specific contexts, so domain separation can be applied to MIB modules   not specifically designed with domain separation in mind.  Legacy   agents would not be designed to do this, so they would need to be   updated to support inter-domain separation and VACM access control.   The use of contextNames for inter-domain separation represents new   territory, so careful consideration would be needed in designing the   MIB modules and applications to provide domain to context and context   to instrumentation mappings, and to ensure that security is not   weakened.3.3.6.  Outstanding issues   There are issues that arise when using SNMP for transfer of bulk   data, including issues of latency, network overhead, and table   retrieval, as discussed in [49].   In accounting applications, management stations often must retrieve   large tables.  Latency can be high, even with the get-bulk operation,   because the response must fit into the largest supported packet size,   requiring multiple round-trips.  Transfers may be serialized and the   resulting latency will be a combination of multiple round-trip times,   possible timeout and re-transmission delays and processing overhead,   which may result in unacceptable performance.  Since data may change   during the course of multiple retrievals, it can be difficult to get   a consistent snapshot.   For bulk transfers, SNMP network overhead can be high due to the lack   of compression, inefficiency of BER encoding, the  transmission of   redundant OID prefixes, and the "get-bulk overshoot problem".  In   bulk transfer of a table, the OIDs transferred are redundant: all OID   prefixes up to the column number are identical, as are the instance   identifier postfixes of all entries of a single table row.  Thus it   may be possible to reduce this redundancy by compressing the OIDs, or   by not transferring an OID with each variable.   The "get-bulk overshoot problem", described in reference [50], occurs   when using the get-bulk PDU.  The problem is that the manager   typically does not know the number of rows in the table.  As a   result, it must either request too many rows, retrieving unneeded   data, or too few, resulting in the need for multiple get-bulk   requests.  Note that the "get-bulk overshoot" problem may be   preventable on the agent side.  Reference [41] states that an agent   can terminate the get-bulk because of "local constraints" (see items   1 and 3 on pages 15/16 of [41]).  This could be interpreted to meanAboba, et al.                Informational                     [Page 40]

RFC 2975         Introduction to Accounting Management      October 2000   that it is possible to stop at the end of a table.3.3.6.1.  Ongoing research   To address issues of latency and efficiency, the Network Management   Research Group (NMRG) was formed within the Internet Research Task   Force (IRTF).  Since the NMRG work is research and is not on the   standards track, it should be understood that the NMRG proposals may   never be standardized, or may change substantially during the   standardization process.  As a result, these proposals represent   works in progress and are not readily available for use.   The proposals under discussion in the IRTF Network Management   Research Group (NMRG) are described in [46].  These include an SNMP-   over-TCP transport mapping, described in [47]; SNMP payload   compression, described in [48]; and the addition of a "get subtree"   PDU or the subtree retrieval MIB [50].   The SNMP-over-TCP transport mapping may result in substantial latency   reductions in table retrieval.  The latency reduction of an SNMP-   over-TCP transport mapping will likely manifest itself primarily in   the polling, event-driven polling and event-driven batching modes.   Payload compression methods include compression of the IP packet, as   described in [5] or compression of the SNMP payload, described in   [48].   Proposed improvements to table retrieval include a subtree retrieval   MIB and the addition of a get-subtree PDU.  The subtree retrieval MIB   [50] requires no changes to the SNMP protocol or SNMP protocol   engine, so it can be implemented and deployed more easily than a   change to the protocol.  The addition of a get-subtree PDU implies   changes to the protocol and to the engines of all SNMP entities which   would support it.  Since it may be possible to address the "get-bulk   overshoot problem" without changes to the SNMP protocol, the   necessity of this modification is controversial.   Reference [49] also discusses file-based storage of SNMP data, and   use of an FTP MIB, to enable storage of SNMP data in non-volatile   storage, and subsequent bulk transfer via FTP.  This approach would   require implementation of additional MIB modules as well as FTP, and   requires separate security mechanisms such as IPSEC to provide   authentication, replay, integrity protection and confidentiality for   the data in transit.  The file-based transfer approach has an   important benefit - compatibility with non-volatile storage.Aboba, et al.                Informational                     [Page 41]

RFC 2975         Introduction to Accounting Management      October 2000   Issues of legacy support exist with the NMRG proposals.  Devices   which do not implement the new functionality would need to be   accommodated.  This is especially problematic for proxy forwarders,   which may need to act as translators between new and legacy entities.   In these situations, the overhead of translation may offset the   benefits of the new technologies.3.3.6.2.  On-going security extension research   In order to simplify key management and enable use of certificate-   based security in SNMPv3, a Kerberos Security Model (KSM) for SNMPv3   has been proposed in [44].  This memo is not on the standards track,   and therefore is not yet readily available for use.   Use of Kerberos with SNMPv3 requires storage of a key on the KDC for   each device and domain, while dynamically generating a session key   for conversations between domains and devices.  In terms of stored   keys, the KSM approach scales with the sum of devices and domains; in   terms of dynamic session keys, it scales as the product of domains   and devices.   As Kerberos is extended to allow initial authentication via public   key, as described in [42], and cross-realm authentication, as   described in [43], the KSM inherits these capabilities.  As a result,   this approach may have potential to reduce or even eliminate the   shared secret management problem.  However, it should also be noted   that certificate-based authentication can strain the limits of UDP   packet sizes supported in SNMP implementations, so that alternate   transport mappings may be required to support this.   An IPSEC-based security model for SNMPv3 has been discussed.   Implementation of such a security model would require the SNMPv3   engine to be able to retrieve the properties of the IPSEC security   association used to protect the SNMPv3 traffic.  This would include   the security services invoked, as well as information relating to the   other endpoint, such as the authentication method and presented   identity and certificate.  To date such APIs have not been widely   implemented, and in addition, most IPSEC implementations only support   machine certificates, which may not provide the required granularity   of identification.  Thus, an IPSEC-based security model for SNMPv3   would probably take several years to come to fruition.3.3.7.  SNMP summary   Given the wealth of existing accounting-related MIB modules, it is   likely that SNMP will remain a popular accounting protocol for the   foreseeable future.Aboba, et al.                Informational                     [Page 42]

RFC 2975         Introduction to Accounting Management      October 2000   Support for notifications makes it possible to implement the event-   driven, event-driven polling and event-driven batching models.  This   makes it possible to notify domains of available data rather than   requiring them to poll for it, which is critical in shared use   networks and roaming.   Given the SNMPv3 security enhancements, it is desirable for SNMP-   based intra-domain accounting implementations to upgrade to SNMPv3.   Such an upgrade is virtually mandatory for inter-domain applications.   In inter-domain accounting, the burden of managing SNMPv3 shared   secrets can be reduced via the localized key capability or via   implementation of a Proxy Forwarder.  In the long term, alternative   security models such as the Kerberos Security Model may further   reduce the effort required to manage security and enable streamlined   inter-domain operation.   SNMP-based accounting has limitations in terms of efficiency and   latency that may make it inappropriate for use in situations   requiring low processing delay or low overhead.  This includes usage   sensitive billing applications where fraud detection may be required.   These issues can be addressed via proposals under discussion in the   IRTF Network Management Research Group (NMRG).  The experimental SNMP   over TCP transport mapping may prove helpful at reducing latency.   Depending on the volume of data, some form of compression may also be   worth considering.  However, since these proposals are still in the   research stage, and are not on the standards track, these   capabilities are not readily available, and the specifications could   change considerably before they reach their final form.   SNMP supports separation of accounting data by domain, using either   of two general approaches with the VACM access control model.  The   domain as index approach can be used if the desired MIB module   supports domain indexing, or it can implemented using an additional   table.  The domain-context approach can be used in agents which   support dynamic logical contexts and a domain-to-context and   context-to-instrumentation mapping mechanism.  Either approach can be   supported using SNMPv1, SNMPv2c, or SNMPv3 messages, by utilizing the   snmpCommunitytable [11] to provide a community-to-context mapping.4.  Review of Accounting Data Transfer   In order for session records to be transmitted between accounting   servers, a transfer protocol is required.  Transfer protocols in use   today include SMTP, FTP, and HTTP.  For a review of accounting   attributes and record formats, see [45].Aboba, et al.                Informational                     [Page 43]

RFC 2975         Introduction to Accounting Management      October 2000   Reference [49] contains a discussion of alternative encodings for SMI   data types, as well as alternative protocols for transmission of   accounting data.  For example, [49] describes how MIME tags and XML   DTDs may be used for encoding of SNMP messages or SMI data types.   This enables data from SNMP MIBs to be transported using any protocol   that can encapsulate MIME or XML, including SMTP and HTTP.4.1.  SMTP   To date, few accounting management systems have been built on SMTP   since the implementation of a store-and-forward message system has   traditionally required access to non-volatile storage which has not   been widely available on network devices.  However, SMTP-based   implementations have many desirable characteristics, particularly   with regards to security.   Accounting management systems using SMTP for accounting transfer will   typically support batching so that message processing overhead will   be spread over multiple accounting records.  As a result, these   systems result in per-active device state.  Since accounting systems   using SMTP as a transfer mechanism have access to substantial non-   volatile storage, they can generate, compress if necessary, and store   accounting records until they are transferred to the collection site.   As a result, accounting systems implemented using SMTP can be highly   efficient and scalable.  Using IPSEC, TLS or Kerberos, hop-by-hop   security services such as authentication, integrity protection and   confidentiality can be provided.   As described in [13] and [15], data object security is available for   SMTP, and in addition, the facilities described in [12] make it   possible to request and receive signed receipts, which enables non-   repudiation as described in [12]-[17].  As a result, accounting   systems utilizing SMTP for accounting data transfer are capable of   satisfying the most demanding security requirements.  However, such   systems are not typically capable of providing low processing delay,   although this may be addressed by the enhancements described in [20].4.2.  Other protocols   File transfer protocols such as FTP and HTTP have been used for   transfer of accounting data.  For example, Reference [9] describes a   means for representing ASN.1-based accounting data for storage on   archival media.  Through the use of the Bulk File MIB, accounting   data from an SNMP MIB can be stored in ASN.1, bulk binary or Bulk   ASCII format, and then subsequently retrieved as required using the   FTP Client MIB.Aboba, et al.                Informational                     [Page 44]

RFC 2975         Introduction to Accounting Management      October 2000   Given access to sufficient non-volatile storage, accounting systems   based on record formats and transfer protocols can avoid loss of data   due to long-duration network partitions, server failures or device   reboots.  Since it is possible for the transfer to be driven from the   collection site, the collector can retry transfers until successful,   or with HTTP may even be able to restart partially completed   transfers.  As a result, file transfer-based systems can be made   highly reliable, and the batching of accounting records makes   possible efficient transfers and application of required security   services with lessened overhead.5.  Summary   As noted previously in this document, accounting applications vary in   their security and reliability requirements.  Some uses such as   capacity planning may only require authentication, integrity and   replay protection, and modest reliability.  Other applications such   as inter-domain usage-sensitive billing may require the highest   degree of security and reliability, since in these cases the transfer   of accounting data will lead directly to the transfer of funds.   Since accounting applications do not have uniform security and   reliability requirements, it is not possible to devise a single   accounting protocol and set of security services that will meet all   needs.  Rather, the goal of accounting management should be to   provide a set of tools that can be used to construct accounting   systems meeting the requirements of an individual application.  As a   result, it is important to analyze a given accounting application to   ensure that the methods chosen meet the security and reliability   requirements of the application.   Based on an analysis of the requirements, it appears that existing   deployed protocols are capable of meeting the requirements for   intra-domain capacity planning and non-usage sensitive billing.  In   these applications efficient transfer of bulk data is useful although   not critical.  Thus, it is possible to use SNMPv3 to satisfy these   requirements, without the NMRG extensions.  These include TCP   transport mapping, sub-tree retrieval, and OID compression.   In inter-domain capacity planning and non-usage sensitive billing,   the security and reliability requirements are greater.  As a result,   no existing deployed protocol satisfies the requirements.  For   example, existing protocols lack data object security support and   extensions to improve scalability of inter-domain authentication are   needed, such as the Kerberos Security Model (KSM) for SNMPv3.Aboba, et al.                Informational                     [Page 45]

RFC 2975         Introduction to Accounting Management      October 2000   For usage sensitive billing, as well as cost allocation and auditing   applications, the reliability requirement are greater.  Here   transport layer reliability is required to provide robustness against   packet loss, as well as application layer acknowledgments to provide   robustness against accounting server failures.  SNMP operations with   the exception of InforRequest provide application layer   acknowledgments, and the TCP transport mapping proposed by NMRG   provides robustness against packet loss.  Inter-domain operation can   benefit from data object security (which no existing protocol   provides) as well as inter-domain security model enhancements (such   as the KSM).   Where high-value sessions are involved, such as in roaming, Mobile   IP, or telephony, it may be necessary to put bounds on processing   delay.  This implies the need to reduce latency.  As a result, the   NMRG extensions are required in time sensitive billing applications,   including TCP transport mapping, get-subtree capabilities and OID   compression.  High reliability is also required in this application,   implying the need for application layer as well as transport layer   acknowledgments.  SNMPv3 with the NMRG extensions and security   scalability improvements such as the KSM can satisfy the requirements   in intra-domain use.   However, in inter-domain use, additional security precautions such as   data object security and receipt support are required.  No existing   protocol can meet these requirements.  A summary is given in the   table on the next page.Aboba, et al.                Informational                     [Page 46]

RFC 2975         Introduction to Accounting Management      October 2000   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                     |                   |   |  Usage          |   Intra-domain      | Inter-domain      |   |                 |                     |                   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                     |                   |   |  Capacity       | SNMPv3 &            | SNMPv3 &<*        |   |  Planning       | RADIUS #%@          |                   |   |                 | TACACS+ @           |                   |   |                 |                     |                   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                     |                   |   |  Non-usage      | SNMPv3 &            | SNMPv3 &<*        |   |  Sensitive      | RADIUS #%@          |                   |   |  Billing        | TACACS+ @           |                   |   |                 |                     |                   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                     |                   |   |  Usage          |                     |                   |   |  Sensitive      |                     |                   |   |  Billing,       | SNMPv3 &>$          | SNMPv3 &<>*$      |   |  Cost           | TACACS+ &$@         |                   |   |  Allocation &   |                     |                   |   |  Auditing       |                     |                   |   |                 |                     |                   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   |                 |                     |                   |   |  Time           |                     |                   |   |  Sensitive      | SNMPv3 &>$          |  No existing      |   |  Billing,       |                     |  protocol         |   |  fraud          |                     |                   |   |  detection,     |                     |                   |   |  roaming        |                     |                   |   |                 |                     |                   |   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+   Key   # = lacks confidentiality support   * = lacks data object security   % = limited robustness against packet loss   & = lacks application layer acknowledgment (e.g. SNMP InformRequest)   $ = requires non-volatile storage   @ = lacks batching support   < = lacks certificate support (KSM, work in progress)   > = lacks support for large packet sizes (TCP transport mapping,       experimental)Aboba, et al.                Informational                     [Page 47]

RFC 2975         Introduction to Accounting Management      October 20006.  Security Considerations   Security issues are discussed throughout this memo.7.  Acknowledgments   The authors would like to thank Bert Wijnen (Lucent), Keith   McCloghrie (Cisco Systems), Jan Melen (Ericsson) and Jarmo Savolainen   (Ericsson) for useful discussions of this problem space.8.  References   [1]  Aboba, B., Lu J., Alsop J., Ding J. and W. Wang, "Review of        Roaming Implementations",RFC 2194, September 1997.   [2]  Aboba, B. and G. Zorn, "Criteria for Evaluating Roaming        Protocols",RFC 2477, January 1999.   [3]  Rigney, C., Rubens, A., Simpson, W. and S. Willens, "Remote        Authentication Dial In User Service (RADIUS)", RFC  2138, April,        1997.   [4]  Rigney, C., "RADIUS  Accounting",RFC 2139, April 1997.   [5]  Shacham, A., Monsour, R., Pereira, R. and M. Thomas, "IP Payload        Compression Protocol (IPComp)",RFC 2393, December 1998.   [6]  Bradner, S., "Key words for use in RFCs to Indicate Requirement        Levels",BCP 14,RFC 2119, March 1997.   [7]  Information Sciences Institute, "Transmission Control Protocol",RFC 793, September 1981.   [8]  Aboba,  B. and  M.  Beadles, "The Network Access Identifier",RFC 2486, January 1999.   [9]  McCloghrie, K., Heinanen, J., Greene, W. and A. Prasad,        "Accounting Information for ATM Networks",RFC 2512, February        1999.   [10] McCloghrie, K., Heinanen, J., Greene, W., and A. Prasad,        "Managed Objects for Controlling the Collection and Storage of        Accounting Information for Connection-Oriented Networks",RFC2513, February 1999.   [11] Frye, R., Levi, D., Routhier, S. and B. Wijnen, "Coexistence        between Version 1, Version 2, and Version 3 of the Internet-        standard Management Framework",RFC 2576, March 2000.Aboba, et al.                Informational                     [Page 48]

RFC 2975         Introduction to Accounting Management      October 2000   [12] Fajman, R., "An Extensible Message Format for Message        Disposition Notifications",RFC 2298, March 1998.   [13] Elkins, M., "MIME  Security with Pretty Good Privacy (PGP)",RFC2015, October 1996.   [14] Vaudreuil, G., "The Multipart/Report Content Type for the        Reporting of  Mail System Administrative Messages",RFC 1892,        January 1996.   [15] Galvin, J., Murphy, S., Crocker, S. and N. Freed, "Security        Multiparts for MIME:  Multi-part/Signed and        Multipart/Encrypted",RFC 1847, October 1995.   [16] Crocker, D., "MIME Encapsulation of EDI Objects",RFC 1767,        March 1995.   [17] Borenstein, N. and N. Freed, "MIME (Multipurpose Internet Mail        Extensions) Part One: Mechanisms for Specifying and Describing        the Format of Internet Message Bodies",RFC 1521, December 1993.   [18] Rose, M.T., The Simple Book, Second Edition, Prentice Hall,        Upper Saddle River, NJ, 1996.   [19] Case, J., Mundy, R., Partain, D. and B. Stewart, "Introduction        to Version 3 of the Internet-standard Network Management        Framework",RFC 2570, April 1999.   [20] Klyne, G.,"Timely Delivery for Facsimile Using Internet Mail",        Work in Progress.   [21] Johnson, H. T., Kaplan, R. S., Relevance Lost: The Rise and Fall        of Management Accounting, Harvard Business School Press, Boston,        Massachusetts, 1987.   [22] Horngren, C. T., Foster, G., Cost Accounting: A Managerial        Emphasis.  Prentice Hall, Englewood Cliffs, New Jersey, 1991.   [23] Kaplan, R. S., Atkinson, Anthony A., Advanced Management        Accounting, Prentice Hall, Englewood Cliffs, New Jersey, 1989.   [24] Cooper, R., Kaplan, R. S., The Design of Cost Management        Systems.  Prentice Hall, Englewood Cliffs, New Jersey, 1991.   [25] Rigney, C., Willats, S. and P. Calhoun, "RADIUS Extensions",RFC2869, June 2000.Aboba, et al.                Informational                     [Page 49]

RFC 2975         Introduction to Accounting Management      October 2000   [26] Stewart, R., et al., "Simple Control Transmission Protocol",RFC2960, October 2000.   [27] Harrington, D., Presuhn, R., and B. Wijnen, "An Architecture for        Describing SNMP Management Frameworks",RFC 2571, April 1999.   [28] Rose, M., and K. McCloghrie, "Structure and Identification of        Management Information for TCP/IP-based Internets", STD 16,RFC1155, May 1990.   [29] Rose, M. and K. McCloghrie, "Concise MIB Definitions", STD 16,RFC 1212, March 1991.   [30] Rose, M., "A Convention for Defining Traps for use with the        SNMP",RFC 1215, March 1991.   [31] McCloghrie, K., Perkins, D. and J. Schoenwaelder, "Structure of        Management Information Version 2 (SMIv2)", STD 58,RFC 2578,        April 1999.   [32] McCloghrie, K., Perkins, D. and J. Schoenwaelder, "Textual        Conventions for SMIv2", STD 58,RFC 2579, April 1999.   [33] McCloghrie, K., Perkins, D. and J. Schoenwaelder, "Conformance        Statements for SMIv2", STD 58,RFC 2580, April 1999.   [34] Case, J., Fedor, M., Schoffstall, M. and J. Davin, "Simple        Network Management Protocol", STD 15,RFC 1157, May 1990.   [35] Case, J., McCloghrie, K., Rose, M. and S. Waldbusser,        "Introduction to Community-based SNMPv2",RFC 1901, January        1996.   [36] Case, J., McCloghrie, K., Rose, M. and S. Waldbusser, "Transport        Mappings for Version 2 of the Simple Network Management Protocol        (SNMPv2)",RFC 1906, January 1996.   [37] Case, J., Harrington D., Presuhn R. and B. Wijnen, "Message        Processing and Dispatching for the Simple Network Management        Protocol (SNMP)",RFC 2572, April 1999.   [38] Blumenthal, U. and B. Wijnen, "User-based Security Model (USM)        for version 3 of the Simple Network Management Protocol        (SNMPv3)",RFC 2574, April 1999.   [39] Levi, D., Meyer, P. and B. Stewart, "SNMPv3 Applications",RFC2573, April 1999.Aboba, et al.                Informational                     [Page 50]

RFC 2975         Introduction to Accounting Management      October 2000   [40] Wijnen, B., Presuhn, R. and K. McCloghrie, "View-based Access        Control Model (VACM) for the Simple Network Management Protocol        (SNMP)",RFC 2575, April 1999.   [41] Case, J., McCloghrie, K., Rose, M. and S. Waldbusser, "Protocol        Operations for Version 2 of the Simple Network Management        Protocol (SNMPv2)",RFC 1905, January 1996.   [42] Tung, B., Neuman, C., Hur, M., Medvinsky, A., Medvinsky, S.,        Wray, J. and J. Trostle, "Public Key Cryptography for Initial        Authentication in Kerberos", Work in Progress.   [43] Tung, B., Ryutov, T., Neuman, C., Tsudik, G., Sommerfeld, B.,        Medvinsky, A. and M. Hur, "Public Key Cryptography for Cross-        Realm Authentication in Kerberos", Work in Progress.   [44] Hornstein, K. and W. Hardaker, "A Kerberos Security Model for        SNMPv3", Work in Progress.   [45] Brownlee, N. and A. Blount, "Accounting Attributes and Record        Formats",RFC 2924, September 2000.   [46] Network Management Research Group Web page,http://www.ibr.cs.tu-bs.de/projects/nmrg/   [47] Schoenwaelder, J.,"SNMP-over-TCP Transport Mapping", Work in        Progress.   [48] Schoenwaelder, J.,"SNMP Payload Compression", Work in Progress.   [49] Sprenkels, R., Martin-Flatin, J.,"Bulk Transfers of MIB Data",        Simple Times,http://www.simple-times.org/pub/simple-times/issues/7-1.html, March 1999.   [50] Thaler, D.,"Get Subtree Retrieval MIB", Work in Progress.   [51] Daniele, M., Wijnen, B., Ellison, M. and D. Francisco, "Agent        Extensibility (AgentX) Protocol Version 1",RFC 2741, January        2000.Aboba, et al.                Informational                     [Page 51]

RFC 2975         Introduction to Accounting Management      October 20009.  Authors' Addresses   Bernard Aboba   Microsoft Corporation   One Microsoft Way   Redmond, WA 98052   USA   Phone: +1 425 936 6605   EMail: bernarda@microsoft.com   Jari Arkko   Oy LM Ericsson Ab   02420 Jorvas   Finland   Phone: +358 40 5079256   EMail: Jari.Arkko@ericsson.com   David Harrington   Cabletron Systems Inc.   P.O.Box 5005   Rochester NH 03867-5005   USA   Phone: +1 603 337 7357   EMail: dbh@cabletron.comAboba, et al.                Informational                     [Page 52]

RFC 2975         Introduction to Accounting Management      October 200010.  Intellectual Property Statement   The IETF takes no position regarding the validity or scope of any   intellectual property or other rights that might be claimed to   pertain to the implementation or use of the technology described in   this document or the extent to which any license under such rights   might or might not be available; neither does it represent that it   has made any effort to identify any such rights.  Information on the   IETF's procedures with respect to rights in standards-track and   standards-related documentation can be found inBCP-11.  Copies of   claims of rights made available for publication and any assurances of   licenses to be made available, or the result of an attempt made to   obtain a general license or permission for the use of such   proprietary rights by implementors or users of this specification can   be obtained from the IETF Secretariat.   The IETF invites any interested party to bring to its attention any   copyrights, patents or patent applications, or other proprietary   rights which may cover technology that may be required to practice   this standard.  Please address the information to the IETF Executive   Director.Aboba, et al.                Informational                     [Page 53]

RFC 2975         Introduction to Accounting Management      October 200011.  Full Copyright Statement   Copyright (C) The Internet Society (2000).  All Rights Reserved.   This document and translations of it may be copied and furnished to   others, and derivative works that comment on or otherwise explain it   or assist in its implementation may be prepared, copied, published   and distributed, in whole or in part, without restriction of any   kind, provided that the above copyright notice and this paragraph are   included on all such copies and derivative works.  However, this   document itself may not be modified in any way, such as by removing   the copyright notice or references to the Internet Society or other   Internet organizations, except as needed for the purpose of   developing Internet standards in which case the procedures for   copyrights defined in the Internet Standards process must be   followed, or as required to translate it into languages other than   English.   The limited permissions granted above are perpetual and will not be   revoked by the Internet Society or its successors or assigns.   This document and the information contained herein is provided on an   "AS IS" basis and THE INTERNET SOCIETY AND THE INTERNET ENGINEERING   TASK FORCE DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING   BUT NOT LIMITED TO ANY WARRANTY THAT THE USE OF THE INFORMATION   HEREIN WILL NOT INFRINGE ANY RIGHTS OR ANY IMPLIED WARRANTIES OF   MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE.Acknowledgement   Funding for the RFC Editor function is currently provided by the   Internet Society.Aboba, et al.                Informational                     [Page 54]

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