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INFORMATIONAL
Network Working Group                                      O. BonaventureRequest for Comments: 2963                                          FUNDPCategory: Informational                                     S. De Cnodder                                                                  Alcatel                                                             October 2000A Rate Adaptive Shaper for Differentiated ServicesStatus 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   This memo describes several Rate Adaptive Shapers (RAS) that can be   used in combination with the single rate Three Color Markers (srTCM)   and the two rate Three Color Marker (trTCM) described inRFC2697 andRFC2698, respectively.  These RAS improve the performance of TCP when   a TCM is used at the ingress of a diffserv network by reducing the   burstiness of the traffic.  With TCP traffic, this reduction of the   burstiness is accompanied by a reduction of the number of marked   packets and by an improved TCP goodput.  The proposed RAS can be used   at the ingress of Diffserv networks providing the Assured Forwarding   Per Hop Behavior (AF PHB).  They are especially useful when a TCM is   used to mark traffic composed of a small number of TCP connections.1. Introduction   In DiffServ networks [RFC2475], the incoming data traffic, with the   AF PHB in particular, could be subject to marking where the purpose   of this marking is to provide a low drop probability to a minimum   part of the traffic whereas the excess will have a larger drop   probability.  Such markers are mainly token bucket based such as the   single rate Three Color Marker (srTCM) and two rate Three Color   Marker (trTCM) described in [RFC2697] and [RFC2698], respectively.   Similar markers were proposed for ATM networks and simulations have   shown that their performance with TCP traffic was not always   satisfactory and several researchers have shown that these   performance problems could be solved in two ways:Bonaventure & De Cnodder     Informational                      [Page 1]

RFC 2963                 A Rate Adaptive Shaper             October 2000   1. increasing the burst size, i.e. increasing the Committed Burst      Size (CBS) and the Peak Burst Size (PBS) in case of the trTCM, or   2. shaping the traffic such that a part of the burstiness is removed.   The first solution has as major disadvantage that the traffic sent to   the network can be very bursty and thus engineering the network to   provide a low packet loss ratio can become difficult.  To efficiently   support bursty traffic, additional resources such as buffer space are   needed.  Conversely, the major disadvantage of shaping is that the   traffic encounters additional delay in the shaper's buffer.   In this document, we propose two shapers that can reduce the   burstiness of the traffic upstream of a TCM.  By reducing the   burstiness of the traffic, the adaptive shapers increase the   percentage of packets marked as green by the TCM and thus the overall   goodput of the users attached to such a shaper.   Such rate adaptive shapers will probably be useful at the edge of the   network (i.e. inside access routers or even network adapters).  The   simulation results in [Cnodder] show that these shapers are   particularly useful when a small number of TCP connections are   processed by a TCM.   The structure of this document follows the structure proposed in   [Nichols].  We first describe two types of rate adaptive shapers in   section two.  These shapers correspond to respectively the srTCM and   the trTCM.  Insection 3, we describe an extension to the simple   shapers that can provide a better performance. We briefly discuss   simulation results in the appendix.2. Description of the rate adaptive shapers2.1. Rate adaptive shaper   The rate adaptive shaper is based on a similar shaper proposed in   [Bonaventure] to improve the performance of TCP with the Guaranteed   Frame Rate [TM41] service category in ATM networks.  Another type of   rate adaptive shaper suitable for differentiated services was briefly   discussed in [Azeem].  A RAS will typically be used as shown in   figure 1 where the meter and the marker are the TCMs proposed in   [RFC2697] and [RFC2698].Bonaventure & De Cnodder     Informational                      [Page 2]

RFC 2963                 A Rate Adaptive Shaper             October 2000                                     Result                                  +----------+                                  |          |                                  |          V                 +--------+   +-------+   +--------+      Incoming   |        |   |       |   |        |   Outgoing      Packet  ==>|  RAS   |==>| Meter |==>| Marker |==>Packet      Stream     |        |   |       |   |        |   Stream                 +--------+   +-------+   +--------+                        Figure 1. Rate adaptive shaper   The presentation of the rate adaptive shapers in Figure 1 is somewhat   different as described in [RFC2475] where the shaper is placed after   the meter.  The main objective of the shaper is to produce at its   output a traffic that is less bursty than the input traffic, but the   shaper avoids to discard packets in contrast with classical token   bucket based shapers.  The shaper itself consists of a tail-drop FIFO   queue which is emptied at a variable rate.  The shaping rate, i.e.   the rate at which the queue is emptied, is a function of the   occupancy of the FIFO queue.  If the queue occupancy increases, the   shaping rate will also increase in order to prevent loss and too   large delays through the shaper.  The shaping rate is also a function   of the average rate of the incoming traffic.  The shaper was designed   to be used in conjunction with meters such as the TCMs proposed in   [RFC2697] and [RFC2698].   There are two types of rate adaptive shapers.  The single rate rate   adaptive shaper (srRAS) will typically be used upstream of a srTCM   while the two rates rate adaptive shaper (trRAS) will usually be used   upstream of a trTCM.2.2. Configuration of the srRAS   The srRAS is configured by specifying four parameters: the Committed   Information Rate (CIR), the Maximum Information Rate (MIR) and two   buffer thresholds: CIR_th (Committed Information Rate threshold) and   MIR_th (Maximum Information Rate threshold).  The CIR shall be   specified in bytes per second and MUST be configurable.  The MIR   shall be specified in the same unit as the CIR and SHOULD be   configurable.  To achieve a good performance, the CIR of a srRAS will   usually be set to the same value as the CIR of the downstream srTCM.   A typical value for the MIR would be the line rate of the output link   of the shaper.  When the CIR and optionally the MIR are configured,   the srRAS MUST ensure that the following relation is verified:Bonaventure & De Cnodder     Informational                      [Page 3]

RFC 2963                 A Rate Adaptive Shaper             October 2000               CIR <= MIR <= line rate   The two buffer thresholds, CIR_th and MIR_th shall be specified in   bytes and SHOULD be configurable.  If these thresholds are   configured, then the srRAS MUST ensure that the following relation   holds:               CIR_th <= MIR_th <= buffer size of the shaper   The chosen values for CIR_th and MIR_th will usually depend on the   values chosen for CBS and PBS in the downstream srTCM.  However, this   dependency does not need to be standardized.2.3. Behavior of the srRAS   The output rate of the shaper is based on two factors.  The first one   is the (long term) average rate of the incoming traffic.  This   average rate can be computed by several means.  For example, the   function proposed in [Stoica] can be used (i.e. EARnew = [(1-exp(-   T/K))*L/T] + exp(-T/K)*EARold where EARold is the previous value of   the Estimated Average Rate, EARnew is the updated value, K a   constant, L the size of the arriving packet and T the amount of time   since the arrival of the previous packet).  Other averaging functions   can be used as well.   The second factor is the instantaneous occupancy of the FIFO buffer   of the shaper.  When the buffer occupancy is below CIR_th, the output   rate of the shaper is set to the maximum of the estimated average   rate (EAR(t)) and the CIR.  This ensures that the shaper buffer will   be emptied at least at a rate equal to CIR.  When the buffer   occupancy increases above CIR_th, the output rate of the shaper is   computed as the maximum of the EAR(t) and a linear function F of the   buffer occupancy for which F(CIR_th)=CIR and F(MIR_th)=MIR.  When the   buffer occupancy reaches the MIR_th threshold, the output rate of the   shaper is set to the maximum information rate.  The computation of   the shaping rate is illustrated in figure 2.  We expect that real   implementations will only use an approximate function to compute the   shaping rate.Bonaventure & De Cnodder     Informational                      [Page 4]

RFC 2963                 A Rate Adaptive Shaper             October 2000                   ^     Shaping rate  |                   |                   |              MIR  |                      =========                   |                    //                   |                  //           EAR(t)  |----------------//                   |              //                   |            //             CIR   |============                   |                   |                   |                   |------------+---------+----------------------->                             CIR_th      MIR_th Buffer occupancy              Figure 2. Computation of shaping rate for srRAS2.4. Configuration of the trRAS   The trRAS is configured by specifying six parameters: the Committed   Information Rate (CIR), the Peak Information Rate (PIR), the Maximum   Information Rate (MIR) and three buffer thresholds: CIR_th, PIR_th   and MIR_th.  The CIR shall be specified in bytes per second and MUST   be configurable.  To achieve a good performance, the CIR of a trRAS   will usually be set at the same value as the CIR of the downstream   trTCM.  The PIR shall be specified in the same unit as the CIR and   MUST be configurable.  To achieve a good performance, the PIR of a   trRAS will usually be set at the same value as the PIR of the   downstream trRAS.  The MIR SHOULD be configurable and shall be   specified in the same unit as the CIR.  A typical value for the MIR   will be the line rate of the output link of the shaper.  When the   values for CIR, PIR and optionally MIR are configured, the trRAS MUST   ensure that the following relation is verified:               CIR <= PIR <= MIR <= line rate   The three buffer thresholds, CIR_th, PIR_th and MIR_th shall be   specified in bytes and SHOULD be configurable.  If these thresholds   are configured, then the trRAS MUST ensure that the following   relation is verified:               CIR_th <= PIR_th <= MIR_th <= buffer size of the shaper   The CIR_th, PIR_th and MIR_th will usually depend on the values   chosen for the CBS and the PBS in the downstream trTCM.  However,   this dependency does not need to be standardized.Bonaventure & De Cnodder     Informational                      [Page 5]

RFC 2963                 A Rate Adaptive Shaper             October 20002.5. Behavior of the trRAS   The output rate of the trRAS is based on two factors.  The first is   the (long term) average rate of the incoming traffic.  This average   rate can be computed as for the srRAS.   The second factor is the instantaneous occupancy of the FIFO buffer   of the shaper.  When the buffer occupancy is below CIR_th, the output   rate of the shaper is set to the maximum of the estimated average   rate (EAR(t)) and the CIR.  This ensures that the shaper will always   send traffic at least at the CIR.  When the buffer occupancy   increases above CIR_th, the output rate of the shaper is computed as   the maximum of the EAR(t) and a piecewise linear function F of the   buffer occupancy.  This piecewise function can be defined as follows.   The first piece is between zero and CIR_th where F is equal to CIR.   This means that when the buffer occupancy is below a certain   threshold CIR_th, the shaping rate is at least CIR.  The second piece   is between CIR_th and PIR_th where F increases linearly from CIR to   PIR.  The third part is from PIR_th to MIR_th where F increases   linearly from PIR to the MIR and finally when the buffer occupancy is   above MIR_th, the shaping rate remains constant at the MIR.  The   computation of the shaping rate is illustrated in figure 3.  We   expect that real implementations will use an approximation of the   function shown in this figure to compute the shaping rate.                 ^   Shaping rate  |                 |           MIR   |                               ======                 |                            ///                 |                         ///           PIR   |                      ///                 |                    //                 |                  //         EAR(t)  |----------------//                 |              //                 |            //           CIR   |============                 |                 |                 |                 |------------+---------+--------+-------------------->                         CIR_th      PIR_th    MIR_th  Buffer occupancy            Figure 3. Computation of shaping rate for trRASBonaventure & De Cnodder     Informational                      [Page 6]

RFC 2963                 A Rate Adaptive Shaper             October 20003. Description of the green RAS.3.1. The green rate adaptive shapers   The srRAS and the trRAS described in the previous section are not   aware of the status of the meter.  This entails that a RAS could   unnecessarily delay a packet although there are sufficient tokens   available to color the packet green.  This delay could mean that TCP   takes more time to increase its congestion window and this may lower   the performance with TCP traffic.  The green RAS shown in figure 4   solves this problem by coupling the shaper with the meter.                         Status       Result                      +----------+ +----------+                      |          | |          |                      V          | |          V                 +--------+   +-------+   +--------+      Incoming   | green  |   |       |   |        |   Outgoing      Packet  ==>|  RAS   |==>| Meter |==>| Marker |==>Packet      Stream     |        |   |       |   |        |   Stream                 +--------+   +-------+   +--------+                            Figure 4. green RAS   The two rate adaptive shapers described insection 2 calculate a   shaping rate, which is defined as the maximum of the estimated   average incoming data rate and some function of the buffer occupancy.   Using this shaping rate, the RAS computes the time schedule at which   the packet at the head of the queue of the shaper is to be released.   The main idea of the green RAS is to couple the shaper with the   downstream meter so that the green RAS knows at what time the packet   at the head of its queue would be accepted as green by the meter.  If   this time instant is earlier than the release time computed from the   current shaping rate, then the packet can be released at this time   instant.  Otherwise, the packet at the head of the queue of the green   RAS will be released at the time instant calculated from the current   shaping rate.3.2. Configuration of the Green single rate Rate Adaptive Shaper     (GsrRAS)   The G-srRAS must be configured in the same way as the srRAS (seesection 2.2).Bonaventure & De Cnodder     Informational                      [Page 7]

RFC 2963                 A Rate Adaptive Shaper             October 20003.3. Behavior of the G-srRAS   First of all, the shaping rate of the G-srRAS is calculated in the   same way as for the srRAS.  With the srRAS, this shaping rate   determines a time schedule, T1, at which the packet at the head of   the queue is to be released from the shaper.   A second time schedule, T2, is calculated as the earliest time   instant at which the packet at the head of the shaper's queue would   be colored as green by the downstream srTCM.  Suppose that a packet   of size B bytes is at the head of the shaper and that CIR is the   Committed Information Rate of the srTCM in bytes per second.  If we   denote the current time by t and by Tc(t) the amount of green tokens   in the token bucket of the srTCM at time t, then T2 is equal to   max(t, t+(B-Tc(t))/CIR).  If B is larger than CBS, the Committed   Burst Size of the srTCM, then T2 is set to infinity.   When a packet arrives at the head of the queue of the shaper, it will   leave this queue not sooner than min(T1, T2) from the shaper.3.4 Configuration of the Green two rates Rate Adaptive Shaper (G-trRAS)   The G-trRAS must be configured in the same way as the trRAS (seesection 2.4).3.5. Behavior of the G-trRAS   First of all, the shaping rate of the G-trRAS is calculated in the   same way as for the trRAS.  With the trRAS, this shaping rate   determines a time schedule, T1, at which the packet at the head of   the queue is to be released from the shaper.   A second time schedule, T2, is calculated as the earliest time   instant at which the packet at the head of the shaper's queue would   be colored as green by the downstream trTCM.  Suppose that a packet   of size B bytes is at the head of the shaper and that CIR is the   Committed Information Rate of the srTCM in bytes per second.  If we   denote the current time by t and by Tc(t) (resp. Tp(t)) the amount of   green (resp. yellow) tokens in the token bucket of the trTCM at time   t, then T2 is equal to max(t, t+(B-Tc(t))/CIR,t+(B-Tp(t))/PIR).  If B   is larger than CBS, the committed burst size, or PBS, the peak burst   size, of the srTCM, then T2 is set to infinity.   When a packet arrives at the head of the queue of the shaper, it will   leave this queue not sooner than min(T1, T2) from the shaper.Bonaventure & De Cnodder     Informational                      [Page 8]

RFC 2963                 A Rate Adaptive Shaper             October 20004. Assumption   The shapers discussed in this document assume that the Internet   traffic is dominated by protocols such as TCP that react   appropriately to congestion by decreasing their transmission rate.   The proposed shapers do not provide a performance gain if the traffic   is composed of protocols that do not react to congestion by   decreasing their transmission rate.5. Example services   The shapers discussed in this document can be used where the TCMs   proposed in [RFC2697] and [RFC2698] are used.  In fact, simulations   briefly discussed inAppendix A show that the performance of TCP can   be improved when a rate adaptive shaper is used upstream of a TCM.   We expect such rate adaptive shapers to be particularly useful at the   edge of the network, for example inside (small) access routers or   even network adapters.6. The rate adaptive shaper combined with other markers   This document explains how the idea of a rate adaptive shaper can be   combined with the srTCM and the trTCM.  This resulted in the srRAS   and the G-srRAS for the srTCM and in the trRAS and the G-trRAS for   the trTCM.  Similar adaptive shapers could be developed to support   other traffic markers such as the Time Sliding Window Three Color   Marker (TSWTCM) [Fang].  However, the exact definition of such new   adaptive shapers and their performance is outside the scope of this   document.7. Security Considerations   The shapers described in this document have no known security   concerns.8. Intellectual Property Rights   The IETF has been notified of intellectual property rights claimed in   regard to some or all of the specification contained in this   document.  For more information consult the online list of claimed   rights.9. Acknowledgement   We would like to thank Emmanuel Desmet for his comments.Bonaventure & De Cnodder     Informational                      [Page 9]

RFC 2963                 A Rate Adaptive Shaper             October 200010. References   [Azeem]       Azeem, F., Rao, A., Lu, X. and S. Kalyanaraman, "TCP-                 Friendly Traffic Conditioners for Differentiated                 Services", Work in Progress.   [RFC2475]     Blake S., Black, D., Carlson, M., Davies, E., Wang, Z.                 and W. Weiss, "An Architecture for Differentiated                 Services",RFC 2475, December 1998.   [Bonaventure] Bonaventure O., "Integration of ATM under TCP/IP to                 provide services with a minimum guaranteed bandwidth",                 Ph. D. thesis, University of Liege, Belgium, September                 1998.   [Clark]       Clark D. and Fang, W., "Explicit Allocation of Best-                 Effort Packet Delivery Service", IEEE/ACM Trans. on                 Networking, Vol. 6, No. 4, August 1998.   [Cnodder]     De Cnodder S., "Rate Adaptive Shapers for Data Traffic                 in DiffServ Networks", NetWorld+Interop 2000 Engineers                 Conference, Las Vegas, Nevada, USA, May 10-11, 2000.   [Fang]        Fang W., Seddigh N. and B. Nandy, "A Time Sliding                 Window Three Colour Marker (TSWTCM)",RFC 2859, June                 2000.   [Floyd]       Floyd S. and V. Jacobson, "Random Early Detection                 Gateways for Congestion Avoidance", IEEE/ACM                 Transactions on Networking, August 1993.   [RFC2697]     Heinanen J. and R. Guerin, "A Single Rate Three Color                 Marker",RFC 2697, September 1999.   [RFC2698]     Heinanen J. and R. Guerin, "A Two Rate Three Color                 Marker",RFC 2698, September 1999.   [RFC2597]     Heinanen J., Baker F., Weiss W. and J. Wroclawski,                 "Assured Forwarding PHB Group",RFC 2597, June 1999.   [Nichols]     Nichols K. and B. Carpenter, "Format for Diffserv                 Working Group Traffic Conditioner Drafts", Work in                 Progress.Bonaventure & De Cnodder     Informational                     [Page 10]

RFC 2963                 A Rate Adaptive Shaper             October 2000   [Stoica]      Stoica I., Shenker S. and H. Zhang, "Core-stateless                 fair queueuing: achieving approximately fair bandwidth                 allocations in high speed networks", ACM SIGCOMM98, pp.                 118-130, Sept. 1998   [TM41]        ATM Forum, Traffic Management Specification, verion                 4.1, 1999Bonaventure & De Cnodder     Informational                     [Page 11]

RFC 2963                 A Rate Adaptive Shaper             October 2000AppendixA. Simulation results   We briefly discuss simulations showing the benefits of the proposed   shapers in simple network environments. Additional simulation results   may be found in [Cnodder].A.1 description of the model   To evaluate the rate adaptive shaper through simulations, we use the   simple network model depicted in Figure A.1.  In this network, we   consider that a backbone network is used to provide a LAN   Interconnection service to ten pairs of LANs.  Each LAN corresponds   to an uncongested switched 10 Mbps LAN with ten workstations attached   to a customer router (C1-C10 in figure A.1).  The delay on the LAN   links is set to 1 msec. The MSS size of the workstations is set to   1460 bytes.  The workstations on the left hand side of the figure   send traffic to companion workstations located on the right hand side   of the figure.  All traffic from the LAN attached to customer router   C1 is sent to the LAN attached to customer router C1'.  There are ten   workstations on each LAN and each workstation implements SACK-TCP   with a maximum window size of 64 KBytes.Bonaventure & De Cnodder     Informational                     [Page 12]

RFC 2963                 A Rate Adaptive Shaper             October 2000           2.5 msec, 34 Mbps                      2.5 msec, 34 Mbps          <-------------->                      <-------------->     \+---+                                                     +---+/     -| C1|--------------+                       +--------------|C1'|-     /+---+              |                       |              +---+\     \+---+              |                       |              +---+/     -| C2|------------+ |                       | +------------|C2'|-     /+---+            | |                       | |            +---+\     \+---+            | |                       | |            +---+/     -| C3|----------+ | |                       | | +----------|C3'|-     /+---+          | | |                       | | |          +---+\     \+---+          | | |                       | | |          +---+/     -| C4|--------+ +-+----------+     +----------+-+ +--------|C4'|-     /+---+        |   |          |     |          |   |        +---+\     \+---+        +---|          |     |          |---+        +---+/     -| C5|------------|   ER1    |-----|   ER2    |------------|C5'|-     /+---+        +---|          |     |          |---+        +---+\     \+---+        |   |          |     |          |   |        +---+/     -| C6|--------+   +----------+     +----------+   +--------|C6'|-     /+---+            ||||                     ||||            +---+\     \+---+            ||||      <------->      ||||            +---+/     -| C7|------------+|||       70 Mbps       |||+------------|C7'|-     /+---+             |||       10 msec       |||             +---+\     \+---+             |||                     |||             +---+/     -| C8|-------------+||                     ||+-------------|C8'|-     /+---+              ||                     ||              +---+\     \+---+              ||                     ||              +---+/     -| C9|--------------+|                     |+--------------|C9'|-     /+---+               |                     |               +---+\     \+---+               |                     |               +----+/     -|C10|---------------+                     +---------------|C10'|-     /+---+                                                     +----+\                     Figure A.1. the simulation model.   The customer routers are connected with 34 Mbps links to the backbone   network which is, in our case, composed of a single bottleneck 70   Mbps link between the edge routers ER1 and ER2.  The delay on all the   customer-edge 34 Mbps links has been set to 2.5 msec to model a MAN   or small WAN environment.  These links and the customer routers are   not a bottleneck in our environment and no losses occurs inside the   edge routers.  The customer routers are equipped with a trTCM   [Heinanen2] and mark the incoming traffic.  The parameters of the   trTCM are shown in table A.1.Bonaventure & De Cnodder     Informational                     [Page 13]

RFC 2963                 A Rate Adaptive Shaper             October 2000        Table A.1: configurations of the trTCMs        Router          CIR               PIR             Line Rate        C1              2 Mbps            4 Mbps          34 Mbps        C2              4 Mbps            8 Mbps          34 Mbps        C3              6 Mbps           12 Mbps          34 Mbps        C4              8 Mbps           16 Mbps          34 Mbps        C5             10 Mbps           20 Mbps          34 Mbps        C6              2 Mbps            4 Mbps          34 Mbps        C7              4 Mbps            8 Mbps          34 Mbps        C8              6 Mbps           12 Mbps          34 Mbps        C9              8 Mbps           16 Mbps          34 Mbps        C10            10 Mbps           20 Mbps          34 Mbps   All customer routers are equipped with a trTCM where the CIR are 2   Mbps for router C1 and C6, 4 Mbps for C2 and C7, 6 Mbps for C3 and   C8, 8 Mbps for C4 and C9 and 10 Mbps for C5 and C10.  Routers C6-C10   also contain a trRAS in addition to the trTCM while routers C1-C5   only contain a trTCM.  In all simulations, the PIR is always twice as   large as the CIR.  Also the PBS is the double of the CBS.  The CBS   will be varied in the different simulation runs.   The edge routers, ER1 and ER2, are connected with a 70 Mbps link   which is the bottleneck link in our environment.  These two routers   implement the RIO algorithm [Clark] that we have extended to support   three drop priorities instead of two.  The thresholds of the   parameters are 100 and 200 packets (minimum and maximum threshold,   respectively) for the red packets, 200 and 400 packets for the yellow   packets and 400 and 800 for the green packets.  These thresholds are   reasonable since there are 100 TCP connections crossing each edge   router.  The parameter maxp of RIO for green, yellow and red are   respectively set to 0.02, 0.05, and 0.1.  The weight to calculate the   average queue length which is used by RED or RIO is set to 0.002   [Floyd].   The simulated time is set to 102 seconds where the first two seconds   are not used to gather TCP statistics (the so-called warm-up time)   such as goodput.A.2 Simulation results for the trRAS   For our first simulations, we consider that routers C1-C5 only   utilize a trTCM while routers C6-C10 utilize a rate adaptive shaper   in conjunction with a trTCM. All routers use a CBS of 3 KBytes.  In   table A.2, we show the total throughput achieved by the workstations   attached to each LAN as well as the total throughput for the green   and the yellow packets as a function of the CIR of the trTCM used on   the customer router attached to this LAN.  The throughput of the redBonaventure & De Cnodder     Informational                     [Page 14]

RFC 2963                 A Rate Adaptive Shaper             October 2000   packets is equal to the difference between the total traffic and the   green and the yellow traffic.  In table A.3, we show the total   throughput achieved by the workstations attached to customer routers   with a rate adaptive shaper.        Table A.2: throughput in Mbps for the unshaped traffic.                      green           yellow          total        2Mbps [C1]    1.10            0.93            2.25        4Mbps [C2]    2.57            1.80            4.55        6Mbps [C3]    4.10            2.12            6.39        8Mbps [C4]    5.88            2.32            8.33        10Mbps [C5]   7.57            2.37            10.0        Table A.3: throughput in Mbps for the adaptively shaped        traffic.                            green           yellow          total        2Mbps [C6]    2.00            1.69            3.71        4Mbps [C7]    3.97            2.34            6.33        6Mbps [C8]    5.93            2.23            8.17        8Mbps [C9]    7.84            2.28            10.1        10Mbps [C10]  9.77            2.14            11.9   This first simulation shows clearly that the workstations attached to   an edge router with a rate adaptive shaper have a clear advantage,   from a performance point of view, with respect to workstations   attached to an edge router with only a trTCM.  The performance   improvement is the result of the higher proportion of packets marked   as green by the edge routers when the rate adaptive shaper is used.   To evaluate the impact of the CBS on the TCP goodput, we did   additional simulations were we varied the CBS of all customer   routers.   Table A.4 shows the total goodput for workstations attached to,   respectively, routers C1 (trTCM with 2 Mbps CIR, no adaptive   shaping), C6 (trRAS with 2 Mbps CIR and adaptive shaping), C3 (trTCM   with 6 Mbps CIR, no adaptive shaping), and C8 (trRAS with 6 Mbps CIR   and adaptive shaping) for various values of the CBS.  From this   table, it is clear that the rate adaptive shapers provide a   performance benefit when the CBS is small.  With a very large CBS,   the performance decreases when the shaper is in use.  However, a CBS   of a few hundred KBytes is probably too large in many environments.Bonaventure & De Cnodder     Informational                     [Page 15]

RFC 2963                 A Rate Adaptive Shaper             October 2000      Table A.4: goodput in Mbps (link rate is 70 Mbps) versus CBS      in KBytes.      CBS  2_Mbps_unsh     2_Mbps_sh      6_Mbps_unsh    6_Mbps_sh      3       1.88            3.49          5.91           7.77      10      2.97            2.91          6.76           7.08      25      3.14            2.78          7.07           6.73      50      3.12            2.67          7.20           6.64      75      3.18            2.56          7.08           6.58      100     3.20            2.64          7.00           6.62      150     3.21            2.54          7.11           6.52      200     3.26            2.57          7.07           6.53      300     3.19            2.53          7.13           6.49      400     3.13            2.48          7.18           6.43A.3 Simulation results for the Green trRAS   We use the same scenario as in A.2 but now we use the Green trRAS   (G-trRAS).   Table A.5 and Table A.6 show the results of the same scenario as for   Table A.2 and Table A.3 but the shaper is now the G-trRAS.  We see   that the shaped traffic performs again much better, also compared to   the previous case (i.e. where the trRAS was used).  This is because   the amount of yellow traffic increases with the expense of a slight   decrease in the amount of green traffic.  This can be explained by   the fact that the G-trRAS introduces some burstiness.      Table A.5: throughput in Mbps for the unshaped traffic.                    green           yellow          total      2Mbps [C1]    1.10            0.95            2.26      4Mbps [C2]    2.41            1.66            4.24      6Mbps [C3]    3.94            1.97            6.07      8Mbps [C4]    5.72            2.13            7.96      10Mbps [C5]   7.25            2.29            9.64      Table A.6: throughput in Mbps for the adaptively shaped      traffic.                    green           yellow          total      2Mbps [C6]    1.92            1.75            3.77      4Mbps [C7]    3.79            3.24            7.05      6Mbps [C8]    5.35            3.62            8.97      8Mbps [C9]    6.96            3.48            10.4      10Mbps [C10]  8.69            3.06            11.7   The impact of the CBS is shown in Table A.7 which is the same   scenario as Table A.4 with the only difference that the shaper is now   the G-trRAS.  We see that the shaped traffic performs much better   than the unshaped traffic when the CBS is small.  When the CBS isBonaventure & De Cnodder     Informational                     [Page 16]

RFC 2963                 A Rate Adaptive Shaper             October 2000   large, the shaped and unshaped traffic performs more or less the   same.  This is in contrast with the trRAS, where the performance of   the shaped traffic was slightly worse in case of a large CBS.   Table A.7: goodput in Mbps (link rate is 70 Mbps) versus CBS   in KBytes.      CBS  2_Mbps_unsh     2_Mbps_sh      6_Mbps_unsh    6_Mbps_sh      3       1.90            3.44          5.62           8.44      10      2.95            3.30          6.70           7.20      25      2.98            3.01          7.03           6.93      50      3.06            2.85          6.81           6.84      75      3.08            2.80          6.87           6.96      100     2.99            2.78          6.85           6.88      150     2.98            2.70          6.80           6.81      200     2.96            2.70          6.82           6.97      300     2.94            2.70          6.83           6.86      400     2.86            2.62          6.83           6.84A.4 Conclusion simulations   From these simulations, we see that the shaped traffic has much   higher throughput compared to the unshaped traffic when the CBS was   small.  When the CBS is large, the shaped traffic performs slightly   less than the unshaped traffic due to the delay in the shaper.  The   G-trRAS solves this problem.  Additional simulation results may be   found in [Cnodder]Bonaventure & De Cnodder     Informational                     [Page 17]

RFC 2963                 A Rate Adaptive Shaper             October 2000Authors' Addresses   Olivier Bonaventure   Infonet research group   Institut d'Informatique (CS Dept)   Facultes Universitaires Notre-Dame de la Paix   Rue Grandgagnage 21, B-5000 Namur, Belgium.   EMail: Olivier.Bonaventure@info.fundp.ac.be   URL:http://www.infonet.fundp.ac.be   Stefaan De Cnodder   Alcatel Network Strategy Group   Fr. Wellesplein 1, B-2018 Antwerpen, Belgium.   Phone:  32-3-240-8515   Fax:    32-3-240-9932   EMail:  stefaan.de_cnodder@alcatel.beBonaventure & De Cnodder     Informational                     [Page 18]

RFC 2963                 A Rate Adaptive Shaper             October 2000Full 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.Bonaventure & De Cnodder     Informational                     [Page 19]

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