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Internet-DraftALTO-PVMarch 2022
Gao, et al.Expires 21 September 2022[Page]
Workgroup:
ALTO
Internet-Draft:
draft-ietf-alto-path-vector-25
Published:
Intended Status:
Experimental
Expires:
Authors:
K. Gao
Sichuan University
Y. Lee
Samsung
S. Randriamasy
Nokia Bell Labs
Y.R. Yang
Yale University
J. Zhang
Tongji University

An ALTO Extension: Path Vector

Abstract

This document is an extension to the base Application-Layer Traffic Optimization(ALTO) protocol. It extends the ALTO Cost Map and ALTO Property Map services sothat an application can decide which endpoint(s) to connect based on not onlynumerical/ordinal cost values but also fine-grained abstract information of thepaths. This is useful for applications whose performance is impacted byspecified components of a network on the end-to-end paths, e.g., they may inferthat several paths share common links and prevent traffic bottlenecks byavoiding such paths. This extension introduces a new abstraction called AbstractNetwork Element (ANE) to represent these components and encodes a network pathas a vector of ANEs. Thus, it provides a more complete but still abstract graphrepresentation of the underlying network(s) for informed traffic optimizationamong endpoints.

Status of This Memo

This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.

Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is athttps://datatracker.ietf.org/drafts/current/.

Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."

This Internet-Draft will expire on 21 September 2022.

Copyright Notice

Copyright (c) 2022 IETF Trust and the persons identified as the document authors. All rights reserved.

This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (https://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Revised BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Revised BSD License.

Table of Contents

1.Introduction

Network performance metrics are crucial to assess the Quality of Experience(QoE) of applications. The ALTO protocol allows Internet Service Providers(ISPs) to provide guidance, such as topological distance between different endhosts, to overlay applications. Thus, the overlay applications can potentiallyimprove the perceived QoE by better orchestrating their traffic to utilize theresources in the underlying network infrastructure.

Existing ALTOCost Map (Section 11.2.3 of[RFC7285]) and Endpoint Cost Service (Section 11.5of[RFC7285]) provide only cost information on an end-to-end path defined byits <source, destination> endpoints: The base protocol[RFC7285] allows theservices to expose the topological distances of end-to-end paths, while variousextensions have been proposed to extend the capability of these services, e.g.,to express other performance metrics[I-D.ietf-alto-performance-metrics], toquery multiple costs simultaneously[RFC8189], and to obtain the time-varyingvalues[RFC8896].

While the existing extensions are sufficient for many overlay applications,the QoE of some overlay applications depends not only on the costinformation of end-to-end paths, but also on particular components of a networkon the paths and their properties. For example, job completion time, which is animportant QoE metric for a large-scale data analytics application, is impactedby shared bottleneck links inside the carrier network as link capacity mayimpact the rate of data input/output to the job. We refer to such components ofa network as Abstract Network Elements (ANE).

Predicting such information can be very complex without the help of ISPs, forexample,[BOXOPT] has shown that finding the optimal bandwidth reservation formultiple flows can be NP-hard without further information than whether areservation succeeds. With proper guidance from the ISP, an overlay applicationmay be able to schedule its traffic for better QoE. In the meantime, it may behelpful as well for ISPs if applications could avoid using bottlenecks orchallenging the network with poorly scheduled traffic.

Despite the claimed benefits, ISPs are not likely to expose raw details on theirnetwork paths: first for the sake of topology hiding requirement, second becauseit may increase volume and computation overhead, and last because applicationsdo not necessarily need all the network path details and are likely not able tounderstand them.

Therefore, it is beneficial for both ISPs and applications if an ALTO serverprovides ALTO clients with an "abstract network state" that provides thenecessary information to applications, while hiding the network complexity andconfidential information. An "abstract network state" is a selected set ofabstract representations of Abstract Network Elements traversed by the pathsbetween <source, destination> pairs combined with properties of these AbstractNetwork Elements that are relevant to the overlay applications' QoE. Both anapplication via its ALTO client and the ISP via the ALTO server can achievebetter confidentiality and resource utilization by appropriately abstractingrelevant Abstract Network Elements. Server scalability can also be improved bycombining Abstract Network Elements and their properties in a single response.

This document extends[RFC7285] to allow an ALTO server to convey "abstractnetwork state", for paths defined by their <source, destination> pairs. To thisend, it introduces a new cost type called "Path Vector" following the costmetric registration specified in[RFC7285] and the updated cost moderegistration specified in[I-D.bw-alto-cost-mode]. A Path Vector is an arrayof identifiers that identifies an Abstract Network Element, which can beassociated with various properties. The associations between ANEs and theirproperties are encoded in an ALTO information resource called Unified PropertyMap, which is specified in[I-D.ietf-alto-unified-props-new].

For better confidentiality, this document aims to minimize information exposureof an ALTO server when providing Path Vector service. In particular, thisdocument enables and recommends that first ANEs are constructed on demand, andsecond an ANE is only associated with properties that are requested by an ALTOclient. A Path Vector response involves two ALTO Maps: the Cost Map thatcontains the Path Vector results and the up-to-date Unified Property Map thatcontains the properties requested for these ANEs. To enforce consistency andimprove server scalability, this document uses the "multipart/related" contenttype defined in[RFC2387] to return the two maps in a single response.

As a single ISP may not have the knowledge of the full Internet paths betweenarbitrary endpoints, this document is mainly applicable 1) when there is asingle ISP between the requested source and destination PIDs or endpoints, forexample, ISP-hosted CDN/edge, tenant interconnection in a single public cloudplatform, etc.; or 2) when the Path Vectors are generated from end-to-endmeasurement data.

2.Requirements Languages

The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD","SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and "OPTIONAL" in thisdocument are to be interpreted as described in BCP 14[RFC2119][RFC8174]when, and only when, they appear in all capitals, as shown here.

When the words appear in lower case, they are to be interpreted with theirnatural language meanings.

3.Terminology

This document extends the ALTO base protocol[RFC7285] and the UnifiedProperty Map extension[I-D.ietf-alto-unified-props-new]. In addition tothe terms defined in these documents, this document also uses the followingadditional terms:

Abstract Network Element (ANE):

An abstract representation for a component in a network that handles datapackets and whose properties can potentially have an impact on the end-to-endperformance of traffic. An ANE can be a physical device such as a router, alink or an interface, or an aggregation of devices such as a subnetwork or adata center.

The definition of Abstract Network Element is similar to Network Elementdefined in[RFC2216] in the sense that they both provide an abstractrepresentation of specific components of a network. However, they havedifferent criteria on how these particular components are selected.Specifically, a Network Element requires the components to be capable ofexercising QoS control, while Abstract Network Element only requires thecomponents to have an impact on the end-to-end performance.

ANE Name:

A string that uniquely identifies an ANE in a specific scope. An ANEcan be constructed either statically in advance or on demand based on therequested information. Thus, different ANEs may only be valid within aparticular scope, either ephemeral or persistent. Within each scope, an ANE isuniquely identified by an ANE Name, as defined inSection 6.1. Note thatan ALTO client must not assume ANEs in different scopes but with the same ANEName refer to the same component(s) of the network.

Path Vector:

Path Vector, or ANE Path Vector, refers to a JSON array of ANE Names. It is ageneralization of BGP path vector. While standard BGP path vector (Section5.1.2 of[RFC4271]) specifies a sequence of autonomous systems for adestination IP prefix, the Path Vector defined in this extension specifies asequence of ANEs either for a source Provider-Defined Identifier (PID) and adestination PID as in the CostMapData (11.2.3.6 in[RFC7285]), or for asource endpoint and a destination endpoint as in the EndpointCostMapDataobject (Section 11.5.1.6 of[RFC7285]).

Path Vector resource:

An ALTO information resource (Section 8.1 of[RFC7285]) which supports theextension defined in this document.

Path Vector cost type:

A special cost type, which is specified inSection 6.5. When this costtype is present in an IRD entry, it indicates that the information resource isa Path Vector resource. When this cost type is present in a Filtered Cost Maprequest or an Endpoint Cost Service request, it indicates each cost value mustbe interpreted as a Path Vector.

Path Vector request:

The POST message sent to an ALTO Path Vector resource.

Path Vector response:

A Path Vector response refers to the multipart/related message returned by aPath Vector resource.

4.Requirements and Use Cases

4.1.Design Requirements

This section gives an illustrative example of how an overlay application canbenefit from the extension defined in this document.

Assume that an application has control over a set of flows, which may go throughshared links/nodes and share bottlenecks. The application seeks to schedule thetraffic among multiple flows to get better performance. The constraints offeasible rate allocations of those flows will benefit the scheduling. However,Cost Maps as defined in[RFC7285] can not reveal such information.

Specifically, consider a network as shown inFigure 1. The network has 7switches (sw1 to sw7) forming a dumb-bell topology. Switches "sw1", "sw2", "sw3"and "sw4" are access switches, and sw5-sw7 form the backbone. End hosts eh1 toeh4 are connected to access switches sw1 to sw4 respectively. Assume that thebandwidth of link eh1 -> sw1 and link sw1 -> sw5 is 150 Mbps, and the bandwidthof the other links is 100 Mbps.

                              +-----+                              |     |                            --+ sw6 +--                           /  |     |  \     PID1 +-----+         /   +-----+   \          +-----+  PID2     eh1__|     |_       /               \     ____|     |__eh2192.0.2.2 | sw1 | \   +--|--+         +--|--+ /    | sw2 | 192.0.2.3          +-----+  \  |     |         |     |/     +-----+                    \_| sw5 +---------+ sw7 |     PID3 +-----+   / |     |         |     |\     +-----+  PID4     eh3__|     |__/  +-----+         +-----+ \____|     |__eh4192.0.2.4 | sw3 |                                  | sw4 | 192.0.2.5          +-----+                                  +-----+bw(eh1--sw1) = bw(sw1--sw5) = 150 Mbpsbw(eh2--sw2) = bw(eh3--sw3) = bw(eh4--sw4) = 100 Mbpsbw(sw1--sw5) = bw(sw3--sw5) = bw(sw2--sw7) = bw(sw4--sw7) = 100 Mbpsbw(sw5--sw6) = bw(sw5--sw7) = bw(sw6--sw7) = 100 Mbps
Figure 1:Raw Network Topology

The base ALTO topology abstraction of the network is shown inFigure 2.Assume the cost map returns an hypothetical cost type representing the availablebandwidth between a source and a destination.

                          +----------------------+                 {eh1}    |                      |     {eh2}                 PID1     |                      |     PID2                   +------+                      +------+                          |                      |                          |                      |                 {eh3}    |                      |     {eh4}                 PID3     |                      |     PID4                   +------+                      +------+                          |                      |                          +----------------------+
Figure 2:Base Topology Abstraction

Now assume the application wants to maximize the total rate of the traffic amonga set of <source, destination> pairs, say "eh1 -> eh2" and "eh1 -> eh4". Let "x"denote the transmission rate of "eh1 -> eh2" and "y" denote the rate of "eh1 ->eh4". The objective function is

    max(x + y).

With the ALTO Cost Map, the cost between PID1 and PID2 and between PID1 and PID4 willboth be 100 Mbps. The client can get a capacity region of

    x <= 100 Mbps,    y <= 100 Mbps.

With this information, the client may mistakenly think it can achieve a maximumtotal rate of 200 Mbps. However, this rate is infeasible, as there are only twopotential cases:

  • Case 1: "eh1 -> eh2" and "eh1 -> eh4" take different path segments from "sw5" to "sw7". Forexample, if "eh1 -> eh2" uses path "eh1 -> sw1 -> sw5 -> sw6 -> sw7 -> sw2 -> eh2"and "eh1 -> eh4" uses path "eh1 -> sw1 -> sw5 -> sw7 -> sw4 -> eh4", then the sharedbottleneck links are "eh1 -> sw1" and "sw1 -> sw5". In this case, the capacityregion is:

        x     <= 100 Mbps    y     <= 100 Mbps    x + y <= 150 Mbps

    and the real optimal total rate is 150 Mbps.

  • Case 2: "eh1 -> eh2" and "eh1 -> eh4" take the same path segment from "sw5" to "sw7".For example, if "eh1 -> eh2" uses path "eh1 -> sw1 -> sw5 -> sw7 -> sw2 -> eh2"and "eh1 -> eh4" also uses path "eh1 -> sw1 -> sw5 -> sw7 -> sw4 -> eh4", then theshared bottleneck link is "sw5 -> sw7". In this case, the capacity region is:

        x     <= 100 Mbps    y     <= 100 Mbps    x + y <= 100 Mbps

    and the real optimal total rate is 100 Mbps.

Clearly, with more accurate and fine-grained information, the application cangain a better prediction of its traffic and may orchestrate its resourcesaccordingly. However, to provide such information, the network needs to exposeabstract information beyond the simple cost map abstraction. In particular:

  • The ALTO server must expose abstract information about the network paths that aretraversed by the traffic between a source and a destination beyond a simplenumerical value, which allows the overlay application to distinguish betweenCases 1 and 2 and to compute the optimal total rate accordingly.
  • The ALTO server must allow the client to distinguish the common ANE shared by"eh1 -> eh2" and "eh1 -> eh4", e.g., "eh1 - sw1" and "sw1 - sw5" in Case 1.
  • The ALTO server must expose abstract information on the properties of theANEs used by "eh1 -> eh2" and "eh1 -> eh4". For example, an ALTO server caneither expose the available bandwidth between "eh1 - sw1", "sw1 - sw5", "sw5 -sw7", "sw5 - sw6", "sw6 - sw7", "sw7 - sw2", "sw7 - sw4", "sw2 - eh2", "sw4 -eh4" in Case 1, or expose 3 abstract elements "A", "B" and "C", whichrepresent the linear constraints that define the same capacity region in Case1.

In general, we can conclude that to support the multiple flow schedulinguse case, the ALTO framework must be extended to satisfy the followingadditional requirements:

AR1:

An ALTO server must provide the ANEs that are important to assess the QoE ofthe overlay application on the path of a <source, destination> pair.

AR2:

An ALTO server must provide information to identify how ANEs are shared on thepaths of different <source, destination> pairs.

AR3:

An ALTO server must provide information on the properties that are importantto assess the QoE of the application for ANEs.

The extension defined in this document specifies a solution to expose suchabstract information.

4.2.Sample Use Cases

While the multiple flow scheduling problem is used to help identify theadditional requirements, the extension defined in this document can be appliedto a wide range of applications. This section highlights some use cases that arereported.

4.2.1.Exposing Network Bottlenecks

An important use case of the Path Vector extension is to expose networkbottlenecks. Applications which need to perform large scale data transfers canbenefit from being aware of the resource constraints exposed by this extensioneven if they have different objectives. One such example is the Worldwide LHCComputing Grid (WLCG), the largest example of a distributed computationcollaboration in the research and education world.

Figure 3 illustrates an example of using ALTO Path Vector as an interfacebetween the job optimizer for a data analytics system and the network manager.In particular, we assume the objective of the job optimizer is to minimize thejob completion time.

In such a setting, the network-aware job optimizer (e.g.,[CLARINET]) takes aquery and generates multiple query execution plans (QEP). It can encode the QEPsas Path Vector requests that are send to an ALTO server. The ALTO server obtainsthe routing information for the flows in a QEP and finds links, routers, ormiddleboxes (e.g., a stateful firewall) that can potentially become bottlenecksof the QEP (e.g., see[NOVA] and[G2] for mechanisms to identify bottlenecklinks under different settings). The resource constraint information is encodedin a Path Vector response and returned to the ALTO client.

With the network resource constraints, the job optimizer may choose the QEP withthe optimal job completion time to be executed. It must be noted that the ALTOframework itself does not offer the capability to control the traffic. However,certain network managers may offer ways to enforce resource guarantees, such ason-demand tunnels (e.g.,[SWAN]), demand vector (e.g.,[HUG],[UNICORN]),etc. The traffic control interfaces and mechanisms are out of the scope of thisdocument.

                                  Data schema      Queries                                       |             |                                       \             /    +-------------+                   +-----------------+    | ALTO Client | <===============> |  Job Optimizer  |    +-------------+                   +-----------------+PV       |   ^ PV                                    |Request  |   | Response                              |         |   |                  On-demand resource   |(Data    |   | (Network         allocation, demand   |Transfer |   | Resource         vector, etc.         |Intents) |   | Constraints)     (Non-ALTO interfaces)|         v   |                                       v    +-------------+                   +-----------------+    | ALTO Server | <===============> | Network Manager |    +-------------+                   +-----------------+                                        /      |      \                                        |      |      |                                       WAN    DC1    DC2
Figure 3:Example Use Case for Data Analytics

Another example is as illustrated inFigure 4. Consider a network consistingof multiple sites and a non-blocking core network, i.e., the links in the corenetwork have sufficient bandwidth that they will not become the bottleneck ofthe data transfers.

               On-going transfers   New transfer requests                             \----\        |                                  |        |                                  v        v   +-------------+               +---------------+   | ALTO Client | <===========> | Data Transfer |   +-------------+               |   Scheduler   |     ^ |      ^ | PV request     +---------------+     | |      | \--------------\     | |      \--------------\ |     | v       PV response   | v   +-------------+          +-------------+   | ALTO Server |          | ALTO Server |   +-------------+          +-------------+         ||                       ||     +---------+              +---------+     | Network |              | Network |     | Manager |              | Manager |     +---------+              +---------+      .                           .     .             _~_  __         . . .    .             (   )(  )             .___  ~v~v~       /--(         )------------(   ) (     )-----/    (       )            (     )  ~w~w~            ~^~^~^~              ~v~v~ Site 1        Non-blocking Core        Site 2
Figure 4:Example Use Case for Cross-site Bottleneck Discovery
Site 1:[c] . ........................................> [d]  +---+ 10 Gbps +---+ 10 Gbps +----+ 50 Gbps  | A |---------| B |---------| GW |--------- Core  +---+         +---+         +----+ ................... .                 . .                 v[a]               [b]Site 2:[d] <........................................ [c]  +---+ 5 Gbps +---+ 10 Gbps +----+ 20 Gbps  | X |--------| Y |---------| GW |--------- Core  +---+        +---+         +----+             ....................             .                  .             .                  v            [e]                [f]
Figure 5:Example: Three Flows in Two Sites

With the Path Vector extension, a site can reveal the bottlenecks inside its ownnetwork with necessary information (such as link capacities) to the ALTO client,instead of providing the full topology and routing information, or no bottleneckinformation at all. The bottleneck information can be used to analyze the impactof adding/removing data transfer flows, e.g., using the[G2] framework. Forexample, assume hosts "a", "b", "c" are in site 1 and hosts "d", "e", "f" are insite 2, and there are 3 flows in two sites: "a -> b", "c -> d", "e -> f". Forthese flows, site 1 returns:

a: { b: [ane1] },c: { d: [ane1, ane2, ane3] }ane1: bw = 10 Gbps (link: A->B)ane2: bw = 10 Gbps (link: B->GW)ane3: bw = 50 Gbps (link: GW->Core)

and site 2 returns:

c: { d: [anei, aneii, aneiii] }e: { f: [aneiv] }anei: bw = 5 Gbps (link Y->X)aneii: bw = 10 Gbps (link GW->Y)aneiii: bw = 20 Gbps (link Core->GW)aneiv: bw = 10 Gbps (link Y->GW)

With the information, the data transfer scheduler can use algorithms such as thetheory on bottleneck structure[G2] to predict the potential throughput of theflows.

4.2.2.Resource Exposure for CDN and Service Edge

A growing trend in today's applications (2021) is to bring storage and computationcloser to the end users for better QoE, such as Content Delivery Network (CDN),AR/VR, and cloud gaming, as reported in various documents (e.g.,[SEREDGE] and[MOWIE]). Internet Service Providers may deploy multiple layers of CDN caches,or more generally service edges, with different latency and available resourcesincluding number of CPU cores, memory, and storage.

For example,Figure 6 illustrates a typical edge-cloud scenario where memoryis measured in Gigabytes (G) and storage is measured in Terabytes (T). The"on-premise" edge nodes are closest to the end hosts and have the smallestlatency, and the site-radio edge node and access central office (CO) have largerlatency but more available resources.

      +-------------+              +----------------------+      | ALTO Client | <==========> | Application Provider |      +-------------+              +----------------------+PV         |   ^ PV                      |Request    |   | Response                | Resource allocation,           |   |                         | service establishment,(End hosts |   | (Edge nodes             | etc.and cloud  |   | and metrics)            |servers)   |   |                         |           v   |                         v      +-------------+             +---------------------+      | ALTO Server | <=========> | Cloud-Edge Provider |      +-------------+             +---------------------+       ____________________________________/\___________      /                                                 \      |           (((o                                  |                     |                    /_\             _~_            __   __  a               (/\_/\)          (   )          (  )~(  )_   \      /------(      )---------(     )----\\---(          )   _|_   /        (______)         (___)          (          )   |_| -/         Site-radio     Access CO       (__________)  /---\          Edge Node 1         |             Cloud DCOn premise                           |                           /---------/           (((o           /              |          / Site-radio  /_\        /Edge Node 2(/\_/\)-----/          /(_____)\   ___   /         \   ---b--|_| -/           \--|_|--c  /---\               /---\On premise          On premise
Figure 6:Example Use Case for Service Edge Exposure
a: { b: [ane1, ane2, ane3, ane4, ane5],     c: [ane1, ane2, ane3, ane4, ane6],     DC: [ane1, ane2, ane3] }b: { c: [ane5, ane4, ane6], DC: [ane5, ane4, ane3] }ane1: latency=5ms cpu=2 memory=8G storage=10T(on premise, a)ane2: latency=20ms cpu=4 memory=8G storage=10T(Site-radio Edge Node 1)ane3: latency=100ms cpu=8 memory=128G storage=100T(Access CO)ane4: latency=20ms cpu=4 memory=8G storage=10T(Site-radio Edge Node 2)ane5: latency=5ms cpu=2 memory=8G storage=10T(on premise, b)ane6: latency=5ms cpu=2 memory=8G storage=10T(on premise, c)
Figure 7:Example Service Edge Query Results

With the extension defined in this document, an ALTO server can selectivelyreveal the CDNs and service edges that reside along the paths between differentend hosts and/or the cloud servers, together with their properties such ascapabilities (e.g., storage, GPU) and available Service Level Agreement (SLA)plans. SeeFigure 7 for an example where the query is made for sources[a, b] and destinations [b, c, DC]. Here each ANE represents a service edge andthe properties include access latency, available resources, etc. Note theproperties here are only used for illustration purposes and are not part of thisextension.

With the service edge information, an ALTO client may better conduct CDN requestrouting or offload functionalities from the user equipment to the service edge,with considerations on customized quality of experience.

5.Path Vector Extension: Overview

This section provides a non-normative overview of the Path Vector extensiondefined in this document. It is assumed that the readers are familiar with boththe base protocol[RFC7285] and the Unified Property Map extension[I-D.ietf-alto-unified-props-new].

To satisfy the additional requirements listed in Section 4.1, this extension:

  1. introduces the concept of Abstract Network Element (ANE) as the abstractionof components in a network whose properties may have an impact on theend-to-end performance of the traffic handled by those components,
  2. extends the Cost Map and Endpoint Cost Service to convey the ANEs traversedby the path of a <source, destination> pair as Path Vectors, and
  3. uses the Unified Property Map to convey the association between theANEs and their properties.

Thus, an ALTO client can learn about the ANEs that are important to assess theQoE of different <source, destination> pairs by investigating the correspondingPath Vector value (AR1), identify common ANEs if an ANE appears in the PathVectors of multiple <source, destination> pairs (AR2), and retrieve theproperties of the ANEs by searching the Unified Property Map (AR3).

5.1.Abstract Network Element (ANE)

This extension introduces ANE as an indirect and network-agnostic way to specifya component or an aggregation of components of a network whose properties havean impact on the end-to-end performance for application traffic betweenendpoints.

ANEs allow ALTO servers to focus on common properties of different types ofnetwork components. For example, the throughput of a flow can be constrained bydifferent components in a network: the capacity of a physical link, the maximumthroughput of a firewall, the reserved bandwidth of an MPLS tunnel, etc. See theexample below, assume the throughput of the firewall is 100 Mbps and thecapacity for link (A, B) is also 100 Mbps, they result in the same constraint onthe total throughput of f1 and f2. Thus, they are identical when treated as anANE.

   f1 |      ^                  f1      |      |                 ----------------->    +----------+                +---+     +---+    | Firewall |                | A |-----| B |    +----------+                +---+     +---+      |      |                 ----------------->      v      | f2               f2

When an ANE is defined by an ALTO server, it is assigned an identifier by theALTO server, i.e., a string of type ANEName as specified inSection 6.1,and a set of associated properties.

5.1.1.ANE Entity Domain

In this extension, the associations between ANE and the properties are conveyedin a Unified Property Map. Thus, ANEs must constitute an entity domain (Section5.1 of[I-D.ietf-alto-unified-props-new]), and each ANE property must be anentity property (Section 5.2 of[I-D.ietf-alto-unified-props-new]).

Specifically, this document defines a new entity domain called "ane" asspecified inSection 6.2 and defines two initial properties for the ANEentity domain.

5.1.2.Ephemeral and Persistent ANEs

By design, ANEs are ephemeral and not to be used in further requests to otherALTO resources. More precisely, the corresponding ANE names are no longer validbeyond the scope of a Path Vector response or the incremental update streamfor a Path Vector request. Compared with globally unique ANE names, ephemeralANE has several benefits including better privacy of the ISP's internalstructure and more flexible ANE computation.

For example, an ALTO server may define an ANE for each aggregated bottlenecklink between the sources and destinations specified in the request. For requestswith different sources and destinations, the bottlenecks may be different butcan safely reuse the same ANE names. The client can still adjust its trafficbased on the information but is difficult to infer the underlying topology withmultiple queries.

However, sometimes an ISP may intend to selectively reveal some "persistent"network components which, opposite to being ephemeral, have a longer life cycle.For example, an ALTO server may define an ANE for each service edge cluster.Once a client chooses to use a service edge, e.g., by deploying someuser-defined functions, it may want to stick to the service edge to avoid thecomplexity of state transition or synchronization, and continuously query theproperties of the edge cluster.

This document provides a mechanism to expose such network components aspersistent ANEs. A persistent ANE has a persistent ID that is registered in aProperty Map, together with their properties. SeeSection 6.2.4 andSection 6.4.2 for more detailed instructions on how to identifyephemeral ANEs and persistent ANEs.

5.1.3.Property Filtering

Resource-constrained ALTO clients (see Section 4.1.2 of[RFC7285]) may benefitfrom the filtering of Path Vector query results at the ALTO server, as an ALTOclient may only require a subset of the available properties.

Specifically, the available properties for a given resource are announced in theInformation Resource Directory as a new capability called "ane-property-names".The properties selected by a client as being of interest are specified in thesubsequent Path Vector queries using the filter called 'ane-property-names'. Theresponse includes and only includes the selected properties for the ANEs in theresponse.

The "ane-property-names" capability for Cost Map and for Endpoint Cost Serviceis specified inSection 7.2.4 andSection 7.3.4 respectively. The"ane-property-names" filter for Cost Map and Endpoint Cost Service is specifiedinSection 7.2.3 andSection 7.3.3 accordingly.

5.2.Path Vector Cost Type

For an ALTO client to correctly interpret the Path Vector, this extensionspecifies a new cost type called the Path Vector cost type.

The Path Vector cost type must convey both the interpretation and semantics inthe "cost-mode" and "cost-metric" respectively. Unfortunately, a single"cost-mode" value cannot fully specify the interpretation of a Path Vector,which is a compound data type. For example, in programming languages such as C++where there existed a JSON array type named JSONArray, a Path Vector will havethe type ofJSONArray<ANEName>.

Instead of extending the "type system" of ALTO, this document takes a simpleand backward compatible approach. Specifically, the "cost-mode" of the PathVector cost type is "array", which indicates the value is a JSON array. Then, anALTO client must check the value of the "cost-metric". If the value is"ane-path", it means that the JSON array should be further interpreted as a pathof ANENames.

The Path Vector cost type is specified inSection 6.5.

5.3.Multipart Path Vector Response

For a basic ALTO information resource, a response contains only one type ofALTO resources, e.g., Network Map, Cost Map, or Property Map. Thus, only oneround of communication is required: An ALTO client sends a request to an ALTOserver, and the ALTO server returns a response, as shown inFigure 8.

  ALTO client                              ALTO server       |-------------- Request ---------------->|       |<------------- Response ----------------|
Figure 8:A Typical ALTO Request and Response

The extension defined in this document, on the other hand, involves two types ofinformation resources: Path Vectors conveyed in an InfoResourceCostMap (definedin Section 11.2.3.6 of[RFC7285]) or an InfoResourceEndpointCostMap (definedin Section 11.5.1.6 of[RFC7285]), and ANE properties conveyed in anInfoResourceProperties (defined in Section 7.6 of[I-D.ietf-alto-unified-props-new]).

Instead of two consecutive message exchanges, the extension defined in thisdocument enforces one round of communication. Specifically, the ALTO client mustinclude the source and destination pairs and the requested ANE properties in asingle request, and the ALTO server must return a single response containingboth the Path Vectors and properties associated with the ANEs in the PathVectors, as shown inFigure 9. Since the two parts are bundled together in oneresponse message, their orders are interchangeable. SeeSection 7.2.6 andSection 7.3.6 for details.

  ALTO client                              ALTO server       |------------- PV Request -------------->|       |<----- PV Response (Cost Map Part) -----|       |<--- PV Response (Property Map Part) ---|
Figure 9:The Path Vector Extension Request and Response

This design is based on the following considerations:

  1. ANEs may be constructed on demand, and potentially based on therequested properties (SeeSection 5.1 for more details). If sources anddestinations are not in the same request as the properties, an ALTO servereither cannot construct ANEs on-demand, or must wait until both requests arereceived.
  2. As ANEs may be constructed on demand, mappings of each ANE to its underlyingnetwork devices and resources can be specific to the request. In orderto respond to the Property Map request correctly, an ALTO server must storethe mapping of each Path Vector request until the client fully retrieves theproperty information. The "stateful" behavior may substantially harm theserver scalability and potentially lead to Denial-of-Service attacks.

One approach to realize the one-round communication is to define a new mediatype to contain both objects, but this violates modular design. This documentfollows the standard-conforming usage of "multipart/related" media type definedin[RFC2387] to elegantly combine the objects. Path Vectors are encoded in anInfoResourceCostMap or an InfoResourceEndpointCostMap, and the Property Map isencoded in an InfoResourceProperties. They are encapsulated as parts of amultipart message. The modular composition allows ALTO servers and clients toreuse the data models of the existing information resources. Specifically, thisdocument addresses the following practical issues using "multipart/related".

5.3.1.Identifying the Media Type of the Root Object

ALTO uses media type to indicate the type of an entry in the InformationResource Directory (IRD) (e.g., "application/alto-costmap+json" for Cost Mapand "application/alto-endpointcost+json" for Endpoint Cost Service). Simplyputting "multipart/related" as the media type, however, makes it impossiblefor an ALTO client to identify the type of service provided by relatedentries.

To address this issue, this document uses the "type" parameter to indicate theroot object of a multipart/related message. For a Cost Map resource, the"media-type" field in the IRD entry is "multipart/related" with the parameter"type=application/alto-costmap+json"; for an Endpoint Cost Service, theparameter is "type=application/alto-endpointcost+json".

5.3.2.References to Part Messages

As the response of a Path Vector resource is a multipart message with twodifferent parts, it is important that each part can be uniquely identified.Following the designs of[RFC8895], this extension requires that an ALTOserver assigns a unique identifier to each part of the multipart responsemessage. This identifier, referred to as a Part Resource ID (SeeSection 6.6 for details), is present in the part message's "Content-ID"header. By concatenating the Part Resource ID to the identifier of the PathVector request, an ALTO server/client can uniquely identify the Path Vector Partor the Property Map part.

6.Specification: Basic Data Types

6.1.ANE Name

An ANE Name is encoded as a JSON string with the same format as that of the typePIDName (Section 10.1 of[RFC7285]).

The type ANEName is used in this document to indicate a string of thisformat.

6.2.ANE Entity Domain

The ANE entity domain associates property values with the Abstract NetworkElements in a Property Map. Accordingly, the ANE entity domain always depends ona Property Map.

It must be noted that the term "domain" here does not refer to a network domain.Rather, it is inherited from the "entity domain" defined in Sec 3.2 in[I-D.ietf-alto-unified-props-new] that represents the set of valid entitiesdefined by an ALTO information resource (called the defining informationresource).

6.2.1.Entity Domain Type

The Entity Domain Type is "ane".

6.2.2.Domain-Specific Entity Identifier

The entity identifiers are the ANE Names in the associated Property Map.

6.2.3.Hierarchy and Inheritance

There is no hierarchy or inheritance for properties associated with ANEs.

6.2.4.Media Type of Defining Resource

The defining resource for entity domain type "ane" MUST be a Property Map, i.e.,the media type of defining resources is:

application/alto-propmap+json

Specifically, for ephemeral ANEs that appear in a Path Vector response, theirentity domain names MUST be exactly ".ane" and the defining resource of theseANEs is the Property Map part of the multipart response. Meanwhile, for anypersistent ANE whose defining resource is a Property Map resource, its entitydomain name MUST have the format of "PROPMAP.ane" where PROPMAP is the resourceID of the defining resource. Persistent entities are "persistent" becausestandalone queries can be made by an ALTO client to their defining resource(s)when the connection to the Path Vector service is closed.

For example, the defining resource of an ephemeral ANE whose entity identifieris ".ane:NET1" is the Property Map part that contains this identifier. Thedefining resource of a persistent ANE whose entity identifier is"dc-props.ane:DC1" is the Property Map with the resource ID "dc-props".

6.3.ANE Property Name

An ANE Property Name is encoded as a JSON string with the same format as that ofEntity Property Name (Section 5.2.2 of[I-D.ietf-alto-unified-props-new]).

6.4.Initial ANE Property Types

Two initial ANE property types are specified, "max-reservable-bandwidth" and"persistent-entity-id".

Note that these property types do not depend on any information resource. Assuch, the EntityPropertyName MUST only have the EntityPropertyType part.

6.4.1.Maximum Reservable Bandwidth

The maximum reservable bandwidth property ("max-reservable-bandwidth") standsfor the maximum bandwidth that can be reserved for all the traffic thattraverses an ANE. The value MUST be encoded as a non-negative numerical costvalue as defined in Section 6.1.2.1 of[RFC7285] and the unit is bit persecond (bps). If this property is requested by the ALTO client but not presentfor an ANE in the server response, it MUST be interpreted as that the propertyis not defined for the ANE.

This property can be offered in a setting where the ALTO server is part of anetwork system that provides on-demand resource allocation and the ALTO clientis part of a user application. One existing example is[NOVA]: the ALTO serveris part of an SDN controller and exposes a list of traversed network elementsand associated link bandwidth to the client. The encoding in[NOVA] differsfrom the Path Vector response defined in this document that the Path Vector partand Property Map part are put in the same JSON object.

In such a framework, the ALTO server exposes resource (e.g., reservable bandwidth)availability information to the ALTO client. How the client makes resourcerequests based on the information and how the resource allocation is achievedrespectively depend on interfaces between the management system and the users ora higher-layer protocol (e.g., SDN network intents or MPLS tunnels), which areout of the scope of this document.

6.4.2.Persistent Entity ID

The persistent entity ID property is the entity identifier of the persistentANE which an ephemeral ANE presents (SeeSection 5.1.2 for details). The value ofthis property is encoded with the format EntityID defined in Section 5.1.3 of[I-D.ietf-alto-unified-props-new].

In this format, the entity ID combines:

  • a defining information resource for the ANE on which a"persistent-entity-id" is queried, which is the Property Map resourcedefining the ANE as a persistent entity, together with the properties;
  • the persistent name of the ANE in that Property Map.

With this format, the client has all the needed information for furtherstandalone query properties on the persistent ANE.

6.4.3.Examples

To illustrate the use of "max-reservable-bandwidth", consider the followingnetwork with 5 nodes. Assume the client wants to query the maximum reservablebandwidth from H1 to H2. An ALTO server may split the network into two ANEs:"ane1" that represents the subnetwork with routers A, B, and C, and "ane2" thatrepresents the subnetwork with routers B, D and E. The maximum reservablebandwidth for "ane1" is 15 Mbps (using path A->C->B) and the maximum reservablebandwidth for "ane2" is 20 Mbps (using path B->D->E).

                     20 Mbps  20 Mbps          10 Mbps +---+   +---+    +---+             /----| B |---| D |----| E |---- H2       +---+/     +---+   +---+    +---+H1 ----| A | 15 Mbps|       +---+\     +---+             \----| C |          15 Mbps +---+

To illustrate the use of "persistent-entity-id", consider the scenario inFigure 6. As the life cycle of service edges are typically long, they maycontain information that is not specific to the query. Such information can bestored in an individual unified property map and later be accessed by an ALTOclient.

For example, "ane1" inFigure 7 represents the on-premise service edgeclosest to host a. Assume the properties of the service edges are provided ina unified property map called "se-props" and the ID of the on-premise serviceedge is "9a0b55f7-7442-4d56-8a2c-b4cc6a8e3aa1", the "persistent-entity-id" of"ane1" will be "se-props.ane:9a0b55f7-7442-4d56-8a2c-b4cc6a8e3aa1". With thispersistent entity ID, an ALTO client may send queries to the "se-props" resourcewith the entity ID ".ane:9a0b55f7-7442-4d56-8a2c-b4cc6a8e3aa1".

6.5.Path Vector Cost Type

This document defines a new cost type, which is referred to as the Path Vectorcost type. An ALTO server MUST offer this cost type if it supports the extensiondefined in this document.

6.5.1.Cost Metric: ane-path

The cost metric "ane-path" indicates the value of such a cost type conveys anarray of ANE names, where each ANE name uniquely represents an ANE traversed bytraffic from a source to a destination.

An ALTO client MUST interpret the Path Vector as if the traffic between a sourceand a destination logically traverses the ANEs in the same order as they appearin the Path Vector.

When the Path Vector procedures defined in this document are in use, an ALTOserver using the "ane-path" cost metric and the "array" cost mode (seeSection 6.5.2) MUST return as the cost value a JSON array of ANEName and theclient MUST also check that each element contained in the array is an ANEName(Section 6.1). Otherwise, the client MUST discard the response and SHOULDfollow the instructions in Section 8.3.4.3 of[RFC7285] to handle the error.

6.5.2.Cost Mode: array

The cost mode "array" indicates that every cost value in the response body of a(Filtered) Cost Map or an Endpoint Cost Service MUST be interpreted as a JSONarray object. While this cost mode can be applied to all cost metrics,additional specifications will be needed to clarify the semantics of the arraycost mode when combined with cost metrics other than 'ane-path'.

6.6.Part Resource ID and Part Content ID

A Part Resource ID is encoded as a JSON string with the same format as that of thetype ResourceID (Section 10.2 of[RFC7285]).

Even though the client-id assigned to a Path Vector request and the PartResource ID MAY contain up to 64 characters by their own definition, theirconcatenation (seeSection 5.3.2) MUST also conform to the same lengthconstraint. The same requirement applies to the resource ID of the Path Vectorresource, too. Thus, it is RECOMMENDED to limit the length of resource ID andclient ID related to a Path Vector resource to 31 characters.

A Part Content ID conforms to the format of msg-id as specified in[RFC2387] and[RFC5322]. Specifically, it has the following format:

"<" PART-RESOURCE-ID "@" DOMAIN-NAME ">"

PART-RESOURCE-ID:

PART-RESOURCE-ID has the same format as the Part Resource ID. It is used toidentify whether a part message is a Path Vector or a Property Map.

DOMAIN-NAME:

DOMAIN-NAME has the same format as dot-atom-text specified in Section 3.2.3 of[RFC5322]. It must be the domain name of the ALTO server.

7.Specification: Service Extensions

7.1.Notations

This document uses the same syntax and notations as introduced in Section 8.2 ofRFC 7285[RFC7285] to specify the extensions to existing ALTO resources andservices.

7.2.Multipart Filtered Cost Map for Path Vector

This document introduces a new ALTO resource called multipart Filtered Cost Mapresource, which allows an ALTO server to provide other ALTO resources associatedwith the Cost Map resource in the same response.

7.2.1.Media Type

The media type of the multipart Filtered Cost Map resource is"multipart/related" and the required "type" parameter MUST havea value of "application/alto-costmap+json".

7.2.2.HTTP Method

The multipart Filtered Cost Map is requested using the HTTP POST method.

7.2.3.Accept Input Parameters

The input parameters of the multipart Filtered Cost Map are supplied in the bodyof an HTTP POST request. This document extends the input parameters to aFiltered Cost Map, which is defined as a JSON object of typeReqFilteredCostMap in Section 4.1.2 of RFC 8189[RFC8189], with a dataformat indicated by the media type "application/alto-costmapfilter+json", whichis a JSON object of type PVReqFilteredCostMap:

object {  [EntityPropertyName ane-property-names<0..*>;]} PVReqFilteredCostMap : ReqFilteredCostMap;

with fields:

ane-property-names:

A list of selected ANE properties to be included in the response. Eachproperty in this list MUST match one of the supported ANE properties indicatedin the resource's "ane-property-names" capability (Section 7.2.4). If thefield is not present, it MUST be interpreted as an empty list.

Example: Consider the network inFigure 1. If an ALTO client wants toquery the "max-reservable-bandwidth" between PID1 and PID2, it can submit thefollowing request.

   POST /costmap/pv HTTP/1.1   Host: alto.example.com   Accept: multipart/related;type=application/alto-costmap+json,           application/alto-error+json   Content-Length: 201   Content-Type: application/alto-costmapfilter+json   {     "cost-type": {       "cost-mode": "array",       "cost-metric": "ane-path"     },     "pids": {       "srcs": [ "PID1" ],       "dsts": [ "PID2" ]     },     "ane-property-names": [ "max-reservable-bandwidth" ]   }

7.2.4.Capabilities

The multipart Filtered Cost Map resource extends the capabilities definedin Section 4.1.1 of[RFC8189]. The capabilities are defined by a JSONobject of type PVFilteredCostMapCapabilities:

object {  [EntityPropertyName ane-property-names<0..*>;]} PVFilteredCostMapCapabilities : FilteredCostMapCapabilities;

with fields:

ane-property-names:

Defines a list of ANE properties that can be returned. If the field is notpresent, it MUST be interpreted as an empty list, indicating the ALTO servercannot provide any ANE property.

This extension also introduces additional restrictions for the following fields:

cost-type-names:

The "cost-type-names" field MUST include the Path Vector cost type,unless explicitly documented by a future extension. This also implies that thePath Vector cost type MUST be defined in the "cost-types" of the InformationResource Directory's "meta" field.

cost-constraints:

If the "cost-type-names" field includes the Path Vector cost type,"cost-constraints" field MUST be "false" or not present unless specificallyinstructed by a future document.

testable-cost-type-names (Section 4.1.1 of[RFC8189]):

If the "cost-type-names" field includes the Path Vector cost type and the"testable-cost-type-names" field is present, the Path Vector cost type MUSTNOT be included in the "testable-cost-type-names" field unless specificallyinstructed by a future document.

7.2.5.Uses

This member MUST include the resource ID of the network map based on which thePIDs are defined. If this resource supports "persistent-entity-id", it MUST alsoinclude the defining resources of persistent ANEs that may appear in the response.

7.2.6.Response

The response MUST indicate an error, using ALTO protocol error handling, asdefined in Section 8.5 of[RFC7285], if the request is invalid.

The "Content-Type" header of the response MUST be "multipart/related" as definedby[RFC2387] with the following parameters:

type:

The type parameter is mandatory and MUST be "application/alto-costmap+json". Notethat[RFC2387] permits both parameters with and without the double quotes.

start:

The start parameter is as defined in[RFC2387] and is optional.If present, it MUST have the same value as the "Content-ID" header of the PathVector part.

boundary:

The boundary parameter is as defined in Section 5.1.1 of[RFC2046] and is mandatory.

The body of the response MUST consist of two parts:

  • The Path Vector part MUST include "Content-ID" and "Content-Type" in itsheader. The "Content-Type" MUST be "application/alto-costmap+json".The value of "Content-ID" MUST have the same format as the Part Content ID asspecified inSection 6.6.

    The body of the Path Vector part MUST be a JSON object with the same format asdefined in Section 11.2.3.6 of[RFC7285] when the "cost-type" field ispresent in the input parameters and MUST be a JSON object with the same formatas defined in Section 4.1.3 of[RFC8189] if the "multi-cost-types" field ispresent. The JSON object MUST include the"vtag" field in the "meta" field, which provides the version tag of thereturned CostMapData. The resource ID of the version tag MUST follow theformat of

    resource-id '.' part-resource-id

    where "resource-id" is the resource Id of the Path Vector resource, and"part-resource-id" has the same value as the PART-RESOURCE-ID in the"Content-ID" of the Path Vector part.The "meta" field MUST also include the "dependent-vtags" field, whose value isa single-element array to indicate the version tag of the network map used,where the network map is specified in the "uses" attribute of the multipartFiltered Cost Map resource in IRD.

  • The Unified Property Map part MUST also include "Content-ID" and"Content-Type" in its header. The "Content-Type" MUST be"application/alto-propmap+json". The value of "Content-ID" MUST have the sameformat as the Part Content ID as specified inSection 6.6.

    The body of the Unified Property Map part is a JSON object with the sameformat as defined in Section 7.6 of[I-D.ietf-alto-unified-props-new]. TheJSON object MUST include the "dependent-vtags" field in the "meta" field. Thevalue of the "dependent-vtags" field MUST be an array of VersionTag objects asdefined by Section 10.3 of[RFC7285]. The "vtag" of the Path Vector part MUSTbe included in the "dependent-vtags". If "persistent-entity-id" is requested, theversion tags of the dependent resources that may expose the entities in theresponse MUST also be included.

    The PropertyMapData has one member for each ANEName that appears in the PathVector part, which is an entity identifier belonging to the self-definedentity domain as defined in Section 5.1.2.3 of[I-D.ietf-alto-unified-props-new]. The EntityProps for each ANE has onemember for each property that is both 1) associated with the ANE, and 2)specified in the "ane-property-names" in the request. If the Path Vector costtype is not included in the "cost-type" field or the "multi-cost-type" field,the "property-map" field MUST be present and the value MUST be an empty object({}).

A complete and valid response MUST include both the Path Vector part and theProperty Map part in the multipart message. If any part is NOT present, theclient MUST discard the received information and send another request ifnecessary.

According to[RFC2387], the Path Vector part, whose media type isthe same as the "type" parameter of the multipart response message, is the rootobject. Thus, it is the element the application processes first. Even though the"start" parameter allows it to be placed anywhere in the part sequence, it isRECOMMENDED that the parts arrive in the same order as they are processed, i.e.,the Path Vector part is always put as the first part, followed by the PropertyMap part. When doing so, an ALTO server MAY choose not to set the "start"parameter, which implies the first part is the root object.

Example: Consider the network inFigure 1. The response of the examplerequest inSection 7.2.3 is as follows, where "ANE1" represents theaggregation of all the switches in the network.

HTTP/1.1 200 OKContent-Length: 859Content-Type: multipart/related; boundary=example-1;              type=application/alto-costmap+json--example-1Content-ID: <costmap@alto.example.com>Content-Type: application/alto-costmap+json{  "meta": {    "vtag": {      "resource-id": "filtered-cost-map-pv.costmap",      "tag": "fb20b76204814e9db37a51151faaaef2"    },    "dependent-vtags": [      {        "resource-id": "my-default-networkmap",        "tag": "75ed013b3cb58f896e839582504f6228"      }    ],    "cost-type": { "cost-mode": "array", "cost-metric": "ane-path" }  },  "cost-map": {    "PID1": { "PID2": ["ANE1"] }  }}--example-1Content-ID: <propmap@alto.example.com>Content-Type: application/alto-propmap+json{  "meta": {    "dependent-vtags": [      {        "resource-id": "filtered-cost-map-pv.costmap",        "tag": "fb20b76204814e9db37a51151faaaef2"      }    ]  },  "property-map": {    ".ane:ANE1": { "max-reservable-bandwidth": 100000000 }  }}

7.3.Multipart Endpoint Cost Service for Path Vector

This document introduces a new ALTO resource called multipart Endpoint CostService, which allows an ALTO server to provide other ALTO resources associatedwith the Endpoint Cost Service resource in the same response.

7.3.1.Media Type

The media type of the multipart Endpoint Cost Service resource is"multipart/related" and the required "type" parameter MUST havea value of "application/alto-endpointcost+json".

7.3.2.HTTP Method

The multipart Endpoint Cost Service resource is requested using the HTTP POST method.

7.3.3.Accept Input Parameters

The input parameters of the multipart Endpoint Cost Service resource aresupplied in the body of an HTTP POST request. This document extends the inputparameters to an Endpoint Cost Service, which is defined as a JSON object oftype ReqEndpointCost in Section 4.2.2 of[RFC8189], with a dataformat indicated by the media type "application/alto-endpointcostparams+json",which is a JSON object of type PVReqEndpointCost:

object {  [EntityPropertyName ane-property-names<0..*>;]} PVReqEndpointcost : ReqEndpointcostMap;

with fields:

ane-property-names:

This document defines the "ane-property-names" in PVReqEndpointcost as thesame as in PVReqFilteredCostMap. SeeSection 7.2.3.

Example: Consider the network inFigure 1. If an ALTO client wants toquery the "max-reservable-bandwidth" between eh1 and eh2, it can submit thefollowing request.

POST /ecs/pv HTTP/1.1Host: alto.example.comAccept: multipart/related;type=application/alto-endpointcost+json,        application/alto-error+jsonContent-Length: 227Content-Type: application/alto-endpointcostparams+json{  "cost-type": {    "cost-mode": "array",    "cost-metric": "ane-path"  },  "endpoints": {    "srcs": [ "ipv4:192.0.2.2" ],    "dsts": [ "ipv4:192.0.2.18" ]  },  "ane-property-names": [ "max-reservable-bandwidth" ]}

7.3.4.Capabilities

The capabilities of the multipart Endpoint Cost Service resource are defined bya JSON object of type PVEndpointcostCapabilities, which is defined as the sameas PVFilteredCostMapCapabilities. SeeSection 7.2.4.

7.3.5.Uses

If this resource supports "persistent-entity-id", it MUST also include thedefining resources of persistent ANEs that may appear in the response.

7.3.6.Response

The response MUST indicate an error, using ALTO protocol error handling, asdefined in Section 8.5 of[RFC7285], if the request is invalid.

The "Content-Type" header of the response MUST be "multipart/related" as definedby[RFC7285] with the following parameters:

type:

The type parameter MUST be "application/alto-endpointcost+json" and is mandatory.

start:

The start parameter is as defined inSection 7.2.6.

boundary:

The boundary parameter is as defined in Section 5.1.1 of[RFC2046] and is mandatory.

The body MUST consist of two parts:

  • The Path Vector part MUST include "Content-ID" and "Content-Type" in itsheader.The "Content-Type" MUST be "application/alto-endpointcost+json".The value of "Content-ID" MUST have the same format as the Part Content ID asspecified inSection 6.6.

    The body of the Path Vector part MUST be a JSON object with the same format asdefined in Section 11.5.1.6 of[RFC7285] when the "cost-type" field ispresent in the input parameters and MUST be a JSON object with the same formatas defined in Section 4.2.3 of[RFC8189] if the "multi-cost-types" field ispresent. The JSON object MUST include the"vtag" field in the "meta" field, which provides the version tag of the returnedEndpointCostMapData. The resource ID of the version tag MUST follow the format of

    resource-id '.' part-resource-id

    where "resource-id" is the resource Id of the Path Vector resource, and"part-resource-id" has the same value as the PART-RESOURCE-ID in the "Content-ID"of the Path Vector part.

  • The Unified Property Map part MUST also include "Content-ID" and"Content-Type" in its header. The "Content-Type" MUST be"application/alto-propmap+json".The value of "Content-ID" MUST have the same format as the Part Content ID asspecified inSection 6.6.

    The body of the Unified Property Map part MUST be a JSON object with the sameformat as defined in Section 7.6 of[I-D.ietf-alto-unified-props-new]. TheJSON object MUST include the "dependent-vtags" field in the "meta" field. Thevalue of the "dependent-vtags" field MUST be an array of VersionTag objects asdefined by Section 10.3 of[RFC7285]. The "vtag" of the Path Vector part MUSTbe included in the "dependent-vtags". If "persistent-entity-id" is requested, theversion tags of the dependent resources that may expose the entities in theresponse MUST also be included.

    The PropertyMapData has one member for each ANEName that appears in the PathVector part, which is an entity identifier belonging to the self-definedentity domain as defined in Section 5.1.2.3 of[I-D.ietf-alto-unified-props-new]. The EntityProps for each ANE has onemember for each property that is both 1) associated with the ANE, and 2)specified in the "ane-property-names" in the request. If the Path Vector costtype is not included in the "cost-type" field or the "multi-cost-type" field,the "property-map" field MUST be present and the value MUST be an empty object({}).

A complete and valid response MUST include both the Path Vector part and theProperty Map part in the multipart message. If any part is NOT present, theclient MUST discard the received information and send another request ifnecessary.

According to[RFC2387], the Path Vector part, whose media type isthe same as the "type" parameter of the multipart response message, is the rootobject. Thus, it is the element the application processes first. Even though the"start" parameter allows it to be placed anywhere in the part sequence, it isRECOMMENDED that the parts arrive in the same order as they are processed, i.e.,the Path Vector part is always put as the first part, followed by the PropertyMap part. When doing so, an ALTO server MAY choose not to set the "start"parameter, which implies the first part is the root object.

Example: Consider the network inFigure 1. The response of the examplerequest inSection 7.3.3 is as follows.

HTTP/1.1 200 OKContent-Length: 845Content-Type: multipart/related; boundary=example-1;              type=application/alto-endpointcost+json--example-1Content-ID: <ecs@alto.example.com>Content-Type: application/alto-endpointcost+json{  "meta": {    "vtag": {      "resource-id": "ecs-pv.ecs",      "tag": "ec137bb78118468c853d5b622ac003f1"    },    "dependent-vtags": [      {        "resource-id": "my-default-networkmap",        "tag": "677fe5f4066848d282ece213a84f9429"      }    ],    "cost-type": { "cost-mode": "array", "cost-metric": "ane-path" }  },  "cost-map": {    "ipv4:192.0.2.2": { "ipv4:192.0.2.18": ["ANE1"] }  }}--example-1Content-ID: <propmap@alto.example.com>Content-Type: application/alto-propmap+json{  "meta": {    "dependent-vtags": [      {        "resource-id": "ecs-pv.ecs",        "tag": "ec137bb78118468c853d5b622ac003f1"      }    ]  },  "property-map": {    ".ane:ANE1": { "max-reservable-bandwidth": 100000000 }  }}

8.Examples

This section lists some examples of Path Vector queries and the correspondingresponses. Some long lines are truncated for better readability.

8.1.Sample Setup

                                     ----- L1                                    /        PID1   +----------+ 10 Gbps +----------+    PID3 192.0.2.0/28+-+ +------+ +---------+          +--+192.0.2.32/28               | | MEC1 | |         |          |   2001:db8::3:0/16               | +------+ |   +-----+          |        PID2   |          |   |     +----------+192.0.2.16/28+-+          |   |         NET3               |          |   | 15 Gbps               |          |   |        \               +----------+   |         -------- L2                   NET1       |                            +----------+                            | +------+ |   PID4                            | | MEC2 | +--+192.0.2.48/28                            | +------+ |   2001:db8::4:0/16                            +----------+                                NET2
Figure 10:Examples of ANE Properties

In this document,Figure 10 is used to illustrate the message contents. Thereare 3 sub-networks (NET1, NET2 and NET3) and two interconnection links (L1 andL2). It is assumed that each sub-network has sufficiently large bandwidth to bereserved.

8.2.Information Resource Directory

To give a comprehensive example of the extension defined in this document, weconsider the network inFigure 10. Assume that the ALTO server provides thefollowing information resources:

  • "my-default-networkmap": A Network Map resource which contains the PIDs in thenetwork.
  • "filtered-cost-map-pv": A Multipart Filtered Cost Map resource for Path Vector,which exposes the "max-reservable-bandwidth" property for the PIDs in"my-default-networkmap".
  • "ane-props": A filtered Unified Property resource that exposes theinformation for persistent ANEs in the network.
  • "endpoint-cost-pv": A Multipart Endpoint Cost Service for Path Vector, whichexposes the "max-reservable-bandwidth" and the "persistent-entity-id" properties.
  • "update-pv": An Update Stream service, which provides the incremental updateservice for the "endpoint-cost-pv" service.
  • "multicost-pv": A Multipart Endpoint Cost Service with both Multi-Cost andPath Vector.

Below is the Information Resource Directory of the example ALTO server. Toenable the extension defined in this document, the "path-vector" cost type(Section 6.5) is defined in the "cost-types" of the "meta" field, and isincluded in the "cost-type-names" of resources "filtered-cost-map-pv" and"endpoint-cost-pv".

{  "meta": {    "cost-types": {      "path-vector": {        "cost-mode": "array",        "cost-metric": "ane-path"      },      "num-rc": {        "cost-mode": "numerical",        "cost-metric": "routingcost"      }    }  },  "resources": {    "my-default-networkmap": {      "uri": "https://alto.example.com/networkmap",      "media-type": "application/alto-networkmap+json"    },    "filtered-cost-map-pv": {      "uri": "https://alto.example.com/costmap/pv",      "media-type": "multipart/related;                     type=application/alto-costmap+json",      "accepts": "application/alto-costmapfilter+json",      "capabilities": {        "cost-type-names": [ "path-vector" ],        "ane-property-names": [ "max-reservable-bandwidth" ]      },      "uses": [ "my-default-networkmap" ]    },    "ane-props": {      "uri": "https://alto.example.com/ane-props",      "media-type": "application/alto-propmap+json",      "accepts": "application/alto-propmapparams+json",      "capabilities": {        "mappings": {          ".ane": [ "cpu" ]        }      }    },    "endpoint-cost-pv": {      "uri": "https://alto.exmaple.com/endpointcost/pv",      "media-type": "multipart/related;                     type=application/alto-endpointcost+json",      "accepts": "application/alto-endpointcostparams+json",      "capabilities": {        "cost-type-names": [ "path-vector" ],        "ane-property-names": [          "max-reservable-bandwidth", "persistent-entity-id"        ]      },      "uses": [ "ane-props" ]    },    "update-pv": {      "uri": "https://alto.example.com/updates/pv",      "media-type": "text/event-stream",      "uses": [ "endpoint-cost-pv" ],      "accepts": "application/alto-updatestreamparams+json",      "capabilities": {        "support-stream-control": true      }    },    "multicost-pv": {      "uri": "https://alto.exmaple.com/endpointcost/mcpv",      "media-type": "multipart/related;                     type=application/alto-endpointcost+json",      "accepts": "application/alto-endpointcostparams+json",      "capabilities": {        "cost-type-names": [ "path-vector", "num-rc" ],        "max-cost-types": 2,        "testable-cost-type-names": [ "num-rc" ],        "ane-property-names": [          "max-reservable-bandwidth", "persistent-entity-id"        ]      },      "uses": [ "ane-props" ]    }  }}

8.3.Multipart Filtered Cost Map

The following examples demonstrate the request to the "filtered-cost-map-pv"resource and the corresponding response.

The request uses the "path-vector" cost type in the "cost-type" field. The"ane-property-names" field is missing, indicating that the client only requestsfor the Path Vector but not the ANE properties.

The response consists of two parts. The first part returns the array of ANENamefor each source and destination pair. There are two ANEs, where "L1" representsthe interconnection link L1, and "L2" represents the interconnection link L2.

The second part returns an empty Property Map. Note that the ANE entries areomitted since they have no properties (See Section 3.1 of[I-D.ietf-alto-unified-props-new]).

POST /costmap/pv HTTP/1.1Host: alto.example.comAccept: multipart/related;type=application/alto-costmap+json,        application/alto-error+jsonContent-Length: 153Content-Type: application/alto-costmapfilter+json{  "cost-type": {    "cost-mode": "array",    "cost-metric": "ane-path"  },  "pids": {    "srcs": [ "PID1" ],    "dsts": [ "PID3", "PID4" ]  }}
HTTP/1.1 200 OKContent-Length: 855Content-Type: multipart/related; boundary=example-1;              type=application/alto-costmap+json--example-1Content-ID: <costmap@alto.example.com>Content-Type: application/alto-costmap+json{  "meta": {    "vtag": {      "resource-id": "filtered-cost-map-pv.costmap",      "tag": "d827f484cb66ce6df6b5077cb8562b0a"    },    "dependent-vtags": [      {        "resource-id": "my-default-networkmap",        "tag": "c04bc5da49534274a6daeee8ea1dec62"      }    ],    "cost-type": {      "cost-mode": "array",      "cost-metric": "ane-path"    }  },  "cost-map": {    "PID1": {      "PID3": [ "L1" ],      "PID4": [ "L1", "L2" ]    }  }}--example-1Content-ID: <propmap@alto.example.com>Content-Type: application/alto-propmap+json{  "meta": {    "dependent-vtags": [      {        "resource-id": "filtered-cost-map-pv.costmap",        "tag": "d827f484cb66ce6df6b5077cb8562b0a"      }    ]  },  "property-map": {  }}

8.4.Multipart Endpoint Cost Service Resource

The following examples demonstrate the request to the "endpoint-cost-pv"resource and the corresponding response.

The request uses the Path Vector cost type in the "cost-type" field, andqueries the Maximum Reservable Bandwidth ANE property and the Persistent Entityproperty for two IPv4 source and destination pairs (192.0.2.34 -> 192.0.2.2 and192.0.2.34 -> 192.0.2.50) and one IPv6 source and destination pair(2001:db8::3:1 -> 2001:db8::4:1).

The response consists of two parts. The first part returns the array of ANENamefor each valid source and destination pair. As one can see inFigure 10, flow192.0.2.34 -> 192.0.2.2 traverses NET2, L1 and NET1, and flows 192.0.2.34 ->192.0.2.50 and 2001:db8::3:1 -> 2001:db8::4:1 traverse NET2, L2 and NET3.

The second part returns the requested properties of ANEs. Assume NET1, NET2 and NET3 hassufficient bandwidth and their "max-reservable-bandwidth" values are set to a sufficientlylarge number (50 Gbps in this case). On the other hand, assume there are noprior reservation on L1 and L2, and their "max-reservable-bandwidth" values arethe corresponding link capacity (10 Gbps for L1 and 15 Gbps for L2).

Both NET1 and NET2 have a mobile edge deployed, i.e., MEC1 in NET1 and MEC2 inNET2. Assume the ANEName for MEC1 and MEC2 are "MEC1" and "MEC2" and theirproperties can be retrieved from the Property Map "ane-props". Thus, the"persistent-entity-id" property of NET1 and NET3 are "ane-props.ane:MEC1" and"ane-props.ane:MEC2" respectively.

POST /endpointcost/pv HTTP/1.1Host: alto.example.comAccept: multipart/related;        type=application/alto-endpointcost+json,        application/alto-error+jsonContent-Length: 362Content-Type: application/alto-endpointcostparams+json{  "cost-type": {    "cost-mode": "array",    "cost-metric": "ane-path"  },  "endpoints": {    "srcs": [      "ipv4:192.0.2.34",      "ipv6:2001:db8::3:1"    ],    "dsts": [      "ipv4:192.0.2.2",      "ipv4:192.0.2.50",      "ipv6:2001:db8::4:1"    ]  },  "ane-property-names": [    "max-reservable-bandwidth",    "persistent-entity-id"  ]}
HTTP/1.1 200 OKContent-Length: 1432Content-Type: multipart/related; boundary=example-2;              type=application/alto-endpointcost+json--example-2Content-ID: <ecs@alto.example.com>Content-Type: application/alto-endpointcost+json{  "meta": {    "vtags": {      "resource-id": "endpoint-cost-pv.ecs",      "tag": "bb6bb72eafe8f9bdc4f335c7ed3b10822a391cef"    },    "cost-type": {      "cost-mode": "array",      "cost-metric": "ane-path"    }  },  "endpoint-cost-map": {    "ipv4:192.0.2.34": {      "ipv4:192.0.2.2":   [ "NET3", "L1", "NET1" ],      "ipv4:192.0.2.50":   [ "NET3", "L2", "NET2" ]    },    "ipv6:2001:db8::3:1": {      "ipv6:2001:db8::4:1": [ "NET3", "L2", "NET2" ]    }  }}--example-2Content-ID: <propmap@alto.example.com>Content-Type: application/alto-propmap+json{  "meta": {    "dependent-vtags": [      {        "resource-id": "endpoint-cost-pv.ecs",        "tag": "bb6bb72eafe8f9bdc4f335c7ed3b10822a391cef"      },      {        "resource-id": "ane-props",        "tag": "bf3c8c1819d2421c9a95a9d02af557a3"      }    ]  },  "property-map": {    ".ane:NET1": {      "max-reservable-bandwidth": 50000000000,      "persistent-entity-id": "ane-props.ane:MEC1"    },    ".ane:NET2": {      "max-reservable-bandwidth": 50000000000,      "persistent-entity-id": "ane-props.ane:MEC2"    },    ".ane:NET3": {      "max-reservable-bandwidth": 50000000000    },    ".ane:L1": {      "max-reservable-bandwidth": 10000000000    },    ".ane:L2": {      "max-reservable-bandwidth": 15000000000    }  }}

Under certain scenarios where the traversal order is not crucial, an ALTO serverimplementation may choose to not follow strictly the physical traversal orderand may even obfuscate the order intentionally to preserve its own privacy orconform to its own policies.For example, an ALTO server may choose to aggregate NET1 and L1 as a new ANEwith ANE name "AGGR1", and aggregate NET2 and L2 as a new ANE with ANE name"AGGR2". The "max-reservable-bandwidth" of "AGGR1" takes the value of L1, whichis smaller than that of NET1, and the "persistent-entity-id" of "AGGR1" takesthe value of NET1. The properties of "AGGR2" are computed in a similar way andthe obfuscated response is as shown below. Note that the obfuscation of PathVector responses is implementation-specific and is out of the scope of thisdocument, and developers may refer toSection 11 for further references.

HTTP/1.1 200 OKContent-Length: 1263Content-Type: multipart/related; boundary=example-2;              type=application/alto-endpointcost+json--example-2Content-ID: <ecs@alto.example.com>Content-Type: application/alto-endpointcost+json{  "meta": {    "vtags": {      "resource-id": "endpoint-cost-pv.ecs",      "tag": "bb975862fbe3422abf4dae386b132c1d"    },    "cost-type": {      "cost-mode": "array",      "cost-metric": "ane-path"    }  },  "endpoint-cost-map": {    "ipv4:192.0.2.34": {      "ipv4:192.0.2.2":   [ "NET3", "AGGR1" ],      "ipv4:192.0.2.50":   [ "NET3", "AGGR2" ]    },    "ipv6:2001:db8::3:1": {      "ipv6:2001:db8::4:1": [ "NET3", "AGGR2" ]    }  }}--example-2Content-ID: <propmap@alto.example.com>Content-Type: application/alto-propmap+json{  "meta": {    "dependent-vtags": [      {        "resource-id": "endpoint-cost-pv.ecs",        "tag": "bb975862fbe3422abf4dae386b132c1d"      },      {        "resource-id": "ane-props",        "tag": "bf3c8c1819d2421c9a95a9d02af557a3"      }    ]  },  "property-map": {    ".ane:AGGR1": {      "max-reservable-bandwidth": 10000000000,      "persistent-entity-id": "ane-props.ane:MEC1"    },    ".ane:AGGR2": {      "max-reservable-bandwidth": 15000000000,      "persistent-entity-id": "ane-props.ane:MEC2"    },    ".ane:NET3": {      "max-reservable-bandwidth": 50000000000    }  }}

8.5.Incremental Updates

In this example, an ALTO client subscribes to the incremental update for themultipart Endpoint Cost Service resource "endpoint-cost-pv".

POST /updates/pv HTTP/1.1Host: alto.example.comAccept: text/event-streamContent-Type: application/alto-updatestreamparams+jsonContent-Length: 112{  "add": {    "ecspvsub1": {      "resource-id": "endpoint-cost-pv",      "input": <ecs-input>    }  }}

Based on the server-side process defined in[RFC8895], the ALTO server willsend the "control-uri" first using Server-Sent Event (SSE), followed by the fullresponse of the multipart message.

HTTP/1.1 200 OKConnection: keep-aliveContent-Type: text/event-streamevent: application/alto-updatestreamcontrol+jsondata: {"control-uri": "https://alto.example.com/updates/streams/123"}event: multipart/related;boundary=example-3;       type=application/alto-endpointcost+json,ecspvsub1data: --example-3data: Content-ID: <ecsmap@alto.example.com>data: Content-Type: application/alto-endpointcost+jsondata:data: <endpoint-cost-map-entry>data: --example-3data: Content-ID: <propmap@alto.example.com>data: Content-Type: application/alto-propmap+jsondata:data: <property-map-entry>data: --example-3--

When the contents change, the ALTO server will publish the updates for each nodein this tree separately, based on Section 6.7.3 of[RFC8895].

event: application/merge-patch+json, ecspvsub1.ecsmap@alto.example.comdata: <Merge patch for endpoint-cost-map-update>event: application/merge-patch+json, ecspvsub1.propmap@alto.example.comdata: <Merge patch for property-map-update>

8.6.Multi-cost

The following examples demonstrate the request to the "multicost-pv" resourceand the corresponding response.

The request asks for two cost types: the first is the Path Vector cost type, andthe second is a numerical routing cost. It also queries the Maximum ReservableBandwidth ANE property and the Persistent Entity property for two IPv4 source anddestination pairs (192.0.2.34 -> 192.0.2.2 and 192.0.2.34 -> 192.0.2.50) and oneIPv6 source and destination pair (2001:db8::3:1 -> 2001:db8::4:1).

The response consists of two parts. The first part returns a JSONArray thatcontains two JSONValue for each requested source and destination pair: the firstJSONValue is a JSONArray of ANENames, which is the value of the Path Vector costtype, and the second JSONValue is a JSONNumber which is the value of the routingcost. The second part contains a Property Map that maps the ANEs to theirrequested properties.

POST /endpointcost/mcpv HTTP/1.1Host: alto.example.comAccept: multipart/related;        type=application/alto-endpointcost+json,        application/alto-error+jsonContent-Length: 433Content-Type: application/alto-endpointcostparams+json{  "multi-cost-types": [    { "cost-mode": "array", "cost-metric": "ane-path" },    { "cost-mode": "numerical", "cost-metric": "routingcost" }  ],  "endpoints": {    "srcs": [      "ipv4:192.0.2.34",      "ipv6:2001:db8::3:1"    ],    "dsts": [      "ipv4:192.0.2.2",      "ipv4:192.0.2.50",      "ipv6:2001:db8::4:1"    ]  },  "ane-property-names": [    "max-reservable-bandwidth",    "persistent-entity-id"  ]}
HTTP/1.1 200 OKContent-Length: 1350Content-Type: multipart/related; boundary=example-4;              type=application/alto-endpointcost+json--example-4Content-ID: <ecs@alto.example.com>Content-Type: application/alto-endpointcost+json{  "meta": {    "vtags": {      "resource-id": "endpoint-cost-pv.ecs",      "tag": "84a4f9c14f9341f0983e3e5f43a371c8"    },    "multi-cost-types": [      { "cost-mode": "array", "cost-metric": "ane-path" },      { "cost-mode": "numerical", "cost-metric": "routingcost" }    ]  },  "endpoint-cost-map": {    "ipv4:192.0.2.34": {      "ipv4:192.0.2.2":   [[ "NET3", "AGGR1" ], 3],      "ipv4:192.0.2.50":   [[ "NET3", "AGGR2" ], 2]    },    "ipv6:2001:db8::3:1": {      "ipv6:2001:db8::4:1": [[ "NET3", "AGGR2" ], 2]    }  }}--example-4Content-ID: <propmap@alto.example.com>Content-Type: application/alto-propmap+json{  "meta": {    "dependent-vtags": [      {        "resource-id": "endpoint-cost-pv.ecs",        "tag": "84a4f9c14f9341f0983e3e5f43a371c8"      },      {        "resource-id": "ane-props",        "tag": "be157afa031443a187b60bb80a86b233"      }    ]  },  "property-map": {    ".ane:AGGR1": {      "max-reservable-bandwidth": 10000000000,      "persistent-entity-id": "ane-props.ane:MEC1"    },    ".ane:AGGR2": {      "max-reservable-bandwidth": 15000000000,      "persistent-entity-id": "ane-props.ane:MEC2"    },    ".ane:NET3": {      "max-reservable-bandwidth": 50000000000    }  }}

9.Compatibility with Other ALTO Extensions

9.1.Compatibility with Legacy ALTO Clients/Servers

The multipart Filtered Cost Map resource and the multipart Endpoint CostService resource has no backward compatibility issue with legacy ALTO clients andservers. Although these two types of resources reuse the media types defined inthe base ALTO protocol for the accept input parameters, they have differentmedia types for responses. If the ALTO server provides these two types ofresources, but the ALTO client does not support them, the ALTO client willignore the resources without incurring any incompatibility problem.

9.2.Compatibility with Multi-Cost Extension

The extension defined in this document is compatible with the multi-costextension[RFC8189]. Such a resource has a media type of either"multipart/related; type=application/alto-costmap+json" or "multipart/related;type=application/alto-endpointcost+json". Its "cost-constraints" field musteither be "false" or not present and the Path Vector cost type must be presentin the "cost-type-names" capability field but must not be present in the"testable-cost-type-names" field, as specified inSection 7.2.4 andSection 7.3.4.

9.3.Compatibility with Incremental Update

This extension is compatible with the incremental update extension[RFC8895].ALTO clients and servers MUST follow the specifications given in Sections 5.2and 6.7.3 of[RFC8895] to support incremental updates for a Path Vectorresource.

9.4.Compatibility with Cost Calendar

The extension specified in this document is compatible with the Cost Calendarextension[RFC8896]. When used together with the Cost Calendar extension, thecost value between a source and a destination is an array of Path Vectors, wherethe k-th Path Vector refers to the abstract network paths traversed in the k-thtime interval by traffic from the source to the destination.

When used with time-varying properties, e.g., maximum reservable bandwidth, aproperty of a single ANE may also have different values in different timeintervals. In this case, if such an ANE has different property values in twotime intervals, it MUST be treated as two different ANEs, i.e., with differententity identifiers. However, if it has the same property values in two timeintervals, it MAY use the same identifier.

This rule allows the Path Vector extension to represent both changes of ANEs andchanges of the ANEs' properties in a uniform way. The Path Vector part iscalendared in a compatible way, and the Property Map part is not affected by thecalendar extension.

The two extensions combined together can provide the historical networkcorrelation information for a set of source and destination pairs. A networkbroker or client may use this information to derive other resource requirementssuch as Time-Block-Maximum Bandwidth, Bandwidth-Sliding-Window, andTime-Bandwidth-Product (TBP) (See[SENSE] for details).

10.General Discussions

10.1.Constraint Tests for General Cost Types

The constraint test is a simple approach to query the data. It allows users tofilter the query result by specifying some boolean tests. This approach isalready used in the ALTO protocol.[RFC7285] and[RFC8189] allow ALTOclients to specify the "constraints" and "or-constraints" tests to betterfilter the result.

However, the current syntax can only be used to test scalar cost types, andcannot easily express constraints on complex cost types, e.g., the Path Vectorcost type defined in this document.

In practice, developing a bespoke language for general-purpose boolean tests canbe a complex undertaking, and it is conceivable that there are some existingimplementations already (the authors have not done an exhaustive search todetermine whether there are such implementations). One avenue to develop such alanguage may be to explore extending current query languages like XQuery[XQuery] or JSONiq[JSONiq] and integrating these with ALTO.

Filtering the Path Vector results or developing a more sophisticated filteringmechanism is beyond the scope of this document.

10.2.General Multi-Resource Query

Querying multiple ALTO information resources continuously is a generalrequirement. Enabling such a capability, however, must address generalissues like efficiency and consistency. The incremental update extension[RFC8895] supports submitting multiple queries in a single request, and allowsflexible control over the queries. However, it does not cover the caseintroduced in this document where multiple resources are needed for a singlerequest.

This extension gives an example of using a multipart message to encode theresponses from two specific ALTO information resources: a Filtered Cost Map oran Endpoint Cost Service, and a Property Map. By packing multiple resources in asingle response, the implication is that servers may proactively push relatedinformation resources to clients.

Thus, it is worth looking into the direction of extending the SSE mechanism asused in the incremental update extension[RFC8895], or upgrading to HTTP/2[I-D.ietf-httpbis-http2bis] and HTTP/3[I-D.ietf-quic-http], whichprovides the ability to multiplex queries and to allow servers proactively sendrelated information resources.

Defining a general multi-resource query mechanism is out of the scope of thisdocument.

11.Security Considerations

This document is an extension of the base ALTO protocol, so the SecurityConsiderations[RFC7285] of the base ALTO protocol fully apply when thisextension is provided by an ALTO server.

The Path Vector extension requires additional scrutiny on three securityconsiderations discussed in the base protocol: confidentiality of ALTOinformation (Section 15.3 of[RFC7285]), potential undesirable guidance fromauthenticated ALTO information (Section 15.2 of[RFC7285]), and availabilityof ALTO service (Section 15.5 of[RFC7285]).

For confidentiality of ALTO information, a network operator should be aware thatthis extension may introduce a new risk: the Path Vector information, when usedtogether with sensitive ANE properties such as capacities of bottleneck links,may make network attacks easier. For example, as the Path Vector information mayreveal more fine-grained internal network structures than the base protocol, anattacker may identify the bottleneck link and start a distributeddenial-of-service (DDoS) attack involving minimal flows to conduct thein-network congestion. Given the potential risk of leaking sensitiveinformation, the Path Vector extension is mainly applicable in scenarios where1) the ANE structures and ANE properties do not impose security risks to theALTO service provider, e.g., not carrying sensitive information, or 2) the ALTOserver and client have established a reliable trust relationship, for example,operated in the same administrative domain, or managed by business partners withlegal contracts.

Three risk types are identified in Section 15.3.1 of[RFC7285]: (1) Excessdisclosure of the ALTO service provider's data to an unauthorized ALTO client;(2) Disclosure of the ALTO service provider's data (e.g., network topologyinformation or endpoint addresses) to an unauthorized third party; and (3)Excess retrieval of the ALTO service provider's data by collaborating ALTOclients. To mitigate these risks, an ALTO server MUST follow the guidelines inSection 15.3.2 of[RFC7285]. Furthermore, an ALTO server MUST follow thefollowing additional protections strategies for risk types (1) and (3).

For risk type (1), an ALTO server MUST use the authentication methods specifiedin Section 15.3.2 of[RFC7285] to authenticate the identify of an ALTO client,and apply access control techniques to restrict unprivileged ALTO clients fromretrieving sensitive Path Vector information. For settings where the ALTO serverand client are not in the same trust domain, the ALTO server should reachagreements with the ALTO client on protecting the confidentiality beforegranting the access to Path Vector service with sensitive information. Suchagreements may include legal contracts or Digital Right Management (DRM)techniques. Otherwise, the ALTO server MUST NOT offer the Path Vector servicecarrying sensitive information to the clients unless the potential risks arefully assessed and mitigated.

For risk type (3), an ALTO service provider must be aware that persistent ANEsmay be used as "landmarks" in collaborative inferences. Thus, they should onlybe used when exposing public service access points (e.g., API gateways, CDNi)and/or when the granularity is coarse-grained (e.g., when an ANE represents anAS, a data center or a WAN).Otherwise, an ALTO server MUST use dynamic mappings from ephemeral ANE names tounderlying physical entities. Specifically, for the same physical entity, anALTO server SHOULD assign a different ephemeral ANE name when the entity appearsin the responses to different clients or even for different request from thesame client. A RECOMMENDED assignment strategy is to generate ANE names fromrandom numbers.

Further, to protect the network topology from graph reconstruction (e.g.,through isomorphic graph identification[BONDY]), the ALTO server SHOULDconsider protection mechanisms to reduce information exposure or obfuscate thereal information. When doing so, the ALTO server must be aware that informationreduction/obfuscation may lead to potential Undesirable Guidance fromAuthenticated ALTO Information risk (Section 15.2 of[RFC7285]).

Thus, implementations of ALTO servers involving reduction or obfuscation of thePath Vector information SHOULD consider reduction/obfuscation mechanisms thatcan preserve the integrity of ALTO information, for example, by using minimalfeasible region compression algorithms[NOVA] or obfuscation protocols[RESA][MERCATOR]. However, these obfuscation methods are experimental andtheir practical applicability of these methods to the generic capabilityprovided by this extension is not fully assessed. The ALTO server MUST carefullyverify that the deployment scenario satisfies the security assumptions of thesemethods before applying them to protect Path Vector services with sensitivenetwork information.

For availability of ALTO service, an ALTO server should be cognizant that usingPath Vector extension might have a new risk: frequent requesting for PathVectors might consume intolerable amounts of the server-side computation andstorage, which can break the ALTO server. For example, if an ALTO serverimplementation dynamically computes the Path Vectors for each request, theservice providing Path Vectors may become an entry point for denial-of-serviceattacks on the availability of an ALTO server.

To mitigate this risk, an ALTO server may consider using optimizations such asprecomputation-and-projection mechanisms[MERCATOR] to reduce the overhead forprocessing each query. Also, an ALTO server may also protect itself frommalicious clients by monitoring the behaviors of clients and stopping servingclients with suspicious behaviors (e.g., sending requests at a high frequency).

The ALTO service providers must be aware that providing incremental updates ofthe "max-reservable-bandwidth" may provide information about other consumers ofthe network. For example, a change of the value may indicate one or morereservations has been made or changed. To mitigate this risk, an ALTO servercan batch the updates and/or add a random delay before publishing the updates.

12.IANA Considerations

12.1.ALTO Cost Metric Registry

This document registers a new entry to the ALTO Cost Metric Registry, asinstructed by Section 14.2 of[RFC7285]. The new entryis as shown below inTable 1.

Table 1:ALTO Cost Metric Registry
IdentifierIntended SemanticsSecurity Considerations
ane-pathSeeSection 6.5.1SeeSection 11

12.2.ALTO Cost Mode Registry

This document registers a new entry to the ALTO Cost Mode Registry, asinstructed by Section 4 of[I-D.bw-alto-cost-mode]. The new entryis as shown below inTable 2.

Table 2:ALTO Cost Mode Registry
IdentifierIntended Semantics
arraySeeSection 6.5.2

12.3.ALTO Entity Domain Type Registry

This document registers a new entry to the ALTO Domain Entity Type Registry, asinstructed by Section 12.2 of[I-D.ietf-alto-unified-props-new]. The new entryis as shown below inTable 3.

Table 3:ALTO Entity Domain Type Registry
IdentifierEntity Identifier EncodingHierarchy & InheritanceMedia Type of Defining ResoucrceMapping to ALTO Address Type
aneSeeSection 6.2.2Noneapplication/alto-propmap+jsonfalse
Identifier:

SeeSection 6.2.1.

Entity Identifier Encoding:

SeeSection 6.2.2.

Hierarchy:

None

Inheritance:

None

Media Type of Defining Resource:

SeeSection 6.2.4.

Mapping to ALTO Address Type:

This entity type does not map to ALTO address type.

Security Considerations:

In some usage scenarios, ANE addresses carried in ALTO Protocol messages mayreveal information about an ALTO client or an ALTO service provider.Applications and ALTO service providers using addresses of ANEs will be madeaware of how (or if) the addressing scheme relates to private information andnetwork proximity, in further iterations of this document.

12.4.ALTO Entity Property Type Registry

Two initial entries "max-reservable-bandwidth" and "persistent-entity-id" areregistered to the ALTO Domain "ane" in the "ALTO Entity Property Type Registry",as instructed by Section 12.3 of[I-D.ietf-alto-unified-props-new]. The twonew entries are shown below inTable 4 and their details can befound inSection 12.4.1 andSection 12.4.2.

Table 4:Initial Entries for ane Domain in the ALTO Entity Property Types Registry
IdentifierIntended SemanticsMedia Type of Defining Resource
max-reservable-bandwidthSeeSection 6.4.1application/alto-propmap+json
persistent-entity-idSeeSection 6.4.2application/alto-propmap+json

12.4.1.New ANE Property Type: Maximum Reservable Bandwidth

Identifier:

"max-reservable-bandwidth"

Intended Semantics:

SeeSection 6.4.1.

Media Type of Defining Resource:

application/alto-propmap+json

Security Considerations:

This property is essential for applications such as large-scale datatransfers or overlay network interconnection to make better choice ofbandwidth reservation. It may reveal the bandwidth usage of the underlyingnetwork and can potentially be leveraged to reduce the cost of conductingdenial-of-service attacks. Thus, the ALTO server MUST consider protectionmechanisms including only providing the information to authorized clients, andinformation reduction and obfuscation as introduced inSection 11.

12.4.2.New ANE Property Type: Persistent Entity ID

Identifier:

"persistent-entity-id"

Intended Semantics:

SeeSection 6.4.2.

Media Type of Defining Resource:

application/alto-propmap+json

Security Considerations:

This property is useful when an ALTO server wants to selectively exposecertain service points whose detailed properties can be further queried byapplications. The entity IDs may consider sensitive information about theunderlying network, and an ALTO server should follow the securityconsiderations in Section 11 of[I-D.ietf-alto-unified-props-new].

13.References

13.1.Normative References

[I-D.bw-alto-cost-mode]
Boucadair, M. andQ. Wu,"A Cost Mode Registry for the Application-Layer Traffic Optimization (ALTO) Protocol",Work in Progress,Internet-Draft, draft-bw-alto-cost-mode-01,,<https://datatracker.ietf.org/doc/html/draft-bw-alto-cost-mode-01>.
[I-D.ietf-alto-unified-props-new]
Roome, W.,Randriamasy, S.,Yang, Y. R.,Zhang, J. J., andK. Gao,"An ALTO Extension: Entity Property Maps",Work in Progress,Internet-Draft, draft-ietf-alto-unified-props-new-24,,<https://datatracker.ietf.org/doc/html/draft-ietf-alto-unified-props-new-24>.
[RFC2046]
Freed, N. andN. Borenstein,"Multipurpose Internet Mail Extensions (MIME) Part Two: Media Types",RFC 2046,DOI 10.17487/RFC2046,,<https://www.rfc-editor.org/rfc/rfc2046>.
[RFC2119]
Bradner, S.,"Key words for use in RFCs to Indicate Requirement Levels",BCP 14,RFC 2119,DOI 10.17487/RFC2119,,<https://www.rfc-editor.org/rfc/rfc2119>.
[RFC2387]
Levinson, E.,"The MIME Multipart/Related Content-type",RFC 2387,DOI 10.17487/RFC2387,,<https://www.rfc-editor.org/rfc/rfc2387>.
[RFC5322]
Resnick, P., Ed.,"Internet Message Format",RFC 5322,DOI 10.17487/RFC5322,,<https://www.rfc-editor.org/rfc/rfc5322>.
[RFC7285]
Alimi, R., Ed.,Penno, R., Ed.,Yang, Y., Ed.,Kiesel, S.,Previdi, S.,Roome, W.,Shalunov, S., andR. Woundy,"Application-Layer Traffic Optimization (ALTO) Protocol",RFC 7285,DOI 10.17487/RFC7285,,<https://www.rfc-editor.org/rfc/rfc7285>.
[RFC8174]
Leiba, B.,"Ambiguity of Uppercase vs Lowercase in RFC 2119 Key Words",BCP 14,RFC 8174,DOI 10.17487/RFC8174,,<https://www.rfc-editor.org/rfc/rfc8174>.
[RFC8189]
Randriamasy, S.,Roome, W., andN. Schwan,"Multi-Cost Application-Layer Traffic Optimization (ALTO)",RFC 8189,DOI 10.17487/RFC8189,,<https://www.rfc-editor.org/rfc/rfc8189>.
[RFC8895]
Roome, W. andY. Yang,"Application-Layer Traffic Optimization (ALTO) Incremental Updates Using Server-Sent Events (SSE)",RFC 8895,DOI 10.17487/RFC8895,,<https://www.rfc-editor.org/rfc/rfc8895>.
[RFC8896]
Randriamasy, S.,Yang, R.,Wu, Q.,Deng, L., andN. Schwan,"Application-Layer Traffic Optimization (ALTO) Cost Calendar",RFC 8896,DOI 10.17487/RFC8896,,<https://www.rfc-editor.org/rfc/rfc8896>.

13.2.Informative References

[BONDY]
Bondy, J.A. andR.L. Hemminger,"Graph reconstruction—a survey",Journal of Graph Theory, Volume 1, Issue 3, pp 227-268,,<https://doi.org/10.1002/jgt.3190010306>.
[BOXOPT]
Xiang, Q.,Yu, H.,Aspnes, J.,Le, F.,Kong, L., andY.R. Yang,"Optimizing in the dark: Learning an optimal solution through a simple request interface",Proceedings of the AAAI Conference on Artificial Intelligence 33, 1674-1681,,<https://doi.org/10.1609/aaai.v33i01.33011674>.
[CLARINET]
Viswanathan, R.,Ananthanarayanan, G., andA. Akella,"CLARINET: WAN-Aware Optimization for Analytics Queries",In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), USENIX Association, Savannah, GA, 435-450,,<https://dl.acm.org/doi/abs/10.5555/3026877.3026911>.
[G2]
Ros-Giralt, J.,Bohara, A.,Yellamraju, S.,Langston, M.H.,Lethin, R.,Jiang, Y.,Tassiulas, L.,Li, J.,Tan, Y., andM. Veeraraghavan,"On the Bottleneck Structure of Congestion-Controlled Networks",Proceedings of the ACM on Measurement and Analysis of Computing Systems, Volume 3, Issue 3, pp 1-31,,<https://dl.acm.org/doi/10.1145/3366707>.
[HUG]
Chowdhury, M.,Liu, Z.,Ghodsi, A., andI. Stoica,"HUG: Multi-Resource Fairness for Correlated and Elastic Demands",13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16) (Santa Clara, CA, 2016), 407-424.,,<https://dl.acm.org/doi/10.5555/2930611.2930638>.
[I-D.ietf-alto-performance-metrics]
Wu, Q.,Yang, Y. R.,Lee, Y.,Dhody, D.,Randriamasy, S., andL. M. C. Murillo,"ALTO Performance Cost Metrics",Work in Progress,Internet-Draft, draft-ietf-alto-performance-metrics-26,,<https://datatracker.ietf.org/doc/html/draft-ietf-alto-performance-metrics-26>.
[I-D.ietf-httpbis-http2bis]
Thomson, M. andC. Benfield,"HTTP/2",Work in Progress,Internet-Draft, draft-ietf-httpbis-http2bis-07,,<https://datatracker.ietf.org/doc/html/draft-ietf-httpbis-http2bis-07>.
[I-D.ietf-quic-http]
Bishop, M.,"Hypertext Transfer Protocol Version 3 (HTTP/3)",Work in Progress,Internet-Draft, draft-ietf-quic-http-34,,<https://datatracker.ietf.org/doc/html/draft-ietf-quic-http-34>.
[JSONiq]
"The JSON Query language",,<https://www.jsoniq.org/>.
[MERCATOR]
Xiang, Q.,Zhang, J.,Wang, X.,Liu, Y.,Guok, C.,Le, F.,MacAuley, J.,Newman, H., andY.R. Yang,"Toward Fine-Grained, Privacy-Preserving, Efficient Multi-Domain Network Resource Discovery",IEEE/ACM IEEE Journal on Selected Areas of Communication 37(8): 1924-1940,,<https://doi.org/10.1109/JSAC.2019.2927073>.
[MOWIE]
Zhang, Y.,Li, G.,Xiong, C.,Lei, Y.,Huang, W.,Han, Y.,Walid, A.,Yang, Y.R., andZ. Zhang,"MoWIE: Toward Systematic, Adaptive Network Information Exposure as an Enabling Technique for Cloud-Based Applications over 5G and Beyond",In Proceedings of the Workshop on Network Application Integration/CoDesign, ACM, Virtual Event USA, 20-27.,,<https://doi.org/10.1145/3405672.3409489>.
[NOVA]
Gao, K.,Xiang, Q.,Wang, X.,Yang, Y.R., andJ. Bi,"An objective-driven on-demand network abstraction for adaptive applications",IEEE/ACM Transactions on Networking (TON) Vol 27, no. 2 (2019): 805-818.,,<https://doi.org/10.1109/IWQoS.2017.7969117>.
[RESA]
Xiang, Q.,Zhang, J.,Wang, X.,Liu, Y.,Guok, C.,Le, F.,MacAuley, J.,Newman, H., andY.R. Yang,"Fine-grained, multi-domain network resource abstraction as a fundamental primitive to enable high-performance, collaborative data sciences",Proceedings of the Super Computing 2018, 5:1-5:13,,<https://doi.org/10.1109/SC.2018.00008>.
[RFC2216]
Shenker, S. andJ. Wroclawski,"Network Element Service Specification Template",RFC 2216,DOI 10.17487/RFC2216,,<https://www.rfc-editor.org/rfc/rfc2216>.
[RFC4271]
Rekhter, Y., Ed.,Li, T., Ed., andS. Hares, Ed.,"A Border Gateway Protocol 4 (BGP-4)",RFC 4271,DOI 10.17487/RFC4271,,<https://www.rfc-editor.org/rfc/rfc4271>.
[SENSE]
"Software Defined Networking (SDN) for End-to-End Networked Science at the Exascale",,<https://www.es.net/network-r-and-d/sense/>.
[SEREDGE]
Contreras, L.,Baliosian, J.,Martı́nez-Julia, P., andJ. Serrat,"Computing at the Edge: But, what Edge?",In proceedings of the NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium. pp. 1-9.,,<https://doi.org/10.1109/NOMS47738.2020.9110342>.
[SWAN]
Hong, C.,Kandula, S.,Mahajan, R.,Zhang, M.,Gill, V.,Nanduri, M., andR. Wattenhofer,"Achieving High Utilization with Software-driven WAN",In Proceedings of the ACM SIGCOMM 2013 Conference on SIGCOMM (SIGCOMM '13), ACM, New York, NY, USA, 15-26.,,<http://doi.acm.org/10.1145/2486001.2486012>.
[UNICORN]
Xiang, Q.,Chen, S.,Gao, K.,Newman, H.,Taylor, I.,Zhang, J., andY.R. Yang,"Unicorn: Unified Resource Orchestration for Multi-Domain, Geo-Distributed Data Analytics",2017 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computed, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (Aug. 2017), 1-6.,,<https://doi.org/10.1016/j.future.2018.09.048>.
[XQuery]
"XQuery 3.1: An XML Query Language",,<https://www.w3.org/TR/xquery-31/>.

Appendix A.Acknowledgments

The authors would like to thank discussions with Andreas Voellmy, Erran Li,Haibin Song, Haizhou Du, Jiayuan Hu, Qiao Xiang, Tianyuan Liu, Xiao Shi, XinWang, and Yan Luo. The authors thank Greg Bernstein, Dawn Chen, Wendy Roome, andMichael Scharf for their contributions to earlier drafts.

The authors would also like to thank Tim Chown, Luis Contreras, Roman Danyliw,Benjamin Kaduk, Erik Kline, Suresh Krishnan, Murray Kucherawy, Warren Kumari,Danny Lachos, Francesca Palombini, Eric Vyncke, Samuel Weiler, and Qiao Xiangwhose feedback and suggestions are invaluable to improve the practicability andconciseness of this document, and Mohamed Boucadair, Martin Duke, Vijay Gurbani,Jan Seedorf, and Qin Wu who provide great support and guidance.

Appendix B.Revision Logs (To be removed before publication)

B.1.Changes since -20

Reivision -21

  • changes the normative requirement on protecting confidentiality of PVinformation with softer language

B.2.Changes since -19

Revision -20

  • changes the IANA registry information
  • adopts the comments from IESG reviews

B.3.Changes since -18

Revision -19

  • adds detailed examples for use cases
  • clarify terms with ambiguous meanings

B.4.Changes since -17

Revision -18

  • changes the specification for content-id to conform to[RFC2387] and[RFC5322]
  • adds IPv6 examples

B.5.Changes since -16

Revision -17

  • adds items for media type of defining resources in IANA considerations

B.6.Changes since -15

Revision -16

  • resolves the compatibility with the Multi-Cost extension (RFC 8189)
  • adds media types of defining resources for ANE property types (for IANAregistration)

B.7.Changes since -14

Revision -15

  • fixes the IDNits warnings,
  • fixes grammar issues,
  • addresses the comments in the AD review.

B.8.Changes since -13

Revision -14

  • addresses the comments in the chair review,
  • fixes most issues raised by IDNits.

B.9.Changes since -12

Revision -13

  • changes the abstract based on the chairs' reviews
  • integrates Richard's responds to WGLC reviews

B.10.Changes since -11

Revision -12

  • clarifies the definition of ANEs in a similar way as how Network Elements isdefined in[RFC2216]
  • restructures several paragraphs that are not clear (Sec 3, Path Vector bullet, Sec 4.2, Sec 5.1.3, Sec 6.2.4, Sec 6.4.2, Sec 9.3)
  • uses "ALTO Entity Domain Type Registry"

B.11.Changes since -10

Revision -11

  • replaces "part" with "components" in the abstract;
  • identifies additional requirements (AR) derived from the flow schedulingexample, and introduces how the extension addresses the additionalrequirements
  • fixes the inconsistent use of "start" parameter in multipart responses;
  • specifies explicitly how to handle "cost-constraints";
  • uses the latest IANA registration mechanism defined in[I-D.ietf-alto-unified-props-new];
  • renames "persistent-entities" to "persistent-entity-id";
  • makes "application/alto-propmap+json" as the media type of defining resourcesfor the "ane" domain;
  • updates the examples;
  • adds the discussion on ephemeral and persistent ANEs.

B.12.Changes since -09

Revision -10

  • revises the introduction which

    • extends the scope where the PV extension can be applied beyond the "pathcorrelation" information
  • brings back the capacity region use case to better illustrate the problem
  • revises the overview to explain and defend the concepts and decision choices
  • fixes inconsistent terms, typos

B.13.Changes since -08

This revision

  • fixes a few spelling errors
  • emphasizes that abstract network elements can be generated on demand in bothintroduction and motivating use cases

B.14.Changes Since Version -06

  • We emphasize the importance of the path vector extension in two aspects:

    1. It expands the problem space that can be solved by ALTO, from preferencesof network paths to correlations of network paths.
    2. It is motivated by new usage scenarios from both application's andnetwork's perspectives.
  • More use cases are included, in addition to the original capacity region usecase.
  • We add more discussions to fully explore the design space of the path vectorextension and justify our design decisions, including the concept of abstractnetwork element, cost type (reverted to -05), newer capabilities and themultipart message.
  • Fix the incremental update process to be compatible with SSE -16 draft, whichuses client-id instead of resource-id to demultiplex updates.
  • Register an additional ANE property (i.e., persistent-entities) to cover alluse cases mentioned in the draft.

Authors' Addresses

Kai Gao
Sichuan University
No.24 South Section 1, Yihuan Road
Chengdu
610000
China
Young Lee
Samsung
South Korea
Sabine Randriamasy
Nokia Bell Labs
Route de Villejust
91460Nozay
France
Yang Richard Yang
Yale University
51 Prospect Street
New Haven,CT
United States of America
Jingxuan Jensen Zhang
Tongji University
4800 Caoan Road
Shanghai
201804
China
Datatracker

draft-ietf-alto-path-vector-25

This is an older version of an Internet-Draft that was ultimately published asRFC 9275.

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