Internet Engineering Task Force (IETF)                  G. Fioccola, Ed.
Request for Comments: 8889                           Huawei Technologies
Category: Experimental                                       M. Cociglio
ISSN: 2070-1721                                           Telecom Italia
                                                                A. Sapio
                                                       Intel Corporation
                                                                R. Sisto
                                                   Politecnico di Torino
                                                             August 2020

Multipoint Alternate-Marking Method for Passive and Hybrid Performance Monitoring




The Alternate-Marking method, as presented in RFC 8321, can only be applied to point-to-point flows, because it assumes that all the packets of the flow measured on one node are measured again by a single second node. This document generalizes and expands this methodology to measure any kind of unicast flow whose packets can follow several different paths in the network -- in wider terms, a multipoint-to-multipoint network. For this reason, the technique here described is called "Multipoint Alternate Marking".

RFC 8321に提示された代替マーキング方法は、1つのノード上で測定された全てのパケットが単一の第2のノードによって再び測定されることを前提としているので、ポイントツーポイントフローにのみ適用することができる。この文書では、この方法論を一般化して拡張して、パケットがネットワーク内の複数の異なるパスに従うことができる任意の種類のユニキャストフローを測定します - より広い条件では、マルチポイントツーマルチポイントネットワークです。このため、ここで説明した技術は「多地点代替マーキング」と呼ばれる。

Status of This Memo


This document is not an Internet Standards Track specification; it is published for examination, experimental implementation, and evaluation.


This document defines an Experimental Protocol for the Internet community. This document is a product of the Internet Engineering Task Force (IETF). It represents the consensus of the IETF community. It has received public review and has been approved for publication by the Internet Engineering Steering Group (IESG). Not all documents approved by the IESG are candidates for any level of Internet Standard; see Section 2 of RFC 7841.

この文書は、インターネットコミュニティの実験的プロトコルを定義しています。この文書は、インターネットエンジニアリングタスクフォース(IETF)の製品です。IETFコミュニティのコンセンサスを表します。それは公開レビューを受け、インターネットエンジニアリングステアリンググループ(IESG)による出版の承認を受けました。IESGによって承認されたすべての文書がすべてのレベルのインターネット規格の候補者ではありません。RFC 7841のセクション2を参照してください。

Information about the current status of this document, any errata, and how to provide feedback on it may be obtained at


Copyright Notice


Copyright (c) 2020 IETF Trust and the persons identified as the document authors. All rights reserved.

Copyright(C)2020 IETFの信頼と文書著者として識別された人。全著作権所有。

This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents ( 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 Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.

このドキュメントは、このドキュメントの発行日に有効なBCP 78およびIETFドキュメントに関連するIETFトラストの法的規定(の対象となります。 これらのドキュメントは、このドキュメントに関するお客様の権利と制限について説明しているため、注意深く確認してください。 このドキュメントから抽出されたコードコンポーネントには、Trust LegalProvisionsのセクション4.eで説明されているSimplifiedBSD Licenseテキストが含まれている必要があり、Simplified BSDLicenseで説明されているように保証なしで提供されます。

Table of Contents


   1.  Introduction
   2.  Terminology
     2.1.  Correlation with RFC 5644
   3.  Flow Classification
   4.  Multipoint Performance Measurement
     4.1.  Monitoring Network
   5.  Multipoint Packet Loss
   6.  Network Clustering
     6.1.  Algorithm for Clusters Partition
   7.  Timing Aspects
   8.  Multipoint Delay and Delay Variation
     8.1.  Delay Measurements on a Multipoint-Paths Basis
       8.1.1.  Single-Marking Measurement
     8.2.  Delay Measurements on a Single-Packet Basis
       8.2.1.  Single- and Double-Marking Measurement
       8.2.2.  Hashing Selection Method
   9.  A Closed-Loop Performance-Management Approach
   10. Examples of Application
   11. Security Considerations
   12. IANA Considerations
   13. References
     13.1.  Normative References
     13.2.  Informative References
   Authors' Addresses
1. Introduction
1. はじめに

The Alternate-Marking method, as described in RFC 8321 [RFC8321], is applicable to a point-to-point path. The extension proposed in this document applies to the most general case of multipoint-to-multipoint path and enables flexible and adaptive performance measurements in a managed network.

RFC 8321 [RFC8321]に記載されているように、代替マーキング方法は、ポイントツーポイントパスに適用可能です。この文書で提案されている延長は、マルチポイントツーマルチポイントパスの最も一般的な場合に適用され、管理ネットワークで柔軟で適応的な性能測定を可能にします。

The Alternate-Marking methodology described in RFC 8321 [RFC8321] allows the synchronization of the measurements in different points by dividing the packet flow into batches. So it is possible to get coherent counters and show what is happening in every marking period for each monitored flow. The monitoring parameters are the packet counter and timestamps of a flow for each marking period. Note that additional details about the applicability of the Alternate-Marking methodology are described in RFC 8321 [RFC8321] while implementation details can be found in the paper "AM-PM: Efficient Network Telemetry using Alternate Marking" [IEEE-Network-PNPM].

RFC 8321 [RFC8321]に記載されている代替マーキング方法は、パケットの流れをバッチに分割することによって測定値の同期を可能にします。したがって、コヒーレントなカウンターを取得し、監視された各フローについてすべてのマーキング期間で何が起こっているのかを示すことが可能です。監視パラメータは、各マーキング期間のフローのパケットカウンタおよびタイムスタンプである。代替マーキング方法論の適用可能性に関する追加の詳細はRFC 8321 [RFC8321]に記載されていますが、実装の詳細は「AM-PM:代替マーキングを使用した効率的なネットワークテレメトリ」[IEEE-NOTWORK-PNPM]に記載されています。

There are some applications of the Alternate-Marking method where there are a lot of monitored flows and nodes. Multipoint Alternate Marking aims to reduce these values and makes the performance monitoring more flexible in case a detailed analysis is not needed. For instance, by considering n measurement points and m monitored flows, the order of magnitude of the packet counters for each time interval is n*m*2 (1 per color). The number of measurement points and monitored flows may vary and depends on the portion of the network we are monitoring (core network, metro network, access network) and the granularity (for each service, each customer). So if both n and m are high values, the packet counters increase a lot, and Multipoint Alternate Marking offers a tool to control these parameters.

監視されたフローとノードの多くがある代替マーキング方法のアプリケーションはいくつかあります。多点の代替マーキングは、これらの値を減らすことを目的とし、詳細な分析が不要な場合には、パフォーマンス監視をより柔軟にします。例えば、N個の測定点とM監視流量を考慮すると、各時間間隔についてのパケットカウンタの大きさの順序はN * M * 2(1色あたり1)である。測定点および監視されたフローの数は変化してもよく、ネットワークの一部に依存しており、監視(コアネットワーク、メトロネットワーク、アクセスネットワーク)、および粒度(各サービスの各顧客)に依存します。そのため、NとMの両方が高い値である場合、パケットカウンタはロットを増やし、マルチポイント代替マーキングはこれらのパラメータを制御するためのツールを提供します。

The approach presented in this document is applied only to unicast flows and not to multicast. Broadcast, Unknown Unicast, and Multicast (BUM) traffic is not considered here, because traffic replication is not covered by the Multipoint Alternate-Marking method. Furthermore, it can be applicable to anycast flows, and Equal-Cost Multipath (ECMP) paths can also be easily monitored with this technique.


In short, RFC 8321 [RFC8321] applies to point-to-point unicast flows and BUM traffic, while this document and its Clustered Alternate-Marking method is valid for multipoint-to-multipoint unicast flows, anycast, and ECMP flows.

つまり、RFC 8321 [RFC8321]は、ポイントツーポイントユニキャストフローとBUMトラフィックに適用されますが、このドキュメントとそのクラスタ化された代替マーキングメソッドは、マルチポイントツーマルチポイントのユニキャストフロー、Anycast、およびECMPフローに有効です。

Therefore,the Alternate-Marking method can be extended to any kind of multipoint-to-multipoint paths, and the network-clustering approach presented in this document is the formalization of how to implement this property and allow a flexible and optimized performance measurement support for network management in every situation.


Without network clustering, it is possible to apply Alternate Marking only for all the network or per single flow. Instead, with network clustering, it is possible to use the partition of the network into clusters at different levels in order to perform the needed degree of detail. In some circumstances, it is possible to monitor a multipoint network by analyzing the network clustering, without examining in depth. In case of problems (packet loss is measured or the delay is too high), the filtering criteria could be specified more in order to perform a detailed analysis by using a different combination of clusters up to a per-flow measurement as described in RFC 8321 [RFC8321].

ネットワーククラスタリングなしでは、すべてのネットワークまたは単一のフローごとにのみ代替マーキングを適用することが可能です。代わりに、ネットワーククラスタリングでは、必要な詳細度を実行するために、ネットワークのパーティションを異なるレベルでクラスタに使用することが可能です。状況によっては、深さを調べることなく、ネットワーククラスタリングを分析することによってマルチポイントネットワークを監視することが可能です。問題がある場合(パケット損失が測定されるか遅延が高すぎる)、RFC 8321に記載されているように、フローごとの測定値の異なる組み合わせを使用することによって詳細な分析を実行するために、フィルタリング基準をより指定することができます。[RFC8321]。

This approach fits very well with the Closed-Loop Network and Software-Defined Network (SDN) paradigm, where the SDN orchestrator and the SDN controllers are the brains of the network and can manage flow control to the switches and routers and, in the same way, can calibrate the performance measurements depending on the desired accuracy. An SDN controller application can orchestrate how accurately the network performance monitoring is set up by applying the Multipoint Alternate Marking as described in this document.

このアプローチは、SDN OrchestratorとSDNコントローラがネットワークの脳であり、スイッチやルータへのフロー制御を管理でき、スイッチやルーターへのフロー制御を管理でき、同じで、スイッチとルータへのフロー制御を管理できます。方法は、所望の精度に応じて性能測定値を較正することができる。この文書に記載されているように、マルチポイント代替マーキングを適用することによって、ネットワークパフォーマンスの監視がどの程度正確に設定されているSDNコントローラアプリケーションがどのようにしてどのように設定されています。

It is important to underline that, as an extension of RFC 8321 [RFC8321], this is a methodology document, so the mechanism that can be used to transmit the counters and the timestamps is out of scope here, and the implementation is open. Several options are possible -- e.g., see "Enhanced Alternate Marking Method" [ENHANCED-ALTERNATE-MARKING].

RFC 8321 [RFC8321]の拡張として、これが方法論文書であるため、ここで使用できるメカニズムはここでは範囲外であり、実装は開いています。いくつかの選択肢が可能である。例えば、「強化代替マーキング方法」[強化代替マーキング]を参照のこと。

Note that the fragmented packets case can be managed with the Alternate-Marking methodology only if fragmentation happens outside the portion of the network that is monitored. This is always true for both RFC 8321 [RFC8321] and Multipoint Alternate Marking, as explained here.

断片化されたパケットの場合は、断片化が監視されているネットワークの部分の外側の外側で断片化が発生した場合にのみ、代替マーキング方法論で管理できます。ここで説明したように、これはRFC 8321 [RFC8321]とマルチポイント代替マーキングの両方に常に当てはまります。

2. Terminology
2. 用語

The definitions of the basic terms are identical to those found in Alternate Marking [RFC8321]. It is to be remembered that RFC 8321 [RFC8321] is valid for point-to-point unicast flows and BUM traffic.

基本用語の定義は、代替マーキングで見つかったものと同じです[RFC8321]。RFC 8321 [RFC8321]は、ポイントツーポイントユニキャストフローとBUMトラフィックに有効であることを思い出してください。

The important new terms that need to be explained are listed below:


Multipoint Alternate Marking: Extension to RFC 8321 [RFC8321], valid for multipoint-to-multipoint unicast flows, anycast, and ECMP flows. It can also be referred to as Clustered Alternate Marking.

マルチポイントの代替マーキング:RFC 8321 [RFC8321]への拡張、マルチポイント間ユニキャストフロー、Anycast、およびECMPフローに有効です。クラスタ化された代替マーキングとも呼ばれます。

Flow definition: The concept of flow is generalized in this document. The identification fields are selected without any constraints and, in general, the flow can be a multipoint-to-multipoint flow, as a result of aggregate point-to-point flows.


Monitoring network: Identified with the nodes of the network that are the measurement points (MPs) and the links that are the connections between MPs. The monitoring network graph depends on the flow definition, so it can represent a specific flow or the entire network topology as aggregate of all the flows.


Cluster: Smallest identifiable subnetwork of the entire monitoring network graph that still satisfies the condition that the number of packets that go in is the same as the number that go out.


Multipoint metrics: Packet loss, delay, and delay variation are extended to the case of multipoint flows. It is possible to compute these metrics on the basis of multipoint paths in order to associate the measurements to a cluster, a combination of clusters, or the entire monitored network. For delay and delay variation, it is also possible to define the metrics on a single-packet basis, and it means that the multipoint path is used to easily couple packets between input and output nodes of a multipoint path.


The next section highlights the correlation with the terms used in RFC 5644 [RFC5644].

次のセクションでは、RFC 5644 [RFC5644]で使用されている用語との相関関係を強調表示します。

2.1. Correlation with RFC 5644
2.1. RFC 5644との相関

RFC 5644 [RFC5644] is limited to active measurements using a single source packet or stream. Its scope is also limited to observations of corresponding packets along the path (spatial metric) and at one or more destinations (one-to-group) along the path.

RFC 5644 [RFC5644]は、単一のソースパケットまたはストリームを使用したアクティブな測定に制限されています。その範囲はまた、経路に沿った対応するパケットの観察(空間メトリック)および経路に沿った1つまたは複数の目的地(1つまたは複数)の観察に限定される。

Instead, the scope of this memo is to define multiparty metrics for passive and hybrid measurements in a group-to-group topology with multiple sources and destinations.


RFC 5644 [RFC5644] introduces metric names that can be reused here but have to be extended and rephrased to be applied to the Alternate-Marking schema:

RFC 5644 [RFC5644]はここで再利用できるメトリック名を導入しますが、代替マーキングスキーマに適用されるように拡張および再フードする必要があります。

a. the multiparty metrics are not only one-to-group metrics but can be also group-to-group metrics;

a. マルチパーティメトリックは1対グループのメトリックだけでなく、グループ間メトリックも可能です。

b. the spatial metrics, used for measuring the performance of segments of a source to destination path, are applied here to group-to-group segments (called clusters).

b. ソースパスから宛先パスへのセグメントの性能を測定するために使用される空間メトリックは、グループ間セグメント(クラスタと呼ばれる)に適用されます。

3. Flow Classification
3. フロー分類

A unicast flow is identified by all the packets having a set of common characteristics. This definition is inspired by RFC 7011 [RFC7011].

ユニキャストフローは、一連の共通特性を有するすべてのパケットによって識別される。この定義はRFC 7011 [RFC7011]に触発されています。

As an example, by considering a flow as all the packets sharing the same source IP address or the same destination IP address, it is easy to understand that the resulting pattern will not be a point-to-point connection, but a point-to-multipoint or multipoint-to-point connection.

一例として、同じ送信元IPアドレスまたは同じ宛先IPアドレスを共有するすべてのパケットとしてのフローを考慮することによって、結果のパターンがポイントツーポイント接続ではなくポイントツーではないことを理解しやすいことです。 - マルチポインポイントまたはマルチポイントツーポイント接続。

In general, a flow can be defined by a set of selection rules used to match a subset of the packets processed by the network device. These rules specify a set of Layer 3 and Layer 4 header fields (identification fields) and the relative values that must be found in matching packets.


The choice of the identification fields directly affects the type of paths that the flow would follow in the network. In fact, it is possible to relate a set of identification fields with the pattern of the resulting graphs, as listed in Figure 1.


A TCP 5-tuple usually identifies flows following either a single path or a point-to-point multipath (in the case of load balancing). On the contrary, a single source address selects aggregate flows following a point-to-multipoint, while a multipoint-to-point can be the result of a matching on a single destination address. In the case where a selection rule and its reverse are used for bidirectional measurements, they can correspond to a point-to-multipoint in one direction and a multipoint-to-point in the opposite direction.

TCP 5-Tupleは通常、単一のパスまたはポイントツーポイントマルチパスのいずれかに続くフローを識別します(ロードバランシングの場合)。逆に、単一の送信元アドレスは、ポイントツーマルチポイントに従って集約フローを選択し、一方、マルチポイントツーポイントは単一の宛先アドレスを一致させることの結果であり得る。選択規則とその逆方向の双方向測定に使用される場合、それらは一方向のポイントツーマルチポイントと反対方向の多点線に対応することができます。

So the flows to be monitored are selected into the monitoring points using packet selection rules, which can also change the pattern of the monitored network.


Note that, more generally, the flow can be defined at different levels based on the potential encapsulation, and additional conditions that are not in the packet header can also be included as part of matching criteria.


The Alternate-Marking method is applicable only to a single path (and partially to a one-to-one multipath), so the extension proposed in this document is suitable also for the most general case of multipoint-to-multipoint, which embraces all the other patterns of Figure 1.


          point-to-point single path
              +------+      +------+      +------+
          ---<>  R1  <>----<>  R2  <>----<>  R3  <>---
              +------+      +------+      +------+
          point-to-point multipath
                          <>  R2  <>
                         / +------+ \
                        /            \
              +------+ /              \ +------+
          ---<>  R1  <>                <>  R4  <>---
              +------+ \              / +------+
                        \            /
                         \ +------+ /
                          <>  R3  <>
                                     <>  R4  <>---
                                    / +------+
                          +------+ /
                         <>  R2  <>
                        / +------+ \
              +------+ /            \ +------+
          ---<>  R1  <>              <>  R5  <>---
              +------+ \              +------+
                        \ +------+
                         <>  R3  <>
                          +------+ \
                                    \ +------+
                                     <>  R6  <>---
          ---<>  R1  <>
              +------+ \
                        \ +------+
                        <>  R4  <>
                        / +------+ \
              +------+ /            \ +------+
          ---<>  R2  <>              <>  R6  <>---
              +------+              / +------+
                          +------+ /
                         <>  R5  <>
                        / +------+
              +------+ /
          ---<>  R3  <>
              +------+                +------+
          ---<>  R1  <>              <>  R6  <>---
              +------+ \            / +------+
                        \ +------+ /
                         <>  R4  <>
                          +------+ \
              +------+              \ +------+
          ---<>  R2  <>             <>  R7  <>---
              +------+ \            / +------+
                        \ +------+ /
                         <>  R5  <>
                        / +------+ \
              +------+ /            \ +------+
          ---<>  R3  <>              <>  R8  <>---
              +------+                +------+

Figure 1: Flow Classification


The case of unicast flow is considered in Figure 1. The anycast flow is also in scope, because there is no replication and only a single node from the anycast group receives the traffic, so it can be viewed as a special case of unicast flow. Furthermore, an ECMP flow is in scope by definition, since it is a point-to-multipoint unicast flow.


4. Multipoint Performance Measurement
4. 多点パフォーマンス測定

By using the Alternate-Marking method, only point-to-point paths can be monitored. To have an IP (TCP/UDP) flow that follows a point-to-point path, we have to define, with a specific value, 5 identification fields (IP Source, IP Destination, Transport Protocol, Source Port, Destination Port).

代替マーキング方法を使用すると、ポイントツーポイントパスのみを監視できます。ポイントツーポイントパスに続くIP(TCP / UDP)フローを持つことは、特定の値、5識別フィールド(IPソース、IP宛先、トランスポートプロトコル、送信先ポート)で定義する必要があります。

Multipoint Alternate Marking enables the performance measurement for multipoint flows selected by identification fields without any constraints (even the entire network production traffic). It is also possible to use multiple marking points for the same monitored flow.


4.1. Monitoring Network
4.1. 監視ネットワーク

The monitoring network is deduced from the production network by identifying the nodes of the graph that are the measurement points, and the links that are the connections between measurement points.


There are some techniques that can help with the building of the monitoring network (as an example, see [ROUTE-ASSESSMENT]). In general, there are different options: the monitoring network can be obtained by considering all the possible paths for the traffic or periodically checking the traffic (e.g. daily, weekly, monthly) and updating the graph as appropriate, but this is up to the Network Management System (NMS) configuration.


So a graph model of the monitoring network can be built according to the Alternate-Marking method: the monitored interfaces and links are identified. Only the measurement points and links where the traffic has flowed have to be represented in the graph.


Figure 2 shows a simple example of a monitoring network graph:


                                                   <>  R6  <>---
                                                  / +------+
                           +------+     +------+ /
                          <>  R2  <>---<>  R4  <>
                         / +------+ \   +------+ \
                        /            \            \ +------+
              +------+ /   +------+   \ +------+   <>  R7  <>---
          ---<>  R1  <>---<>  R3  <>---<>  R5  <>   +------+
              +------+ \   +------+ \   +------+ \
                        \            \            \ +------+
                         \            \            <>  R8  <>---
                          \            \            +------+
                           \            \
                            \            \ +------+
                             \            <>  R9  <>---
                              \            +------+
                                \ +------+
                                 <>  R10 <>---

Figure 2: Monitoring Network Graph


Each monitoring point is characterized by the packet counter that refers only to a marking period of the monitored flow.


The same is also applicable for the delay, but it will be described in the following sections.


5. Multipoint Packet Loss
5. マルチポイントパケットの損失

Since all the packets of the considered flow leaving the network have previously entered the network, the number of packets counted by all the input nodes is always greater than, or equal to, the number of packets counted by all the output nodes. Noninitial fragments are not considered here.


The assumption is the use of the Alternate-Marking method. In the case of no packet loss occurring in the marking period, if all the input and output points of the network domain to be monitored are measurement points, the sum of the number of packets on all the ingress interfaces equals the number on egress interfaces for the monitored flow. In this circumstance, if no packet loss occurs, the intermediate measurement points only have the task of splitting the measurement.


It is possible to define the Network Packet Loss of one monitored flow for a single period. In a packet network, the number of lost packets is the number of packets counted by the input nodes minus the number of packets counted by the output nodes. This is true for every packet flow in each marking period.


The monitored network packet loss with n input nodes and m output nodes is given by:


   PL = (PI1 + PI2 +...+ PIn) - (PO1 + PO2 +...+ POm)



PL is the network packet loss (number of lost packets)


PIi is the number of packets flowed through the i-th input node in this period


POj is the number of packets flowed through the j-th output node in this period


The equation is applied on a per-time-interval basis and a per-flow basis:


The reference interval is the Alternate-Marking period, as defined in RFC 8321 [RFC8321].

基準間隔は、RFC 8321 [RFC8321]で定義されている代替マーキング期間です。

The flow definition is generalized here. Indeed, as described before, a multipoint packet flow is considered, and the identification fields can be selected without any constraints.


6. Network Clustering
6. ネットワーククラスタリング

The previous equation can determine the number of packets lost globally in the monitored network, exploiting only the data provided by the counters in the input and output nodes.


In addition, it is also possible to leverage the data provided by the other counters in the network to converge on the smallest identifiable subnetworks where the losses occur. These subnetworks are named "clusters".

さらに、損失が発生する最小の識別可能なサブネットワークに収束するためにネットワーク内の他のカウンタによって提供されるデータを活用することも可能である。これらのサブネットワークは "Clusters"という名前です。

A cluster graph is a subnetwork of the entire monitoring network graph that still satisfies the packet loss equation (introduced in the previous section), where PL in this case is the number of packets lost in the cluster. As for the entire monitoring network graph, the cluster is defined on a per-flow basis.


For this reason, a cluster should contain all the arcs emanating from its input nodes and all the arcs terminating at its output nodes. This ensures that we can count all the packets (and only those) exiting an input node again at the output node, whatever path they follow.


In a completely monitored unidirectional network (a network where every network interface is monitored), each network device corresponds to a cluster, and each physical link corresponds to two clusters (one for each device).


Clusters can have different sizes depending on the flow-filtering criteria adopted.


Moreover, sometimes clusters can be optionally simplified. For example, when two monitored interfaces are divided by a single router (one is the input interface, the other is the output interface, and the router has only these two interfaces), instead of counting exactly twice, upon entering and leaving, it is possible to consider a single measurement point. In this case, we do not care about the internal packet loss of the router.


It is worth highlighting that it might also be convenient to define clusters based on the topological information so that they are applicable to all the possible flows in the monitored network.


6.1. Algorithm for Clusters Partition
6.1. クラスタパーティションのためのアルゴリズム

A simple algorithm can be applied in order to split our monitoring network into clusters. This can be done for each direction separately. The clusters partition is based on the monitoring network graph, which can be valid for a specific flow or can also be general and valid for the entire network topology.


It is a two-step algorithm:


1. Group the links where there is the same starting node;

1. 同じ起動ノードがあるリンクをグループ化します。

2. Join the grouped links with at least one ending node in common.

2. 少なくとも1つの終了ノードと共通のグループ化されたリンクを結合してください。

Considering that the links are unidirectional, the first step implies listing all the links as connections between two nodes and grouping the different links if they have the same starting node. Note that it is possible to start from any link, and the procedure will work. Following this classification, the second step implies eventually joining the groups classified in the first step by looking at the ending nodes. If different groups have at least one common ending node, they are put together and belong to the same set. After the application of the two steps of the algorithm, each one of the composed sets of links, together with the endpoint nodes, constitutes a cluster.


In our monitoring network graph example, it is possible to identify the clusters partition by applying this two-step algorithm.


The first step identifies the following groups:


1. Group 1: (R1-R2), (R1-R3), (R1-R10)

1. グループ1:(R1-R2)、(R1-R3)、(R1-R10)

2. Group 2: (R2-R4), (R2-R5)

2. グループ2 :( R2-R4)、(R2-R5)

3. Group 3: (R3-R5), (R3-R9)

3. グループ3:(R3-R5)、(R3-R9)

4. Group 4: (R4-R6), (R4-R7)

4. グループ4 :( R4-R6)、(R4-R7)

5. Group 5: (R5-R8)

5. グループ5 :( R5-R8)

And then, the second step builds the clusters partition (in particular, we can underline that Groups 2 and 3 connect together, since R5 is in common):


1. Cluster 1: (R1-R2), (R1-R3), (R1-R10)

1. クラスター1:(R1-R2)、(R1~R3)、(R1~R10)

2. Cluster 2: (R2-R4), (R2-R5), (R3-R5), (R3-R9)

2. クラスター2:(R2-R4)、(R2-R5)、(R3-R5)、(R3 -R9)

3. Cluster 3: (R4-R6), (R4-R7)

3. クラスター3:(R4-R6)、(R4-R7)

4. Cluster 4: (R5-R8)

4. クラスター4 :( R5-R8)

The flow direction here considered is from left to right. For the opposite direction, the same reasoning can be applied, and in this example, you get the same clusters partition.


In the end, the following 4 clusters are obtained:


          Cluster 1
                          <>  R2  <>---
                         / +------+
              +------+ /   +------+
          ---<>  R1  <>---<>  R3  <>---
              +------+ \   +------+
                                \ +------+
                                 <>  R10 <>---
          Cluster 2
              +------+     +------+
          ---<>  R2  <>---<>  R4  <>---
              +------+ \   +------+
              +------+   \ +------+
          ---<>  R3  <>---<>  R5  <>---
              +------+ \   +------+
                            \ +------+
                             <>  R9  <>---
          Cluster 3
                         <>  R6  <>---
                        / +------+
              +------+ /
          ---<>  R4  <>
              +------+ \
                        \ +------+
                         <>  R7  <>---
          Cluster 4
          ---<>  R5  <>
              +------+ \
                        \ +------+
                         <>  R8  <>---

Figure 3: Clusters Example


There are clusters with more than two nodes as well as two-node clusters. In the two-node clusters, the loss is on the link (Cluster 4). In more-than-two-node clusters, the loss is on the cluster, but we cannot know in which link (Cluster 1, 2, or 3).


In this way, the calculation of packet loss can be made on a cluster basis. Note that the packet counters for each marking period permit calculating the packet rate on a cluster basis, so Committed Information Rate (CIR) and Excess Information Rate (EIR) could also be deduced on a cluster basis.


Obviously, by combining some clusters in a new connected subnetwork (called a "super cluster"), the packet-loss rule is still true.


In this way, in a very large network, there is no need to configure detailed filter criteria to inspect the traffic. You can check a multipoint network and, in case of problems, go deep with a step-by-step cluster analysis, but only for the cluster or combination of clusters where the problem happens.


In summary, once a flow is defined, the algorithm to build the clusters partition is based on topological information; therefore, it considers all the possible links and nodes crossed by the given flow, even if there is no traffic. So, if the flow does not enter or traverse all the nodes, the counters have a nonzero value for the involved nodes and a zero value for the other nodes without traffic; but in the end, all the formulas are still valid.


The algorithm described above is an iterative clustering algorithm, but it is also possible to apply a recursive clustering algorithm by using the node-node adjacency matrix representation [IEEE-ACM-ToN-MPNPM].

上記のアルゴリズムは反復クラスタリングアルゴリズムであるが、ノードノード隣接行列表現[IEEE - ACM - Ton - MPNPM]を使用して再帰的クラスタリングアルゴリズムを適用することも可能である。

The complete and mathematical analysis of the possible algorithms for clusters partition, including the considerations in terms of efficiency and a comparison between the different methods, is in the paper [IEEE-ACM-ToN-MPNPM].


7. Timing Aspects
7. タイミングの側面

It is important to consider the timing aspects, since out-of-order packets happen and have to be handled as well, as described in RFC 8321 [RFC8321]. However, in a multisource situation, an additional issue has to be considered. With multipoint path, the egress nodes will receive alternate marked packets in random order from different ingress nodes, and this must not affect the measurement.

RFC 8321 [RFC8321]で説明されているように、順序のアスペクトを考慮することが重要です。ただし、マルチソース状況では、追加の問題を考慮する必要があります。マルチポイントパスでは、出力ノードは異なる入力ノードからランダムな順序で代替マークされたパケットを受け取ります。これは測定に影響を与えません。

So, if we analyze a multipoint-to-multipoint path with more than one marking node, it is important to recognize the reference measurement interval. In general, the measurement interval for describing the results is the interval of the marking node that is more aligned with the start of the measurement, as reported in Figure 4.


Note that the mark switching approach based on a fixed timer is considered in this document.


           time -> start         stop
           T(R1)   |-------------|
           T(R2)     |-------------|
           T(R3)        |------------|

Figure 4: Measurement Interval


In Figure 4, it is assumed that the node with the earliest clock (R1) identifies the right starting and ending times of the measurement, but it is just an assumption, and other possibilities could occur. So, in this case, T(R1) is the measurement interval, and its recognition is essential in order to make comparisons with other active/passive/hybrid Packet Loss metrics.


When we expand to multipoint-to-multipoint flows, we have to consider that all source nodes mark the traffic, and this adds more complexity.


Regarding the timing aspects of the methodology, RFC 8321 [RFC8321] already describes two contributions that are taken into account: the clock error between network devices and the network delay between measurement points.

方法論のタイミングの側面については、RFC 8321 [RFC8321]はすでに考慮される2つの貢献について説明しています。ネットワークデバイス間のクロックエラーと測定ポイント間のネットワーク遅延。

But we should now consider an additional contribution. Since all source nodes mark the traffic, the source measurement intervals can be of different lengths and with different offsets, and this mismatch m can be added to d, as shown in Figure 5.


                |                   L                    |
                |         L/2                L/2         |
                |<=><===>|                      |<===><=>|
                  m   d  |                      |  d   m
                       available counting interval

Figure 5: Timing Aspects for Multipoint Paths


So the misalignment between the marking source routers gives an additional constraint, and the value of m is added to d (which already includes clock error and network delay).


Thus, three different possible contributions are considered: clock error between network devices, network delay between measurement points, and the misalignment between the marking source routers.


In the end, the condition that must be satisfied to enable the method to function properly is that the available counting interval must be > 0, and that means:


L - 2m - 2d > 0.

L - 2M - 2D> 0。

This formula needs to be verified for each measurement point on the multipoint path, where m is misalignment between the marking source routers, while d, already introduced in RFC 8321 [RFC8321], takes into account clock error and network delay between network nodes. Therefore, the mismatch between measurement intervals must satisfy this condition.

この式は、マルチポイントパス上の各測定点について検証する必要があります。ここで、Mはマーキングソースルータ間の位置ずれ、すでにRFC 8321 [RFC8321]で既に導入され、ネットワークノード間でクロックエラーとネットワーク遅延を考慮します。したがって、測定間隔の間の不一致はこの状態を満たさなければなりません。

Note that the timing considerations are valid for both packet loss and delay measurements.


8. Multipoint Delay and Delay Variation
8. マルチポイント遅延と遅延バリエーション

The same line of reasoning can be applied to delay and delay variation. Similarly to the delay measurements defined in RFC 8321 [RFC8321], the marking batches anchor the samples to a particular period, and this is the time reference that can be used. It is important to highlight that both delay and delay-variation measurements make sense in a multipoint path. The delay variation is calculated by considering the same packets selected for measuring the delay.

遅延および遅延変動にも同じ推論の線を適用することができます。RFC 8321 [RFC8321]で定義されている遅延測定と同様に、マーキングバッチはサンプルを特定の期間に固定し、これは使用できる時間基準です。遅延および遅延変動測定の両方が多地点経路で意味があることを強調することが重要です。遅延変動は、遅延を測定するために選択された同じパケットを考慮して計算される。

In general, it is possible to perform delay and delay-variation measurements on the basis of multipoint paths or single packets:


* Delay measurements on the basis of multipoint paths mean that the delay value is representative of an entire multipoint path (e.g., the whole multipoint network, a cluster, or a combination of clusters).

* 多点経路に基づく遅延測定は、遅延値がマルチポイントパス全体(例えば、マルチポイントネットワーク、クラスタ、クラスタの組み合わせ)を表すことを意味する。

* Delay measurements on a single-packet basis mean that you can use a multipoint path just to easily couple packets between input and output nodes of a multipoint path, as described in the following sections.

* 単一パケット基準での遅延測定は、次のセクションで説明されているように、マルチポイントパスを使用するためにマルチポイントパスを使用することができます。

8.1. Delay Measurements on a Multipoint-Paths Basis
8.1. マルチポイントパスベースでの遅延測定
8.1.1. Single-Marking Measurement
8.1.1. シングルマーキング測定

Mean delay and mean delay-variation measurements can also be generalized to the case of multipoint flows. It is possible to compute the average one-way delay of packets in one block, a cluster, or the entire monitored network.


The average latency can be measured as the difference between the weighted averages of the mean timestamps of the sets of output and input nodes. This means that, in the calculation, it is possible to weigh the timestamps by considering the number of packets for each endpoints.


8.2. Delay Measurements on a Single-Packet Basis
8.2. 単一パケット単位での遅延測定
8.2.1. Single- and Double-Marking Measurement
8.2.1. シングルとダブルマーキング測定

Delay and delay-variation measurements relative to only one picked packet per period (both single and double marked) can be performed in the multipoint scenario, with some limitations:


Single marking based on the first/last packet of the interval would not work, because it would not be possible to agree on the first packet of the interval.


Double marking or multiplexed marking would work, but each measurement would only give information about the delay of a single path. However, by repeating the measurement multiple times, it is possible to get information about all the paths in the multipoint flow. This can be done in the case of a point-to-multipoint path, but it is more difficult to achieve in the case of a multipoint-to-multipoint path because of the multiple source routers.


If we would perform a delay measurement for more than one picked packet in the same marking period, and especially if we want to get delay measurements on a multipoint-to-multipoint basis, neither the single- nor the double-marking method is useful in the multipoint scenario, since they would not be representative of the entire flow. The packets can follow different paths with various delays, and in general it can be very difficult to recognize marked packets in a multipoint-to-multipoint path, especially in the case when there is more than one per period.


A desirable option is to monitor simultaneously all the paths of a multipoint path in the same marking period; for this purpose, hashing can be used, as reported in the next section.


8.2.2. Hashing Selection Method
8.2.2. ハッシュ選択方法

RFCs 5474 [RFC5474] and 5475 [RFC5475] introduce sampling and filtering techniques for IP packet selection.

RFCS 5474 [RFC5474]および5475 [RFC5475]は、IPパケット選択のためのサンプリングおよびフィルタリング技術を導入します。

The hash-based selection methodologies for delay measurement can work in a multipoint-to-multipoint path and can be used either coupled to mean delay or stand-alone.


[ALTERNATE-MARKING] introduces how to use the hash method (RFCs 5474 [RFC5474] and 5475 [RFC5475]) combined with the Alternate-Marking method for point-to-point flows. It is also called Mixed Hashed Marking: the coupling of a marking method and hashing technique is very useful, because the marking batches anchor the samples selected with hashing, and this simplifies the correlation of the hashing packets along the path.

[代替マーキング]ポイントツーポイントフローの代替マーキング方法と組み合わせたハッシュメソッド(RFCS 5474 [RFC5474]、5475 [RFC5475])の使用方法を紹介します。それは混合ハッシュマーキングとも呼ばれます:マーキング方法とハッシュ技術の結合は非常に便利です。

It is possible to use a basic-hash or a dynamic-hash method. One of the challenges of the basic approach is that the frequency of the sampled packets may vary considerably. For this reason, the dynamic approach has been introduced for point-to-point flows in order to have the desired and almost fixed number of samples for each measurement period. Using the hash-based sampling, the number of samples may vary a lot because it depends on the packet rate that is variable. The dynamic approach helps to have an almost fixed number of samples for each marking period, and this is a better option for making regular measurements over time. In the hash-based sampling, Alternate Marking is used to create periods, so that hash-based samples are divided into batches, which allows anchoring the selected samples to their period. Moreover, in the dynamic hash-based sampling, by dynamically adapting the length of the hash value, the number of samples is bounded in each marking period. This can be realized by choosing the maximum number of samples (NMAX) to be caught in a marking period. The algorithm starts with only a few hash bits, which permits selecting a greater percentage of packets (e.g., with 0 bits of hash all the packets are sampled, with 1 bit of hash half of the packets are sampled, and so on). When the number of selected packets reaches NMAX, a hashing bit is added. As a consequence, the sampling proceeds at half of the original rate, and also the packets already selected that do not match the new hash are discarded. This step can be repeated iteratively. It is assumed that each sample includes the timestamp (used for delay measurement) and the hash value, allowing the management system to match the samples received from the two measurement points. The dynamic process statistically converges at the end of a marking period, and the final number of selected samples is between NMAX/2 and NMAX. Therefore, the dynamic approach paces the sampling rate, allowing to bound the number of sampled packets per sampling period.

基本ハッシュまたはダイナミックハッシュメソッドを使用することは可能です。基本的なアプローチの課題の1つは、サンプリングされたパケットの周波数がかなり変化する可能性があることです。このため、各測定期間について所望の数のサンプルを有するために、ポイントツーポイントフローについて動的アプローチが導入されてきた。ハッシュベースのサンプリングを使用して、サンプル数は変数のパケットレートに依存するため、多くの場合があります。動的アプローチは、各マーキング期間についてほぼ固定数のサンプルを持つことを助け、これは時間の経過とともに定期的な測定を行うためのより良い選択肢です。ハッシュベースのサンプリングでは、Alternate Markingがピリオドを作成するために使用され、その結果、ハッシュベースのサンプルがバッチに分割され、それによって選択されたサンプルをそれらの期間に固定することができます。さらに、動的ハッシュベースのサンプリングでは、ハッシュ値の長さを動的に適応させることによって、サンプル数は各マーキング期間に制限される。これは、マーキング期間に捕捉される最大サンプル(NMAX)の最大数(NMAX)を選択することによって実現することができる。このアルゴリズムは数回のハッシュビットのみから始まります。これは、(例えば、すべてのパケットがサンプリングされ、1ビットのハッシュ半分がサンプリングされ、サンプリングされているなど)。選択したパケット数がNMAXに達すると、ハッシュビットが追加されます。結果として、サンプリングは元のレートの半分に進み、また新しいハッシュと一致しないパケットは廃棄されます。この工程は反復的に繰り返すことができる。各サンプルにはタイムスタンプ(遅延測定に使用)とハッシュ値が含まれ、管理システムは2つの測定ポイントから受信したサンプルと一致させることができます。動的プロセスはマーキング期間の終わりに統計的に収束し、選択されたサンプルの最終的な数はNMAX / 2とNMAXの間である。したがって、動的アプローチはサンプリングレートを一致させ、サンプリング周期あたりのサンプリングパケットの数をバインドすることを可能にします。

In a multipoint environment, the behavior is similar to a point-to-point flow. In particular, in the context of a multipoint-to-multipoint flow, the dynamic hash could be the solution for performing delay measurements on specific packets and overcoming the single- and double-marking limitations.


The management system receives the samples, including the timestamps and the hash value, from all the MPs, and this happens for both point-to-point and multipoint-to-multipoint flows. Then, the longest hash used by the MPs is deduced and applied to couple timestamps from either the same packets of 2 MPs of a point-to-point path, or the input and output MPs of a cluster (or a super cluster or the entire network). But some considerations are needed: if there isn't packet loss, the set of input samples is always equal to the set of output samples. In the case of packet loss, the set of output samples can be a subset of input samples, but the method still works because, at the end, it is easy to couple the input and output timestamps of each caught packet using the hash (in particular, the "unused part of the hash" that should be different for each packet).

管理システムは、すべてのMPからタイムスタンプとハッシュ値を含むサンプルを受け取り、これはポイントツーポイントフローとマルチポイントツーマルチポイントフローの両方について発生します。次に、MPSによって使用される最長ハッシュは、2 MPの2 MPの2 MPのパケット、またはクラスタの入力および出力MP(またはスーパークラスタまたは全体の全体)のいずれかからのタイムスタンプを推定し、適用されます。通信網)。しかし、いくつかの考慮事項が必要です。パケット損失がない場合、入力サンプルのセットは常に一連の出力サンプルと同じです。パケット損失の場合、一連の出力サンプルは入力サンプルのサブセットである可能性がありますが、最後に、ハッシュを使用して各キャッチパケットの入力と出力のタイムスタンプを簡単に結合することは簡単なためです。特に、各パケットごとに異なるはずである「ハッシュの未使用部分」。

Therefore, the basic hash is logically similar to the double-marking method, and in the case of a point-to-point path, double-marking and basic-hash selection are equivalent. The dynamic approach scales the number of measurements per interval. It would seem that double marking would also work well if we reduced the interval length, but this can be done only for a point-to-point path and not for a multipoint path, where we cannot couple the picked packets in a multipoint path. So, in general, if we want to get delay measurements on the basis of a multipoint-to-multipoint path, and want to select more than one packet per period, double marking cannot be used because we could not be able to couple the picked packets between input and output nodes. On the other hand, we can do that by using hashing selection.


9. A Closed-Loop Performance-Management Approach
9. 閉ループパフォーマンス管理アプローチ

The Multipoint Alternate-Marking framework that is introduced in this document adds flexibility to Performance Management (PM), because it can reduce the order of magnitude of the packet counters. This allows an SDN orchestrator to supervise, control, and manage PM in large networks.


The monitoring network can be considered as a whole or split into clusters that are the smallest subnetworks (group-to-group segments), maintaining the packet-loss property for each subnetwork. The clusters can also be combined in new, connected subnetworks at different levels, depending on the detail we want to achieve.


An SDN controller or a Network Management System (NMS) can calibrate performance measurements, since they are aware of the network topology. They can start without examining in depth. In case of necessity (packet loss is measured or the delay is too high), the filtering criteria could be immediately reconfigured in order to perform a partition of the network by using clusters and/or different combinations of clusters. In this way, the problem can be localized in a specific cluster or a single combination of clusters, and a more detailed analysis can be performed step by step by successive approximation up to a point-to-point flow detailed analysis. This is the so-called "closed loop".


This approach can be called "network zooming" and can be performed in two different ways:


1) change the traffic filter and select more detailed flows;


2) activate new measurement points by defining more specified clusters.


The network-zooming approach implies that some filters or rules are changed and that therefore there is a transient time to wait once the new network configuration takes effect. This time can be determined by the Network Orchestrator/Controller, based on the network conditions.


For example, if the network zooming identifies the performance problem for the traffic coming from a specific source, we need to recognize the marked signal from this specific source node and its relative path. For this purpose, we can activate all the available measurement points and better specify the flow filter criteria (i.e., 5-tuple). As an alternative, it can be enough to select packets from the specific source for delay measurements; in this case, it is possible to apply the hashing technique, as mentioned in the previous sections.


[IFIT-FRAMEWORK] defines an architecture where the centralized Data Collector and Network Management can apply the intelligent and flexible Alternate-Marking algorithm as previously described.


As for RFC 8321 [RFC8321], it is possible to classify the traffic and mark a portion of the total traffic. For each period, the packet rate and bandwidth are calculated from the number of packets. In this way, the network orchestrator becomes aware if the traffic rate surpasses limits. In addition, more precision can be obtained by reducing the marking period; indeed, some implementations use a marking period of 1 sec or less.

RFC 8321 [RFC8321]は、トラフィックを分類し、総トラフィックの一部をマークすることが可能です。各期間について、パケット数と帯域幅はパケット数から計算されます。このようにして、トラフィックレートが制限を超えると、ネットワークオーケストレータが認識するようになる。また、マーキング期間を短縮することにより、より高精度を得ることができる。実際、いくつかの実装は1秒以下のマーキング期間を使用します。

In addition, an SDN controller could also collect the measurement history.


It is important to mention that the Multipoint Alternate Marking framework also helps Traffic Visualization. Indeed, this methodology is very useful for identifying which path or cluster is crossed by the flow.


10. Examples of Application
10. アプリケーションの例

There are application fields where it may be useful to take into consideration the Multipoint Alternate Marking:


VPN: The IP traffic is selected on an IP-source basis in both directions. At the endpoint WAN interface, all the output traffic is counted in a single flow. The input traffic is composed of all the other flows aggregated for source address. So, by considering n endpoints, the monitored flows are n (each flow with 1 ingress point and (n-1) egress points) instead of n*(n-1) flows (each flow, with 1 ingress point and 1 egress point).

VPN:IPトラフィックは、両方向のIPソース単位で選択されます。エンドポイントWANインターフェイスでは、すべての出力トラフィックが1つのフローでカウントされます。入力トラフィックは、ソースアドレスに対して集約された他のすべてのフローで構成されています。したがって、n個のエンドポイントを考慮することによって、監視されたフローはn *(n - 1)の流れ(各フロー、1入力点と1つの出力点で、1つの入力点と(n - 1)の出力点を含む各フロー)です。)。

Mobile Backhaul: LTE traffic is selected, in the Up direction, by the EnodeB source address and, in the Down direction, by the EnodeB destination address, because the packets are sent from the Mobile Packet Core to the EnodeB. So the monitored flow is only one per EnodeB in both directions.


Over The Top (OTT) services: The traffic is selected, in the Down direction, by the source addresses of the packets sent by OTT servers. In the opposite direction (Up), it is selected by the destination IP addresses of the same servers. So the monitoring is based on a single flow per OTT server in both directions.


Enterprise SD-WAN: SD-WAN allows connecting remote branch offices to data centers and building higher-performance WANs. A centralized controller is used to set policies and prioritize traffic. The SD-WAN takes into account these policies and the availability of network bandwidth to route traffic. This helps ensure that application performance meets Service Level Agreements (SLAs). This methodology can also help the path selection for the WAN connection based on per-cluster and per-flow performance.

Enterprise SD-WAN:SD-WANは、リモートブランチオフィスをデータセンターに接続し、高性能WANを構築できます。集中型コントローラは、ポリシーを設定し、トラフィックの優先順位を設定するために使用されます。SD-WANは、これらのポリシーとトラフィックをルーティングするためのネットワーク帯域幅の可用性を考慮に入れています。これにより、アプリケーションのパフォーマンスがサービスレベル契約(SLA)を満たしていることを確認できます。この方法論は、クラスタごとおよびフローごとのパフォーマンスに基づいてWAN接続のパス選択を支援することもできます。

Note that the preceding list is just an example and is not exhaustive. More applications are possible.


11. Security Considerations
11. セキュリティに関する考慮事項

This document specifies a method of performing measurements that does not directly affect Internet security or applications that run on the Internet. However, implementation of this method must be mindful of security and privacy concerns, as explained in RFC 8321 [RFC8321].

このドキュメントは、インターネットセキュリティまたはインターネット上で実行されるアプリケーションに直接影響を与えない測定方法を指定します。ただし、RFC 8321 [RFC8321]で説明されているように、この方法の実装はセキュリティとプライバシーの懸念に注意してください。

12. IANA Considerations
12. IANAの考慮事項

This document has no IANA actions.


13. References
13. 参考文献
13.1. Normative References
13.1. 引用文献

[RFC5474] Duffield, N., Ed., Chiou, D., Claise, B., Greenberg, A., Grossglauser, M., and J. Rexford, "A Framework for Packet Selection and Reporting", RFC 5474, DOI 10.17487/RFC5474, March 2009, <>.

[RFC5474] Duffield、N.、Ed。、Chiou、D.、Claise、B.、Greenberg、A.、Grossglauser、M.、J.Rexford、「パケット選択と報告のためのフレームワーク」、RFC 5474、DOI10.17487 / RFC5474、2009年3月、<>。

[RFC5475] Zseby, T., Molina, M., Duffield, N., Niccolini, S., and F. Raspall, "Sampling and Filtering Techniques for IP Packet Selection", RFC 5475, DOI 10.17487/RFC5475, March 2009, <>.

[RFC5475] Zseby、T.、Molina、M.、Duffield、N.、Niccolini、S.、およびF. Raspall、「IPパケット選択用のサンプリングおよびフィルタリング技術」、RFC 5475、DOI 10.17487 / RFC5475、2009年3月、<>。

[RFC5644] Stephan, E., Liang, L., and A. Morton, "IP Performance Metrics (IPPM): Spatial and Multicast", RFC 5644, DOI 10.17487/RFC5644, October 2009, <>.

[RFC5644] Stephan、E.、Liang、L.、およびA.モートン、「IPパフォーマンス測定基準(IPPM):空間的およびマルチキャスト」、RFC 5644、DOI 10.17487 / RFC5644、2009年10月、<>。

[RFC8321] Fioccola, G., Ed., Capello, A., Cociglio, M., Castaldelli, L., Chen, M., Zheng, L., Mirsky, G., and T. Mizrahi, "Alternate-Marking Method for Passive and Hybrid Performance Monitoring", RFC 8321, DOI 10.17487/RFC8321, January 2018, <>.

[RFC8321] Fioccola、G.、Ed。、Capello、A.、Cociglio、M.、Castaldelli、L.、Chen、M.、Zheng、L.、Mirsky、G.、T.Mizrahi、T.代替マーキングパッシブおよびハイブリッド性能監視方法、RFC 8321、DOI 10.17487 / RFC8321、2018年1月、<>。

13.2. Informative References
13.2. 参考引用

[ALTERNATE-MARKING] Mizrahi, T., Arad, C., Fioccola, G., Cociglio, M., Chen, M., Zheng, L., and G. Mirsky, "Compact Alternate Marking Methods for Passive and Hybrid Performance Monitoring", Work in Progress, Internet-Draft, draft-mizrahi-ippm-compact-alternate-marking-05, 6 July 2019, <>.

[代替マーキング] Mizrahi、T.、Arad、C.、Fioccola、G.、Cociglio、M.、Chen、M.、Zheng、L.、G. Mirsky、パッシブとハイブリッド性能のためのコンパクトな代替マーキング方法モニタリング中の作業、インターネットドラフト、ドラフト - Mizrahi-IPPM-Compact-Alternate-Marking-05,2019、<代替マーキング-05>。

[ENHANCED-ALTERNATE-MARKING] Zhou, T., Fioccola, G., Lee, S., Cociglio, M., and W. Li, "Enhanced Alternate Marking Method", Work in Progress, Internet-Draft, draft-zhou-ippm-enhanced-alternate-marking-05, 13 July 2020, < draft-zhou-ippm-enhanced-alternate-marking-05>.

[強化代用マーキング] Zhou、T.、Fioccola、G.、Lee、S.、Cociglio、M.、およびW. Li、「強化代替マーキング方法」、進行中の作業、インターネットドラフト、ドラフト-ippm-enhanced-alternate-marking-05,2020、< romft-Zhou-IPPM強化 - 代替マーキング-05>。

[IEEE-ACM-ToN-MPNPM] Cociglio, M., Fioccola, G., Marchetto, G., Sapio, A., and R. Sisto, "Multipoint Passive Monitoring in Packet Networks", IEEE/ACM Transactions on Networking vol. 27, no. 6, pp. 2377-2390, DOI 10.1109/TNET.2019.2950157, December 2019, <>.

[IEEE-ACM-TON-MPNPM] Cociglio、M.、Fioccola、G.、Marchetto、G.、Sapio、A.、R.Sisto、「パケットネットワークにおけるマルチポイントパッシブモニタリング」、ネットワーキングのIEEE / ACM取引。27、いいえ。6、PP。2377-2390、DOI 10.1109 / TNET.2019.2950157、2019年12月、<>。

[IEEE-Network-PNPM] Mizrahi, T., Navon, G., Fioccola, G., Cociglio, M., Chen, M., and G. Mirsky, "AM-PM: Efficient Network Telemetry using Alternate Marking", IEEE Network vol. 33, no. 4, pp. 155-161, DOI 10.1109/MNET.2019.1800152, July 2019, <>.

[IEEE-Network-PNPM] Mizrahi、T.、Navon、G.、Fioccola、G.、Cociglio、M.、Chen、M.、およびG. Mirsky、「AM-PM:代替マーキングを使用した効率的なネットワークテレメトリ」、IEEEネットワークVOL。33、いいえ。4、pp.155-161、DOI 10.1109 / Mnet.2019.1800152、2019年7月、<>。

[IFIT-FRAMEWORK] Song, H., Qin, F., Chen, H., Jin, J., and J. Shin, "In-situ Flow Information Telemetry", Work in Progress, Internet-Draft, draft-song-opsawg-ifit-framework-12, 14 April 2020, <>.

[iFit-Framework] Song、H.、Qin、F.、Chen、H.、Jin、J.、J. Shin、 "In Situ Flow Information Telemetry"、進行中、インターネットドラフト、ドラフトソング-opsawg-ifit-framework-12,14月14日、<>

[RFC7011] Claise, B., Ed., Trammell, B., Ed., and P. Aitken, "Specification of the IP Flow Information Export (IPFIX) Protocol for the Exchange of Flow Information", STD 77, RFC 7011, DOI 10.17487/RFC7011, September 2013, <>.

[RFC7011] Claise、B、ED。、Trammell、B.、Ed。、およびP.Aitken、「フロー情報交換のIPフロー情報エクスポート(IPFIX)プロトコルの仕様」、STD 77、RFC 7011、DOI 10.17487 / RFC7011、2013年9月、<>。

[ROUTE-ASSESSMENT] Alvarez-Hamelin, J., Morton, A., Fabini, J., Pignataro, C., and R. Geib, "Advanced Unidirectional Route Assessment (AURA)", Work in Progress, Internet-Draft, draft-ietf-ippm-route-10, 13 August 2020, <>.

[経路評価] Alvarez-Hamelin、J.、Morton、A.、Fabini、J.、Pignataro、C.、R. Geib、「高度な一方向ルート評価(AURA)」、進行中の作業、インターネットドラフト、4月13日、<>。



The authors would like to thank Al Morton, Tal Mizrahi, and Rachel Huang for the precious contributions.

著者らは、Al Morton、Tal Mizrahi、そしてRachel Huangに貴重な貢献をしたいと思います。

Authors' Addresses


Giuseppe Fioccola (editor) Huawei Technologies Riesstrasse, 25 80992 Munich Germany

Giuseppe Fioccola(編集)Huawei Technologies Riesstrasse、25 80992ミュンヘンドイツ


Mauro Cociglio Telecom Italia Via Reiss Romoli, 274 10148 Torino Italy

Mauro Cociglio Telecom Italia via Reiss Romoli、274 10148 Torino Italy


Amedeo Sapio Intel Corporation 4750 Patrick Henry Dr. Santa Clara, CA 95054 United States of America

AmeDeo Sapio Intel Corporation 4750 Patrick Henry Santa Clara、CA 95054アメリカ合衆国


Riccardo Sisto Politecnico di Torino Corso Duca degli Abruzzi, 24 10129 Torino Italy

Riccardo Sisto Politecnico di Torino Corso Duca Degli Abruzzi、24 10129 Torino Italy