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Versions: 00 01 02 03                                                   
Network Working Group                                           L. Zheng
Internet-Draft                                       Huawei Technologies
Intended status: Informational                                 N. Elkins
Expires: August 15, 2015                           Inside Products, Inc.
                                                                 L. Deng
                                                            China Mobile
                                                            M. Ackermann
                                      Blue Cross Blue Shield of Michigan
                                                               G. Mirsky
                                                                Ericsson
                                                       February 11, 2015


           Framework for IP Passive Performance Measurements
                 draft-zheng-ippm-framework-passive-03

Abstract

   This document describes the framework for passive measurement.  In
   particular, the differences between passive and active measurements
   are analyzed, general considerations for both metric definition and
   measurement methodology are discussed, and requirements for various
   entities performing a given passive measurement task are described
   according to a reference model.

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
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   Drafts is at http://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 August 15, 2015.

Copyright Notice

   Copyright (c) 2015 IETF Trust and the persons identified as the
   document authors.  All rights reserved.





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   This document is subject to BCP 78 and the IETF Trust's Legal
   Provisions Relating to IETF Documents
   (http://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 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.

Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Terminology . . . . . . . . . . . . . . . . . . . . . . . . .   3
   3.  Measurement Methods . . . . . . . . . . . . . . . . . . . . .   3
     3.1.  Active Measurement Method . . . . . . . . . . . . . . . .   3
     3.2.  Passive Measurement Method  . . . . . . . . . . . . . . .   3
     3.3.  Hybrid Measurement Method . . . . . . . . . . . . . . . .   4
   4.  Measured Metrics  . . . . . . . . . . . . . . . . . . . . . .   4
     4.1.  Active Metrics  . . . . . . . . . . . . . . . . . . . . .   4
     4.2.  Passive Metrics . . . . . . . . . . . . . . . . . . . . .   4
       4.2.1.  Passive Measurement Metric Elements . . . . . . . . .   6
   5.  Reference Model . . . . . . . . . . . . . . . . . . . . . . .   8
   6.  Methodology . . . . . . . . . . . . . . . . . . . . . . . . .   9
     6.1.  Discussion of Errors / Unintended Consequences  . . . . .  10
     6.2.  Control Protocol  . . . . . . . . . . . . . . . . . . . .  10
     6.3.  Measurement Session Management  . . . . . . . . . . . . .  10
     6.4.  Data Collected Correlation  . . . . . . . . . . . . . . .  11
     6.5.  Measurement Configuration . . . . . . . . . . . . . . . .  11
     6.6.  Scalability and Robustness  . . . . . . . . . . . . . . .  11
     6.7.  Privacy Issues  . . . . . . . . . . . . . . . . . . . . .  11
   7.  Security Considerations . . . . . . . . . . . . . . . . . . .  11
   8.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  11
   9.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  11
     9.1.  Normative References  . . . . . . . . . . . . . . . . . .  11
     9.2.  Informational References  . . . . . . . . . . . . . . . .  12
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  12

1.  Introduction

   This document describes the framework for passive measurement.  In
   particular, the differences between passive and active measurements
   are analyzed, general considerations for both metric definition and
   measurement methodology are discussed, and requirements for various
   entities performing a given passive measurement task are described
   according to a reference model.





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   The IETF IP Performance Metrics (IPPM) working group first created a
   framework for metric development in [RFC2330], which enabled
   development of many fundamental metrics.  [RFC2330] has been updated
   once by [RFC5835], which describes a detailed framework for composing
   and aggregating metrics originally defined in [RFC2330].

2.  Terminology

   TBD

3.  Measurement Methods

3.1.  Active Measurement Method

   Active Measurement Method: The process of measuring performance or
   reliability parameters by the examination of traffic (IP Packets)
   injected into the network, expressly for the purpose of measurement
   by intended Measurement Point(s).

   The packets in an Active Measurement Stream typically have fields
   which are dedicated to and customized for measurement purposes.  As
   an example, a sequence number is a common information field used for
   dedicated measurements, potentially at multiple measurement points.

   Packet stream characteristics (e.g.  Protocol Type) and specific
   field information (e.g.  IP Address), are known at the source and
   usually communicated to the measurement point(s) as well.

   Because traffic stream characteristics (e.g. number of packets), and
   traffic type (e.g. protocol) are known to the Active Measurement
   Point receivers, more efficient and focused operations are possible.

3.2.  Passive Measurement Method

   Passive Measurement Method: The process of measuring some performance
   or reliability parameter associated with the existing traffic
   (packets) on the network.

   [Note: There are definitions for both active and passive measurement
   methods in [I-D.ietf-ippm-metric-registry].  Further discussion and
   coordination may be needed.]

   Some passive methods observe and collect information on all packets
   that pass the observation or Measurement Point(s), while other
   Passive Methods filter the packets as a first step and only process
   information on packets that match the filter criteria.





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   Passive Methods may be conducted at one or more Measurement Points.
   Certain Metrics (e.g. latency across a particular network path),
   require multiple Measurement Points and observed packets must include
   sufficient information (e.g. sequence number), to correlate packets
   from different observation points.

   Passive traffic may be observed/measured at any point in an IP
   session path, including source host, destination host and
   middleboxes.  Passive traffic may also be observed/measured by ""Out
   of band"" devices, which do not participate in processing the actual
   session traffic.  This parallel approach typically has the least
   effect upon network conditions and the session traffic being
   measured.

3.3.  Hybrid Measurement Method

   Hybrid Measurement Method: Methods of Measurement which use a
   combination of Active Methods and Passive Methods.

   Hybrid Methods are not fully defined or delineated at this time.
   Details and examples will be forthcoming.  As this occurs, this
   section will be expanded upon accordingly.

4.  Measured Metrics

   The de facto focus of RFC2330 is on active measurement.  Although
   many of the concepts discussed in RFC2330, metrics, measurement
   methodology, errors with time apply to both passive and active
   methods of measurement techniques, there are considerable differences
   in terms of metric definition and measurement methodology for passive
   measurement.

4.1.  Active Metrics

   Active Metrics: A set of standard measurements for evaluating network
   performance or reliability, based upon the results of active traffic
   (IP Packets), injected into the network by a source node, expressly
   for the purpose of measurement and examined by one or more
   Measurement Points.

   Examples of Active Metrics include: Latency, Throughput, errors, etc.

4.2.  Passive Metrics

   Passive Metrics: A set of standard measurements for evaluating
   network performance or reliability, based upon the results of Passive
   traffic (IP Packets), existing on the network and examined by one or
   more Measurement Points.



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   [Editor Note]: While Active and Passive Methods differ considerably,
   the Metrics requirements and definitions for Active and Passive are
   similar if not identical.  Both can be described as defined reference
   events, as packets pass defined reference points.  These concepts are
   consistent with and further elucidated by ITU-T Recommendation Y.1540
   [Y.1540.2011].

   Therefore it makes sense to be agnostic to the distinction between
   active and passive, with respect to Metrics.  Distinctions or
   different definitions for Active and Passive Metrics, should only be
   created as needed, consistent with the IPPM Metric Registry
   [I-D.ietf-ippm-metric-registry].

   Passive measurements may be used in scenarios where active
   measurement alone is not enough or applicable.  Since no extra in-
   band traffic which may alter service and performance behavior is
   introduced, passive measurement may be done during peak traffic.

   Passive measurement is not without cost.  In the best scenario, the
   passive measurement point is external to the devices participating in
   the network traffic.  For example, a passive network TAP may be
   placed at a switch to capture traffic.  This would create very
   little, if any, interference with in-band traffic.  Alternatively,
   care must be taken if a passive measurement technique creates load on
   a participant in the network.  For example, a packet trace taken at
   one of the end host points may add load to the device thus
   potentially changing the environment which it is measuring.  The
   benefits of this method for measurement and diagnostics must be
   weighed with the costs.

   For networks where charges are based on the amount of data sent,
   passive measurement may be the first choice for end-to-end
   measurement, as it does not introduce any extra expense to the
   subscriber.  In terms of Quality of Experience (QoE) measurement,
   passive measurement is expected to be more accurate and helpful in
   troubleshooting as it reflects the status of real application
   traffic.

   For passive measurement, the concepts of singleton, sample and
   statistical, as defined in [RFC2330], also apply.  However, there are
   some differences.  The singleton, sample, and statistical
   measurements are those taken within the boundaries of captured
   traffic.








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4.2.1.  Passive Measurement Metric Elements

   In passive measurement, the most important aspects have to do with
   the portion of reality which is actually measured at any point in
   time.  So, it may be useful to define some terms for passive
   measurement.  These are as follows:

   1.  Capture content: this is the type(s) of packet or metric found.

   2.  Capture distribution: this is the actual pattern of data in the
       collected packets.  The pattern or distribution may be Poisson
       but it may also be bimodal, uniform, or skewed.  For example, one
       might see an FTP transfer as a relatively uniform distribution, a
       TCP connection with a windowing issue may display a skewed
       distribution, etc.

   3.  Capture limits: this is the way the set of packets or metrics are
       selected.  For example, one may decide to take a trace that
       consists of 1,000 packets.  Alternatively, one might take a
       packet capture for 5 minutes with no regard to how many packets
       are found.

   4.  Capture methodology: this is the area in which passive differs
       most greatly from active methods.  For example, [RFC2679],
       section 3.6.  Methodologies discusses the various techniques of
       injecting test packets into the network.  This is not applicable
       to passive measurement.  Passive measurement simply collects that
       which exists.

   5.  Unruly Nature of Capture: With reality, there are no guarantees.
       That is, if one imagines a passive sample to be a packet trace
       taken at a host.  If the metric one is looking for is IP/TCP
       connectivity measured by a TCP three way handshake, then in
       active measurement, one can be guaranteed to find that metric
       because one has injected packets of that type into the stream.
       In passive measurement, the capture may contain anywhere from
       zero occurrences of the desired metric to many instances of the
       desired metric.

   6.  Capture Selection: With active measurement, one may create 500
       packets of a certain type and pick according to the sampling
       distribution desired.

   For example, [RFC2330] in the discussion of generating Poisson
   distributions (11.1.3), discusses a method:

   Method 1 is to proceed as follows:




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   1.  Generate E1 and wait that long.

   2.  Perform a measurement.

   3.  Generate E2 and wait that long.

   4.  Perform a measurement.

   5.  Generate E3 and wait that long.

   6.  Perform a measurement ...

   With passive measurement, one has no way of knowing if a particular
   desired packet or packet sequence exists at all in the set of packets
   captured.

   Having said that, if there do exist many such packets, one may use a
   random (or another) sampling method to pick the instances desired.
   That is, if one has 100,000 instances of TCP three-way handshakes,
   one may decide to randomly choose 50 to examine more closely.

   Inherent Inequality of Active and Passive Measurements: due to the
   nature of data traffic, depending on what metric is measured, it is
   unlikely that it will have a random or Poisson distribution.  Hence,
   metrics created using Active methods and those generated using
   Passive methods are likely to differ.  It is not known at this point
   whether that difference is significant or not.

   [TBD: More discussion here on distributions and inequality]

   .  Point of View: In passive measurement, it matters greatly where
   the measurement is being done.  Point of view is critical.  Passive
   measurement only knows what it sees from its own perspective.

   In troubleshooting problems using passive measurement, it is often
   necessary to get multiple points of view.  Let us take a simple case
   of diagnosing packet loss from an end user perspective.  If one takes
   a packet trace at the client host, one sees that certain packets are
   not being received.  If one takes two packet traces at the same time
   at the server and client, one sees that the server sends these
   packets yet the client does not receive them.  Hence, the problem
   must be at a middle box.  So, then, one must start taking traces at
   client, server, and a trace point after the first middle box, etc.

   The measurement techniques for passive measurement must accommodate
   and facilitate such tasks.





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   Active measurement techniques know clearly the measurement point and
   path because that is a part of the definition of the Active
   measurement task.

5.  Reference Model

   This section describes the main functional components of the passive
   measurement system, and the interactions between the components.
   Some new terms are defined in this document and some are borrowed
   from the LMAP Framework [I-D.ietf-lmap-framework].

           +---------------+                +---------------+
           |  Measurement  |  Coordination  |  Measurement  |
           |   Agent A     |--------------|   Agent B     |
           +---------------+                +---------------+
                     ^  |                       ^    |
            Control  |  | Report        Control |    | Report
                     |  |     +-----------------+    |
                     |  +-----|-------------------+  |
                     |        |                   |  |
                     v        v                   v  v
                   +------------+           +------------+
                   | Controller |---------|  Collector |
                   +------------+           +------------+

               Figure 1: Passive Measurement Reference Model

   Although there are considerable similarities between the proposed
   reference model and the LMAP framework [I-D.ietf-lmap-framework], it
   should be noted that the above architecture is provided as a more
   general outline of an integral collection of functional components
   collaborating in performing a specific instance of passive
   measurement method.  Various functions from LMAP framework in
   performing a passive measurement task represent a specific way of
   realizing the general model.

   Controller: A entity that exchanges the Control of the Measurement
   Task with the Measurement Entity, receives the Report from the
   Collector and conducts the value calculation/derivation for the
   metrics measured of the Measurement Task.  When multiple Measurement
   Entities are involved for a certain Measurement Task, Controller may
   only have Control exchanged with one or some of the Measurement
   Entities.

   Collector: A entity that receives a Report from a Measurement Entity
   and provides the Report to the Controller for metric calculation /
   derivation.




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   Measurement Agent: An entity that exchanges the Control of the
   Measurement Task with the Controller, performs Measurement Tasks and
   sends the Report to Collector.  When multiple Measurement Agents are
   involved for a certain Measurement Task, Coordination may be required
   between Measurement Entities.

   Control: The collective description of information exchanged between
   Controller and Measurement Agent, i.e. configurations, instructions,
   states, etc. for a Measurement Agent to perform and Report
   Measurement Tasks.

   Coordination: [TBD.  Discuss coordination with MAs and Controller]

   Report: The set of Measurement Results and other associated
   information as defined by the Control.

   [Measurement Task]: The act that consists of the single operation of
   the Measurement Method at a particular time and with all its Input
   Parameters set to specific values.

   [Measurement Result]: The output of a single Measurement Task (the
   value obtained for the parameter of interest or Metric).

   [Note: further discussion and clarifications regarding these borrowed
   terms from LMAP framework are to be expected, with coordination with
   [I-D.ietf-lmap-framework].]

6.  Methodology

   For a given set of well-defined metrics, a number of distinct
   measurement methodologies may exist.  Let us take One-way Packet Loss
   as example.  Packet loss over a path is the difference between the
   number of packets transmitted at the starting interface of the path
   and received at the ending interface of this path.  In order to
   perform packet loss measurements on a live traffic flow, different
   methodologies exist.  A partial list includes:

   1.  observation, e.g.  Sequence Number, pros and cons

   2.  inserting a delimiting packet: Y.1731, RFC6374, pros and cons

   3.  altering the packet:

   Note: This list is by no means exhaustive.  The purpose is to point
   out the variety of measurement techniques.

   Note: A methodology for a metric should have the property that it is
   repeatable: if the methodology is used multiple times under identical



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   conditions, it should result in consistent measurements.  A
   methodology for a metric should be scalable, robust and secured.

   Following sections list the functional requirements and design
   considerations of any passive measurement methodology.

6.1.  Discussion of Errors / Unintended Consequences

   As discussed in Section 6.3 Measurements, Uncertainties and Errors of
   RFC2330, the measurement technique itself can introduce errors.

   "consider the timing error due to measurement overheads within the
   computer making the measurement, as opposed to delays due to the
   Internet component being measured.  The former is a measurement
   error, while the latter reflects the metric of interest.  Note that
   one technique that can help avoid this overhead is the use of a
   packet filter/sniffer, running on a separate computer that records
   network packets and timestamps them accurately."

   With some types of passive measurement, changing the packet may
   create extra load on the network, change the characteristics of
   network traffic, or change the nature of the problem itself.
   Obviously, the benefits of the measurement must be such as to offset
   the potential unintended consequences.

6.2.  Control Protocol

   As depicted by the reference model, there are different functional
   components residing along an end-to-end path or within an ISP's
   domain that cooperate to perform a specific passive measurement task.
   This section describes the high level function requirements for the
   control protocol between these collaborating components.

   Note: LMAP is developing the control protocol between MA and
   controller, here will be the discussion for control protocol between
   measurement parties, i.e.  MA to MA or MA to MP.

6.3.  Measurement Session Management

   A measurement session refers to the period of time in which
   measurement for certain performance metrics is enabled over a
   forwarding path.  A measurement session may be started either
   proactively or on demand.  The methodology must indicate how the
   measurement session is to be started.







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6.4.  Data Collected Correlation

   When there is no coordination between MAs during a measurement
   session, data collected on the upstream MA and downstream MA, e.g.
   packet counts or timestamps, may be periodically report to the
   Controller.  And the value of the performance metrics are calculated/
   derived on the Controller.  Certain synchronization mechanism is
   required to ensure the data collected on upstream and downstream are
   correlated.  This may further require that the upstream and
   downstream MEs have a certain time synchronization capability (e.g.,
   supporting the Network Time Protocol (NTP) [RFC5905], or the IEEE
   1588 Precision Time Protocol (PTP) [IEEE.1588.2008].)

6.5.  Measurement Configuration

   A measurement session can be configured statically or dynamically.
   The methods must be discussed.

6.6.  Scalability and Robustness

   [TBD]

6.7.  Privacy Issues

   [TBD]

7.  Security Considerations

   This document does not bring new security issues to IPPM.

8.  Acknowledgements

   The authors would like to thank Al Morton, Brian Trammell and Robert
   Hamilton for their valuable comments.

9.  References

9.1.  Normative References

   [I-D.li-mpls-seamless-mpls-mbb]
              Li, Z., Li, L., Morillo, M., and T. Yang, "Seamless MPLS
              for Mobile Backhaul", draft-li-mpls-seamless-mpls-mbb-01
              (work in progress), February 2014.

   [IEEE.1588.2008]
              "Standard for a Precision Clock Synchronization Protocol
              for Networked Measurement and Control Systems", IEEE
              Standard 1588, March 2008.



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   [RFC2330]  Paxson, V., Almes, G., Mahdavi, J., and M. Mathis,
              "Framework for IP Performance Metrics", RFC 2330, May
              1998.

   [RFC2679]  Almes, G., Kalidindi, S., and M. Zekauskas, "A One-way
              Delay Metric for IPPM", RFC 2679, September 1999.

   [RFC5835]  Morton, A. and S. Van den Berghe, "Framework for Metric
              Composition", RFC 5835, April 2010.

   [RFC5905]  Mills, D., Martin, J., Burbank, J., and W. Kasch, "Network
              Time Protocol Version 4: Protocol and Algorithms
              Specification", RFC 5905, June 2010.

9.2.  Informational References

   [I-D.ietf-ippm-metric-registry]
              Bagnulo, M., Claise, B., Eardley, P., Morton, A., and A.
              Akhter, "Registry for Performance Metrics", draft-ietf-
              ippm-metric-registry-01 (work in progress), September
              2014.

   [I-D.ietf-lmap-framework]
              Eardley, P., Morton, A., Bagnulo, M., Burbridge, T.,
              Aitken, P., and A. Akhter, "A framework for large-scale
              measurement platforms (LMAP)", draft-ietf-lmap-
              framework-10 (work in progress), January 2015.

   [Y.1540.2011]
              "Internet protocol data communication service - IP packet
              transfer and availability performance parameters", ITU-T
              Y.1540, March 2011.

Authors' Addresses

   Lianshu Zheng
   Huawei Technologies
   China

   Email: vero.zheng@huawei.com


   Nalini Elkins
   Inside Products, Inc.
   USA

   Email: nalini.elkins@insidethestack.com




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   Lingli Deng
   China Mobile
   China

   Email: denglingli@chinamobile.com


   Michael Ackermann
   Blue Cross Blue Shield of Michigan
   USA

   Email: mike.ackermann@bcbsmi.com


   Greg Mirsky
   Ericsson
   USA

   Email: gregory.mirsky@ericsson.com
































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