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Test Cases for Evaluating Congestion Control for Interactive Real-Time Media
RFC 8867

Document Type RFC - Informational (January 2021)
Authors Zaheduzzaman Sarker , Varun Singh , Xiaoqing Zhu , Michael A. Ramalho
Last updated 2021-01-19
RFC stream Internet Engineering Task Force (IETF)
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RFC 8867


Internet Engineering Task Force (IETF)                         Z. Sarker
Request for Comments: 8867                                   Ericsson AB
Category: Informational                                         V. Singh
ISSN: 2070-1721                                             callstats.io
                                                                  X. Zhu
                                                           Cisco Systems
                                                              M. Ramalho
                                                           AcousticComms
                                                            January 2021

 Test Cases for Evaluating Congestion Control for Interactive Real-Time
                                 Media

Abstract

   The Real-time Transport Protocol (RTP) is used to transmit media in
   multimedia telephony applications.  These applications are typically
   required to implement congestion control.  This document describes
   the test cases to be used in the performance evaluation of such
   congestion control algorithms in a controlled environment.

Status of This Memo

   This document is not an Internet Standards Track specification; it is
   published for informational purposes.

   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.

   Information about the current status of this document, any errata,
   and how to provide feedback on it may be obtained at
   https://www.rfc-editor.org/info/rfc8867.

Copyright Notice

   Copyright (c) 2021 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 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.  Terminology
   3.  Structure of Test Cases
   4.  Recommended Evaluation Settings
     4.1.  Evaluation Metrics
     4.2.  Path Characteristics
     4.3.  Media Source
   5.  Basic Test Cases
     5.1.  Variable Available Capacity with a Single Flow
     5.2.  Variable Available Capacity with Multiple Flows
     5.3.  Congested Feedback Link with Bi-directional Media Flows
     5.4.  Competing Media Flows with the Same Congestion Control
           Algorithm
     5.5.  Round Trip Time Fairness
     5.6.  Media Flow Competing with a Long TCP Flow
     5.7.  Media Flow Competing with Short TCP Flows
     5.8.  Media Pause and Resume
   6.  Other Potential Test Cases
     6.1.  Media Flows with Priority
     6.2.  Explicit Congestion Notification Usage
     6.3.  Multiple Bottlenecks
   7.  Wireless Access Links
   8.  Security Considerations
   9.  IANA Considerations
   10. References
     10.1.  Normative References
     10.2.  Informative References
   Acknowledgments
   Authors' Addresses

1.  Introduction

   This memo describes a set of test cases for evaluating congestion
   control algorithm proposals in controlled environments for real-time
   interactive media.  It is based on the guidelines enumerated in
   [RFC8868] and the requirements discussed in [RFC8836].  The test
   cases cover basic usage scenarios and are described using a common
   structure, which allows for additional test cases to be added to
   those described herein to accommodate other topologies and/or the
   modeling of different path characteristics.  The described test cases
   in this memo should be used to evaluate any proposed congestion
   control algorithm for real-time interactive media.

2.  Terminology

   The terminology defined in RTP [RFC3550], RTP Profile for Audio and
   Video Conferences with Minimal Control [RFC3551], RTCP Extended
   Report (XR) [RFC3611], Extended RTP Profile for RTCP-based Feedback
   (RTP/AVPF) [RFC4585], and Support for Reduced-Size RTCP [RFC5506]
   applies.

3.  Structure of Test Cases

   All the test cases in this document follow a basic structure allowing
   implementers to describe a new test scenario without repeatedly
   explaining common attributes.  The structure includes a general
   description section that describes the test case and its motivation.
   Additionally the test case defines a set of attributes that
   characterize the testbed, for example, the network path between
   communicating peers and the diverse traffic sources.

   Define the test case:

      General description:  describes the motivation and the goals of
         the test case.

      Expected behavior:  describes the desired rate adaptation
         behavior.

      List of metrics to evaluate the desired behavior:  this indicates
         the minimum set of metrics (e.g., link utilization, media
         sending rate) that a proposed algorithm needs to measure to
         validate the expected rate adaptation behavior.  It should also
         indicate the time granularity (e.g., averaged over 10 ms, 100
         ms, or 1 s) for measuring certain metrics.  Typical measurement
         interval is 200 ms.

   Define testbed topology:

      Every test case needs to define an evaluation testbed topology.
      Figure 1 shows such an evaluation topology.  In this evaluation
      topology, S1..Sn are traffic sources.  These sources generate
      media traffic and use the congestion control algorithm(s) under
      investigation.  R1..Rn are the corresponding receivers.  A test
      case can have one or more such traffic sources (S) and their
      corresponding receivers (R).  The path from the source to
      destination is denoted as "forward", and the path from a
      destination to a source is denoted as "backward".  The following
      basic structure of the test case has been described from the
      perspective of media-generating endpoints attached on the left-
      hand side of Figure 1.  In this setup, the media flows are
      transported in the forward direction, and the corresponding
      feedback/control messages are transported in the backward
      direction.  However, it is also possible to set up the test with
      media in both forward and backward directions.  In that case,
      unless otherwise specified by the test case, it is expected that
      the backward path does not introduce any congestion-related
      impairments and has enough capacity to accommodate both media and
      feedback/control messages.  It should be noted that, depending on
      the test cases, it is possible to have different path
      characteristics in either of the directions.

      +---+                                                        +---+
      |S1 |====== \               Forward -->             / =======|R1 |
      +---+       \\                                     //        +---+
                   \\                                   //
      +---+       +-----+                            +-----+       +---+
      |S2 |=======|  A  |--------------------------->|  B  |=======|R2 |
      +---+       |     |<---------------------------|     |       +---+
                  +-----+                            +-----+
      (...)         //                                  \\         (...)
                   //          <-- Backward              \\
      +---+       //                                      \\       +---+
      |Sn |====== /                                        \ ======|Rn |
      +---+                                                        +---+

                   Figure 1: Example of a Testbed Topology

      In a testbed environment with real equipment, there may exist a
      significant amount of unwanted traffic on the portions of the
      network path between the endpoints.  Some of this traffic may be
      generated by other processes on the endpoints themselves (e.g.,
      discovery protocols) or by other endpoints not presently under
      test.  Such unwanted traffic should be removed or avoided to the
      greatest extent possible.

   Define testbed attributes:

      Duration:  defines the duration of the test in seconds.

      Path characteristics:  defines the end-to-end transport level path
         characteristics of the testbed for a particular test case.  Two
         sets of attributes describe the path characteristics, one for
         the forward path and the other for the backward path.  The path
         characteristics for a particular path direction are applicable
         to all the sources "S" sending traffic on that path.  If only
         one attribute is specified, it is used for both path
         directions; however, unless specified the reverse path has no
         capacity restrictions and no path loss.

         Path direction:  forward or backward.

         Minimum bottleneck-link capacity:  defines the minimum capacity
            of the end-to-end path.

         Reference bottleneck capacity:  defines a reference value for
            the bottleneck capacity for test cases with time-varying
            bottleneck capacities.  All bottleneck capacities will be
            specified as a ratio with respect to the reference capacity
            value.

         One-way propagation delay:  describes the end-to-end latency
            along the path when network queues are empty, i.e., the time
            it takes for a packet to go from the sender to the receiver
            without encountering any queuing delay.

         Maximum end-to-end jitter:  defines the maximum jitter that can
            be observed along the path.

         Bottleneck queue type:  for example, "tail drop" [RFC7567],
            Flow Queue Controlled Delay (FQ-CoDel) [RFC8290], or
            Proportional Integral controller Enhanced (PIE) [RFC8033].

         Bottleneck queue size:  defines the size of queue in terms of
            queuing time when the queue is full (in milliseconds).

         Path loss ratio:  characterizes the non-congested, additive
            losses to be generated on the end-to-end path.  This must
            describe the loss pattern or loss model used to generate the
            losses.

      Application-related:  defines the traffic source behavior for
         implementing the test case:

         Media traffic source:  defines the characteristics of the media
            sources.  When using more than one media source, the
            different attributes are enumerated separately for each
            different media source.

            Media type:  Video/Voice.

            Media flow direction:  forward, backward, or both.

            Number of media sources:  defines the total number of media
               sources.

            Media codec:  Constant Bit Rate (CBR) or Variable Bit Rate
               (VBR).

            Media source behavior:  describes the media encoder
               behavior.  It defines the main parameters that affect the
               adaptation behavior.  This may include but is not limited
               to the following:

               Adaptability:  describes the adaptation options.  For
                  example, in the case of video, it defines the
                  following ranges of adaptation: bit rate, frame rate,
                  and video resolution.  Similarly, in the case of
                  voice, it defines the range of bit rate adaptation,
                  the sampling rate variation, and the variation in
                  packetization interval.

               Output variation:  for a VBR encoder, it defines the
                  encoder output variation from the average target rate
                  over a particular measurement interval.  For example,
                  on average the encoder output may vary between 5% to
                  15% above or below the average target bit rate when
                  measured over a 100 ms time window.  The time interval
                  over which the variation is specified must be
                  provided.

               Responsiveness to a new bit rate request:  the lag in
                  time between a new bit rate request from the
                  congestion control algorithm and actual rate changes
                  in encoder output.  Depending on the encoder, this
                  value may be specified in absolute time (e.g., 10 ms
                  to 1000 ms) or other appropriate metric (e.g., next
                  frame interval time).

               More detailed discussions on expected media source
               behavior, including those from synthetic video traffic
               sources, can be found in [RFC8593].

            Media content:  describes the chosen video scenario.  For
               example, video test sequences are available at [xiph-seq]
               and [HEVC-seq].  Different video scenarios give different
               distributions of video frames produced by the video
               encoder.  Hence, it is important to specify the media
               content used in a particular test.  If a synthetic video
               traffic source [RFC8593] is used, then the synthetic
               video traffic source needs to be configured according to
               the characteristics of the media content specified.

            Media timeline:  describes the point when the media source
               is introduced and removed from the testbed.  For example,
               the media source may start transmitting immediately when
               the test case begins, or after a few seconds.

            Startup behavior:  the media starts at a defined bit rate,
               which may be the minimum, maximum bit rate, or a value in
               between (in Kbps).

         Competing traffic source:  describes the characteristics of the
            competing traffic source, the different types of competing
            flows are enumerated in [RFC8868].

            Traffic direction:  forward, backward, or both.

            Type of sources:  defines the types of competing traffic
               sources.  Types of competing traffic flows are listed in
               [RFC8868].  For example, the number of TCP flows
               connected to a web browser, the mean size and
               distribution of the content downloaded.

            Number of sources:  defines the total number of competing
               sources of each media type per traffic direction.

            Congestion control:  enumerates the congestion control used
               by each type of competing traffic.

            Traffic timeline:  describes when the competing traffic
               starts and ends in the test case.

      Additional attributes:  describes attributes essential for
         implementing a test case that are not included in the above
         structure.  These attributes must be well defined, so that the
         other implementers of that particular test case are able to
         implement it easily.

   Any attribute can have a set of values (enclosed within "[]").  Each
   member value of such a set must be treated as different value for the
   same attribute.  It is desired to run separate tests for each such
   attribute value.

   The test cases described in this document follow the above structure.

4.  Recommended Evaluation Settings

   This section describes recommended test case settings and could be
   overwritten by the respective test cases.

4.1.  Evaluation Metrics

   To evaluate the performance of the candidate algorithms, the
   implementers must log enough information to visualize the following
   metrics at a fine enough time granularity:

   1.  Flow level:

       A.  End-to-end delay for the congestion-controlled media flow(s).
           For example, end-to-end delay observed on the IP packet level
           and the video frame level.

       B.  Variation in sending bit rate and throughput.  Mainly
           observing the frequency and magnitude of oscillations.

       C.  Packet losses observed at the receiving endpoint.

       D.  Feedback message overhead.

       E.  Convergence time.  Time to reach steady state for the
           congestion-controlled media flow(s).  Each occurrence of
           convergence during the test period needs to be presented.

   2.  Transport level:

       A.  Bandwidth utilization.

       B.  Queue length (milliseconds at specified path capacity).

4.2.  Path Characteristics

   Each path between a sender and receiver as described in Figure 1 has
   the following characteristics unless otherwise specified in the test
   case:

   Path direction:  forward and backward.

   Reference bottleneck capacity:  1 Mbps.

   One-way propagation delay:  50 ms.  Implementers are encouraged to
      run the experiment with additional propagation delays mentioned in
      [RFC8868].

   Maximum end-to-end jitter:  30 ms.  Jitter models are described in
      [RFC8868].

   Bottleneck queue type:  "tail drop".  Implementers are encouraged to
      run the experiment with other Active Queue Management (AQM)
      schemes, such as FQ-CoDel and PIE.

   Bottleneck queue size:  300 ms.

   Path loss ratio:  0%.

   Examples of additional network parameters are discussed in [RFC8868].

   For test cases involving time-varying bottleneck capacity, all
   capacity values are specified as a ratio with respect to a reference
   capacity value, so as to allow flexible scaling of capacity values
   along with media source rate range.  There exist two different
   mechanisms for inducing path capacity variation: a) by explicitly
   modifying the value of physical link capacity, or b) by introducing
   background non-adaptive UDP traffic with time-varying traffic rate.
   Implementers are encouraged to run the experiments with both
   mechanisms for test cases specified in Section 5.1, Section 5.2, and
   Section 5.3.

4.3.  Media Source

   Unless otherwise specified, each test case will include one or more
   media sources as described below:

   Media type:  Video

      Media codec:  VBR

      Media source behavior:

         Adaptability:

            Bit rate range:  150 Kbps - 1.5 Mbps.  In real-life
               applications, the bit rate range can vary a lot depending
               on the provided service; for example, the maximum bit
               rate can be up to 4 Mbps.  However, for running tests to
               evaluate the congestion control algorithms, it is more
               important to have a look at how they react to a certain
               amount of bandwidth change.  Also it is possible that the
               media traffic generator used in a particular simulator or
               testbed is not capable of generating a higher bit rate.
               Hence, we have selected a suitable bit rate range typical
               of consumer-grade video conferencing applications in
               designing the test case.  If a different bit rate range
               is used in the test cases, then the end-to-end path
               capacity values will also need to be scaled accordingly.

            Frame resolution:  144p - 720p (or 1080p).  This resolution
               range is selected based on the bit rate range.  If a
               different bit rate range is used in the test cases, then
               a suitable frame resolution range also needs to be
               selected.

            Frame rate:  10 fps - 30 fps.  This frame rate range is
               selected based on the bit rate range.  If a different bit
               rate range is used in the test cases, then the frame rate
               range also needs to be suitably adjusted.

         Variation from target bit rate:  +/-5%. Unless otherwise
            specified in the test case(s), bit rate variation should be
            calculated over a one (1) second period of time.

         Responsiveness to new bit rate request:  100 ms

      Media content:  The media content should represent a typical video
         conversational scenario with head and shoulder movement.  We
         recommend using the Foreman video sequence [xiph-seq].

      Media startup behavior:  150 Kbps.  It should be noted that
         applications can use smart ways to select an optimal startup
         bit rate value for a certain network condition.  In such cases,
         the candidate proposals may show the effectiveness of such a
         smart approach as additional information for the evaluation
         process.

   Media type:  Audio

      Media codec:  CBR

      Media bit rate:  20 Kbps

5.  Basic Test Cases

5.1.  Variable Available Capacity with a Single Flow

   In this test case, the minimum bottleneck-link capacity between the
   two endpoints varies over time.  This test is designed to measure the
   responsiveness of the candidate algorithm.  This test tries to
   address the requirements in [RFC8836], which requires the algorithm
   to adapt the flow(s) and provide lower end-to-end latency when there
   exists:

   *  an intermediate bottleneck

   *  change in available capacity (e.g., due to interface change,
      routing change, abrupt arrival/departure of background non-
      adaptive traffic)

   *  maximum media bit rate is greater than link capacity.  In this
      case, when the application tries to ramp up to its maximum bit
      rate, since the link capacity is limited to a lower value, the
      congestion control scheme is expected to stabilize the sending bit
      rate close to the available bottleneck capacity.

   It should be noted that the exact variation in available capacity due
   to any of the above depends on the underlying technologies.  Hence,
   we describe a set of known factors, which may be extended to devise a
   more specific test case targeting certain behaviors in a certain
   network environment.

   Expected behavior:  The candidate algorithm is expected to detect the
      path capacity constraint, converge to the bottleneck link's
      capacity, and adapt the flow to avoid unwanted media rate
      oscillation when the sending bit rate is approaching the
      bottleneck link's capacity.  Such oscillations might occur when
      the media flow(s) attempts to reach its maximum bit rate but
      overshoots the usage of the available bottleneck capacity, then to
      rectify, it reduces the bit rate and starts to ramp up again.

   Evaluation metrics:  As described in Section 4.1.

   Testbed topology:  One media source S1 is connected to the
      corresponding R1.  The media traffic is transported over the
      forward path and corresponding feedback/control traffic is
      transported over the backward path.

                                Forward -->
   +---+       +-----+                               +-----+       +---+
   |S1 |=======|  A  |------------------------------>|  B  |=======|R1 |
   +---+       |     |<------------------------------|     |       +---+
               +-----+                               +-----+
                             <-- Backward

            Figure 2: Testbed Topology for Limited Link Capacity

   Testbed attributes:

      Test duration:  100 s

      Path characteristics:  as described in Section 4.2

      Application-related:

         Media Traffic:

            Media type:  Video

               Media direction:  forward

               Number of media sources:  one (1)

               Media timeline:

                  Start time:  0 s

                  End time:  99 s

            Media type:  Audio

               Media direction:  forward

               Number of media sources:  one (1)

               Media timeline:

                  Start time:  0 s

                  End time:  99 s

         Competing traffic:

            Number of sources:  zero (0)

   Test-specific information:

      One-way propagation delay:  [50 ms, 100 ms].  On the forward path
         direction.

      This test uses bottleneck path capacity variation as listed in
      Table 1.

      When using background non-adaptive UDP traffic to induce a time-
      varying bottleneck, the physical path capacity remains at 4 Mbps,
      and the UDP traffic source rate changes over time as (4 - (Y x
      r)), where r is the Reference bottleneck capacity in Mbps, and Y
      is the path capacity ratio specified in Table 1.

   +=========================+================+=======+===============+
   | Variation pattern index | Path direction | Start | Path capacity |
   |                         |                | time  | ratio         |
   +=========================+================+=======+===============+
   | One                     | Forward        | 0 s   | 1.0           |
   +-------------------------+----------------+-------+---------------+
   | Two                     | Forward        | 40 s  | 2.5           |
   +-------------------------+----------------+-------+---------------+
   | Three                   | Forward        | 60 s  | 0.6           |
   +-------------------------+----------------+-------+---------------+
   | Four                    | Forward        | 80 s  | 1.0           |
   +-------------------------+----------------+-------+---------------+

    Table 1: Path Capacity Variation Pattern for the Forward Direction

5.2.  Variable Available Capacity with Multiple Flows

   This test case is similar to Section 5.1.  However, this test will
   also consider persistent network load due to competing traffic.

   Expected behavior:  The candidate algorithm is expected to detect the
      variation in available capacity and adapt the media stream(s)
      accordingly.  The flows stabilize around their maximum bit rate as
      the maximum link capacity is large enough to accommodate the
      flows.  When the available capacity drops, the flows adapt by
      decreasing their sending bit rate, and when congestion disappears,
      the flows are again expected to ramp up.

   Evaluation metrics:  As described in Section 4.1.

   Testbed topology:  Two (2) media sources S1 and S2 are connected to
      their corresponding destinations R1 and R2.  The media traffic is
      transported over the forward path and corresponding feedback/
      control traffic is transported over the backward path.

   +---+                                                         +---+
   |S1 |===== \                                         / =======|R1 |
   +---+      \\             Forward -->               //        +---+
               \\                                     //
               +-----+                               +-----+
               |  A  |------------------------------>|  B  |
               |     |<------------------------------|     |
               +-----+                               +-----+
                 //                                    \\
                //          <-- Backward                \\
   +---+       //                                        \\       +---+
   |S2 |====== /                                          \ ======|R2 |
   +---+                                                          +---+

         Figure 3: Testbed Topology for Variable Available Capacity

   Testbed attributes:  Testbed attributes are similar to those
      described in Section 5.1, except for the test-specific capacity
      variation setup.

   Test-specific information:  This test uses path capacity variation as
      listed in Table 2 with a corresponding end time of 125 seconds.
      The reference bottleneck capacity is 2 Mbps.  When using
      background non-adaptive UDP traffic to induce time-varying
      bottleneck for congestion-controlled media flows, the physical
      path capacity is 4 Mbps, and the UDP traffic source rate changes
      over time as (4 - (Y x r)), where r is the Reference bottleneck
      capacity in Mbps, and Y is the path capacity ratio specified in
      Table 2.

   +=========================+================+=======+===============+
   | Variation pattern index | Path direction | Start | Path capacity |
   |                         |                | time  | ratio         |
   +=========================+================+=======+===============+
   | One                     | Forward        | 0 s   | 2.0           |
   +-------------------------+----------------+-------+---------------+
   | Two                     | Forward        | 25 s  | 1.0           |
   +-------------------------+----------------+-------+---------------+
   | Three                   | Forward        | 50 s  | 1.75          |
   +-------------------------+----------------+-------+---------------+
   | Four                    | Forward        | 75 s  | 0.5           |
   +-------------------------+----------------+-------+---------------+
   | Five                    | Forward        | 100 s | 1.0           |
   +-------------------------+----------------+-------+---------------+

    Table 2: Path Capacity Variation Pattern for the Forward Direction

5.3.  Congested Feedback Link with Bi-directional Media Flows

   Real-time interactive media uses RTP; hence it is assumed that RTCP,
   RTP header extension, or such would be used by the congestion control
   algorithm in the back channel.  Due to the asymmetric nature of the
   link between communicating peers, it is possible for a participating
   peer to not receive such feedback information due to an impaired or
   congested back channel (even when the forward channel might not be
   impaired).  This test case is designed to observe the candidate
   congestion control behavior in such an event.

   Expected behavior:  It is expected that the candidate algorithms are
      able to cope with the lack of feedback information and to adapt to
      minimize the performance degradation of media flows in the forward
      channel.

      It should be noted that for this test case, logs are compared with
      the reference case, i.e., when the backward channel has no
      impairments.

   Evaluation metrics:  As described in Section 4.1.

   Testbed topology:  One (1) media source S1 is connected to
      corresponding R1, but both endpoints are additionally receiving
      and sending data, respectively.  The media traffic (S1->R1) is
      transported over the forward path, and the corresponding feedback/
      control traffic is transported over the backward path.  Likewise,
      media traffic (S2->R2) is transported over the backward path, and
      the corresponding feedback/control traffic is transported over the
      forward path.

   +---+                                                          +---+
   |S1 |====== \                Forward -->              / =======|R1 |
   +---+       \\                                       //        +---+
                \\                                     //
             +-----+                               +-----+
             |  A  |------------------------------>|  B  |
             |     |<------------------------------|     |
             +-----+                               +-----+
                //                                     \\
               //            <-- Backward               \\
   +---+      //                                         \\       +---+
   |R2 |===== /                                           \ ======|S2 |
   +---+                                                          +---+

           Figure 4: Testbed Topology for Congested Feedback Link

   Testbed attributes:

      Test duration:  100 s

      Path characteristics:

         Reference bottleneck capacity:  1 Mbps

      Application-related:

         Media source:

            Media type:  Video

               Media direction:  forward and backward

               Number of media sources:  two (2)

               Media timeline:

                  Start time:  0 s

                  End time:  99 s

            Media type:  Audio

               Media direction:  forward and backward

               Number of media sources:  two (2)

               Media timeline:

                  Start time:  0 s

                  End time:  99 s

         Competing traffic:

            Number of sources:  zero (0)

   Test-specific information:  This test uses path capacity variations
      to create a congested feedback link.  Table 3 lists the variation
      patterns applied to the forward path, and Table 4 lists the
      variation patterns applied to the backward path.  When using
      background non-adaptive UDP traffic to induce a time-varying
      bottleneck for congestion-controlled media flows, the physical
      path capacity is 4 Mbps for both directions, and the UDP traffic
      source rate changes over time as (4-x) Mbps in each direction,
      where x is the bottleneck capacity specified in Table 4.

   +=========================+================+=======+===============+
   | Variation pattern index | Path direction | Start | Path capacity |
   |                         |                | time  | ratio         |
   +=========================+================+=======+===============+
   | One                     | Forward        | 0 s   | 2.0           |
   +-------------------------+----------------+-------+---------------+
   | Two                     | Forward        | 20 s  | 1.0           |
   +-------------------------+----------------+-------+---------------+
   | Three                   | Forward        | 40 s  | 0.5           |
   +-------------------------+----------------+-------+---------------+
   | Four                    | Forward        | 60 s  | 2.0           |
   +-------------------------+----------------+-------+---------------+

    Table 3: Path Capacity Variation Pattern for the Forward Direction

   +=========================+================+=======+===============+
   | Variation pattern index | Path direction | Start | Path capacity |
   |                         |                | time  | ratio         |
   +=========================+================+=======+===============+
   | One                     | Backward       | 0 s   | 2.0           |
   +-------------------------+----------------+-------+---------------+
   | Two                     | Backward       | 35 s  | 0.8           |
   +-------------------------+----------------+-------+---------------+
   | Three                   | Backward       | 70 s  | 2.0           |
   +-------------------------+----------------+-------+---------------+

   Table 4: Path Capacity Variation Pattern for the Backward Direction

5.4.  Competing Media Flows with the Same Congestion Control Algorithm

   In this test case, more than one media flow share the bottleneck
   link, and each of them uses the same congestion control algorithm.
   This is a typical scenario where a real-time interactive application
   sends more than one media flow to the same destination, and these
   flows are multiplexed over the same port.  In such a scenario, it is
   likely that the flows will be routed via the same path and need to
   share the available bandwidth amongst themselves.  For the sake of
   simplicity, it is assumed that there are no other competing traffic
   sources in the bottleneck link and that there is sufficient capacity
   to accommodate all the flows individually.  While this appears to be
   a variant of the test case defined in Section 5.2, it focuses on the
   capacity-sharing aspect of the candidate algorithm.  The previous
   test case, on the other hand, measures adaptability, stability, and
   responsiveness of the candidate algorithm.

   Expected behavior:  It is expected that the competing flows will
      converge to an optimum bit rate to accommodate all the flows with
      minimum possible latency and loss.  Specifically, the test
      introduces three media flows at different time instances.  When
      the second flow appears, there should still be room to accommodate
      another flow on the bottleneck link.  Lastly, when the third flow
      appears, the bottleneck link should be saturated.

   Evaluation metrics:  As described in Section 4.1.

   Testbed topology:  Three media sources S1, S2, and S3 are connected
      to R1, R2, and R3, respectively.  The media traffic is transported
      over the forward path, and the corresponding feedback/control
      traffic is transported over the backward path.

   +---+                                                         +---+
   |S1 |===== \                Forward -->              / =======|R1 |
   +---+      \\                                       //        +---+
               \\                                     //
   +---+       +-----+                               +-----+       +---+
   |S2 |=======|  A  |------------------------------>|  B  |=======|R2 |
   +---+       |     |<------------------------------|     |       +---+
               +-----+                               +-----+
               //          <-- Backward               \\
   +---+      //                                       \\       +---+
   |S3 |===== /                                         \ ======|R3 |
   +---+                                                        +---+

       Figure 5: Testbed Topology for Multiple Congestion-Controlled
                                Media Flows

   Testbed attributes:

      Test duration:  120 s

      Path characteristics:

         Reference bottleneck capacity:  3.5 Mbps

         Path capacity ratio:  1.0

      Application-related:

         Media Source:

            Media type:  Video

               Media direction:  forward

               Number of media sources:  three (3)

               Media timeline:  New media flows are added sequentially,
                  at short time intervals.  See the test-specific setup
                  below.

            Media type:  Audio

               Media direction:  forward

               Number of media sources:  three (3)

               Media timeline:  New media flows are added sequentially,
                  at short time intervals.  See the test-specific setup
                  below.

         Competing traffic:

            Number of sources:  zero (0)

   Test-specific information:  Table 5 defines the media timeline for
      both media types.

             +=========+============+============+==========+
             | Flow ID | Media type | Start time | End time |
             +=========+============+============+==========+
             | 1       | Video      | 0 s        | 119 s    |
             +---------+------------+------------+----------+
             | 2       | Video      | 20 s       | 119 s    |
             +---------+------------+------------+----------+
             | 3       | Video      | 40 s       | 119 s    |
             +---------+------------+------------+----------+
             | 4       | Audio      | 0 s        | 119 s    |
             +---------+------------+------------+----------+
             | 5       | Audio      | 20 s       | 119 s    |
             +---------+------------+------------+----------+
             | 6       | Audio      | 40 s       | 119 s    |
             +---------+------------+------------+----------+

               Table 5: Media Timelines for Video and Audio
                              Media Sources

5.5.  Round Trip Time Fairness

   In this test case, multiple media flows share the bottleneck link,
   but the one-way propagation delay for each flow is different.  For
   the sake of simplicity, it is assumed that there are no other
   competing traffic sources in the bottleneck link and that there is
   sufficient capacity to accommodate all the flows.  While this appears
   to be a variant of test case 5.2 (Section 5.2), it focuses on the
   capacity-sharing aspect of the candidate algorithm under different
   RTTs.

   Expected behavior:  It is expected that the competing flows will
      converge to bit rates to accommodate all the flows with minimum
      possible latency and loss.  The effectiveness of the algorithm
      depends on how fast and fairly the competing flows converge to
      their steady states irrespective of the RTT observed.

   Evaluation metrics:  As described in Section 4.1.

   Testbed topology:  Five (5) media sources S1..S5 are connected to
      their corresponding media sinks R1..R5.  The media traffic is
      transported over the forward path, and the corresponding feedback/
      control traffic is transported over the backward path.  The
      topology is the same as in Section 5.4.

   Testbed attributes:

      Test duration:  300 s

      Path characteristics:

         Reference bottleneck capacity:  4 Mbps

         Path capacity ratio:  1.0

         One-way propagation delay for each flow:  10 ms for S1-R1, 25
            ms for S2-R2, 50 ms for S3-R3, 100 ms for S4-R4, and 150 ms
            S5-R5.

      Application-related:

         Media source:

            Media type:  Video

               Media direction:  forward

               Number of media sources:  five (5)

               Media timeline:  New media flows are added sequentially,
                  at short time intervals.  See the test-specific setup
                  below.

            Media type:  Audio

               Media direction:  forward

               Number of media sources:  five (5)

               Media timeline:  New media flows are added sequentially,
                  at short time intervals.  See the test-specific setup
                  below.

         Competing traffic:

            Number of sources:  zero (0)

   Test-specific information:  Table 6 defines the media timeline for
      both media types.

             +=========+============+============+==========+
             | Flow ID | Media type | Start time | End time |
             +=========+============+============+==========+
             | 1       | Video      | 0 s        | 299 s    |
             +---------+------------+------------+----------+
             | 2       | Video      | 10 s       | 299 s    |
             +---------+------------+------------+----------+
             | 3       | Video      | 20 s       | 299 s    |
             +---------+------------+------------+----------+
             | 4       | Video      | 30 s       | 299 s    |
             +---------+------------+------------+----------+
             | 5       | Video      | 40 s       | 299 s    |
             +---------+------------+------------+----------+
             | 6       | Audio      | 0 s        | 299 s    |
             +---------+------------+------------+----------+
             | 7       | Audio      | 10 s       | 299 s    |
             +---------+------------+------------+----------+
             | 8       | Audio      | 20 s       | 299 s    |
             +---------+------------+------------+----------+
             | 9       | Audio      | 30 s       | 299 s    |
             +---------+------------+------------+----------+
             | 10      | Audio      | 40 s       | 299 s    |
             +---------+------------+------------+----------+

               Table 6: Media Timeline for Video and Audio
                              Media Sources

5.6.  Media Flow Competing with a Long TCP Flow

   In this test case, one or more media flows share the bottleneck link
   with at least one long-lived TCP flow.  Long-lived TCP flows download
   data throughout the session and are expected to have infinite amount
   of data to send and receive.  This is a scenario where a multimedia
   application coexists with a large file download.  The test case
   measures the adaptivity of the candidate algorithm to competing
   traffic.  It addresses requirement 3 in Section 2 of [RFC8836].

   Expected behavior:  Depending on the convergence observed in test
      cases 5.1 and 5.2, the candidate algorithm may be able to avoid
      congestion collapse.  In the worst case, the media stream will
      fall to the minimum media bit rate.

   Evaluation metrics:  Includes the following metrics in addition to
      those described in Section 4.1:

      1.  Flow level:

          a.  TCP throughput

          b.  Loss for the TCP flow

   Testbed topology:  One (1) media source S1 is connected to the
      corresponding media sink, R1.  In addition, there is a long-lived
      TCP flow sharing the same bottleneck link.  The media traffic is
      transported over the forward path, and the corresponding feedback/
      control traffic is transported over the backward path.  The TCP
      traffic goes over the forward path from S_tcp with acknowledgment
      packets going over the backward path from R_tcp.

    +--+                                                     +--+
    |S1|===== \              Forward -->              / =====|R1|
    +--+      \\                                     //      +--+
               \\                                   //
               +-----+                             +-----+
               |  A  |---------------------------->|  B  |
               |     |<----------------------------|     |
               +-----+                             +-----+
               //        <-- Backward               \\
   +-----+    //                                     \\    +-----+
   |S_tcp|=== /                                       \ ===|R_tcp|
   +-----+                                                 +-----+

     Figure 6: Testbed Topology for TCP vs Congestion-Controlled Media
                                   Flows

   Testbed attributes:

      Test duration:  120 s

      Path characteristics:

         Reference bottleneck capacity:  2 Mbps

         Path capacity ratio:  1.0

         Bottleneck queue size:  [300 ms, 1000 ms]

      Application-related:

         Media source:

            Media type:  Video

               Media direction:  forward

               Number of media sources:  one (1)

               Media timeline:

                  Start time:  5 s

                  End time:  119 s

            Media type:  Audio

               Media direction:  forward

               Number of media sources:  one (1)

               Media timeline:

                  Start time:  5 s

                  End time:  119 s

            Additionally, implementers are encouraged to run the
            experiment with multiple media sources.

         Competing traffic:

            Number and types of sources:  one (1) and long-lived TCP

            Traffic direction:  forward

            Congestion control:  default TCP congestion control
               [RFC5681].  Implementers are also encouraged to run the
               experiment with alternative TCP congestion control
               algorithms.

            Traffic timeline:

               Start time:  0 s

               End time:  119 s

   Test-specific information:  none

5.7.  Media Flow Competing with Short TCP Flows

   In this test case, one or more congestion-controlled media flows
   share the bottleneck link with multiple short-lived TCP flows.
   Short-lived TCP flows resemble the on/off pattern observed in web
   traffic, wherein clients (for example, browsers) connect to a server
   and download a resource (typically a web page, few images, text
   files, etc.) using several TCP connections.  This scenario shows the
   performance of a multimedia application when several browser windows
   are active.  The test case measures the adaptivity of the candidate
   algorithm to competing web traffic, and it addresses requirement 1.E
   in Section 2 of [RFC8836].

   Depending on the number of short TCP flows, the cross traffic either
   appears as a short burst flow or resembles a long-lived TCP flow.
   The intention of this test is to observe the impact of a short-term
   burst on the behavior of the candidate algorithm.

   Expected behavior:  The candidate algorithm is expected to avoid flow
      starvation during the presence of short and bursty competing TCP
      flows, streaming at least at the minimum media bit rate.  After
      competing TCP flows terminate, the media streams are expected to
      be robust enough to eventually recover to previous steady state
      behavior, and at the very least, avoid persistent starvation.

   Evaluation metrics:  Includes the following metrics in addition to
      those described in Section 4.1:

      1.  Flow level:

          A.  Variation in the sending rate of the TCP flow

          B.  TCP throughput

   Testbed topology:  The topology described here is the same as the one
      described in Figure 6.

   Testbed attributes:

      Test duration:  300 s

      Path characteristics:

         Reference bottleneck capacity:  2.0 Mbps

         Path capacity ratio:  1.0

      Application-related:

         Media source:

            Media type:  Video

               Media direction:  forward

               Number of media sources:  two (2)

               Media timeline:

                  Start time:  5 s

                  End time:  299 s

            Media type:  Audio

               Media direction:  forward

               Number of media sources:  two (2)

               Media timeline:

                  Start time:  5 s

                  End time:  299 s

         Competing traffic:

            Number and types of sources:  ten (10), short-lived TCP
               flows.

            Traffic direction:  forward

            Congestion algorithm:  default TCP congestion control
               [RFC5681].  Implementers are also encouraged to run the
               experiment with an alternative TCP congestion control
               algorithm.

            Traffic timeline:  Each short TCP flow is modeled as a
               sequence of file downloads interleaved with idle periods.
               Not all short TCP flows start at the same time, two of
               them start in the ON state, while rest of the eight flows
               start in an OFF state.  For a description of the short
               TCP flow model, see test-specific information below.

   Test-specific information:

      Short TCP traffic model:  The short TCP model to be used in this
         test is described in [RFC8868].

5.8.  Media Pause and Resume

   In this test case, more than one real-time interactive media flow
   share the link bandwidth, and all flows reach to a steady state by
   utilizing the link capacity in an optimum way.  At this stage, one of
   the media flows is paused for a moment.  This event will result in
   more available bandwidth for the rest of the flows as they are on a
   shared link.  When the paused media flow resumes, it no longer has
   the same bandwidth share on the link.  It has to make its way through
   the other existing flows in the link to achieve a fair share of the
   link capacity.  This test case is important specially for real-time
   interactive media, which consists of more than one media flows and
   can pause/resume media flows at any point of time during the session.
   This test case directly addresses requirement 5 in Section 2 of
   [RFC8836].  One can think of it as a variation of the test case
   defined in Section 5.4.  However, it is different as the candidate
   algorithms can use different strategies to increase efficiency, for
   example, in terms of fairness, convergence time, oscillation
   reduction, etc., by capitalizing on the fact that they have previous
   information of the link.

   Expected behavior:  During the period where the third stream is
      paused, the two remaining flows are expected to increase their
      rates and reach the maximum media bit rate.  When the third stream
      resumes, all three flows are expected to converge to the same
      original fair share of rates prior to the media pause/resume
      event.

   Evaluation metrics:  Includes the following metrics in addition to
      those described in Section 4.1:

      1.  Flow level:

          A.  Variation in sending bit rate and throughput.  Mainly
              observing the frequency and magnitude of oscillations.

   Testbed topology:  Same as the test case defined in Section 5.4.

   Testbed attributes:  The general description of the testbed
      parameters are the same as Section 5.4 with changes in the test-
      specific setup as below:

      Other test-specific setup:

      Media flow timeline:

         Flow ID:  one (1)

         Start time:  0 s

         Flow duration:  119 s

         Pause time:  not required

         Resume time:  not required

      Media flow timeline:

         Flow ID:  two (2)

         Start time:  0 s

         Flow duration:  119 s

         Pause time:  at 40 s

         Resume time:  at 60 s

      Media flow timeline:

         Flow ID:  three (3)

         Start time:  0 s

         Flow duration:  119 s

         Pause time:  not required

         Resume time:  not required

6.  Other Potential Test Cases

   It has been noticed that there are other interesting test cases
   besides the basic test cases listed above.  In many aspects, these
   additional test cases can help further evaluation of the candidate
   algorithm.  They are listed below.

6.1.  Media Flows with Priority

   In this test case, media flows will have different priority levels.
   This is an extension of Section 5.4 where the same test is run with
   different priority levels imposed on each of the media flows.  For
   example, the first flow (S1) is assigned a priority of 2, whereas the
   remaining two flows (S2 and S3) are assigned a priority of 1.  The
   candidate algorithm must reflect the relative priorities assigned to
   each media flow.  In this case, the first flow (S1) must arrive at a
   steady-state rate approximately twice that of the other two flows (S2
   and S3).

   The candidate algorithm can use a coupled congestion control
   mechanism [RFC8699] or use a weighted priority scheduler for the
   bandwidth distribution according to the respective media flow
   priority or use.

6.2.  Explicit Congestion Notification Usage

   This test case requires running all the basic test cases with the
   availability of Explicit Congestion Notification (ECN) [RFC6679]
   feature enabled.  The goal of this test is to exhibit that the
   candidate algorithms do not fail when ECN signals are available.
   With ECN signals enabled, the algorithms are expected to perform
   better than their delay-based variants.

6.3.  Multiple Bottlenecks

   In this test case, one congestion-controlled media flow, S1->R1,
   traverses a path with multiple bottlenecks.  As illustrated in
   Figure 7, the first flow (S1->R1) competes with the second
   congestion-controlled media flow (S2->R2) over the link between A and
   B, which is close to the sender side.  Again, that flow (S1->R1)
   competes with the third congestion-controlled media flow (S3->R3)
   over the link between C and D, which is close to the receiver side.
   The goal of this test is to ensure that the candidate algorithms work
   properly in the presence of multiple bottleneck links on the end-to-
   end path.

   Expected behavior:  The candidate algorithm is expected to achieve
      full utilization at both bottleneck links without starving any of
      the three congestion-controlled media flows and ensuring fair
      share of the available bandwidth at each bottleneck.

                                Forward ---->

               +---+          +---+        +---+      +---+
               |S2 |          |R2 |        |S3 |      |R3 |
               +---+          +---+        +---+      +---+
                 |              |            |          |
                 |              |            |          |
   +---+      +-----+       +-----+      +-----+     +-----+      +---+
   |S1 |======|  A  |------>|  B  |----->|  C  |---->|  D  |======|R1 |
   +---+      |     |<------|     |<-----|     |<----|     |      +---+
              +-----+       +-----+      +-----+     +-----+

                       1st                       2nd
                Bottleneck (A->B)          Bottleneck (C->D)

                             <------ Backward

            Figure 7: Testbed Topology for Multiple Bottlenecks

   Testbed topology:  Three media sources S1, S2, and S3 are connected
      to respective destinations R1, R2, and R3.  For all three flows,
      the media traffic is transported over the forward path, and the
      corresponding feedback/control traffic is transported over the
      backward path.

   Testbed attributes:

      Test duration:  300 s

      Path characteristics:

         Reference bottleneck capacity:  2 Mbps

         Path capacity ratio between A and B:  1.0

         Path capacity ratio between B and C:  4.0

         Path capacity ratio between C and D:  0.75

         One-way propagation delay:

            Between S1 and R1:  100 ms

            Between S2 and R2:  40 ms

            Between S3 and R3:  40 ms

      Application-related:

         Media source:

            Media type:  Video

               Media direction:  Forward

               Number of media sources:  Three (3)

               Media timeline:

                  Start time:  0 s

                  End time:  299 s

            Media type:  Audio

               Media direction:  Forward

               Number of media sources:  Three (3)

               Media timeline:

                  Start time:  0 s

                  End time:  299 s

         Competing traffic:

            Number of sources:  Zero (0)

7.  Wireless Access Links

   Additional wireless network (both cellular network and Wi-Fi network)
   specific test cases are defined in [RFC8869].

8.  Security Considerations

   The security considerations in Section 6 of [RFC8868] and the
   relevant congestion control algorithms apply.  The principles for
   congestion control are described in [RFC2914], and in particular any
   new method must implement safeguards to avoid congestion collapse of
   the Internet.

   The evaluation of the test cases are intended to be run in a
   controlled lab environment.  Hence, the applications, simulators, and
   network nodes ought to be well-behaved and should not impact the
   desired results.  Moreover, proper measures must be taken to avoid
   leaking nonresponsive traffic from unproven congestion avoidance
   techniques onto the open Internet.

9.  IANA Considerations

   This document has no IANA actions.

10.  References

10.1.  Normative References

   [RFC3550]  Schulzrinne, H., Casner, S., Frederick, R., and V.
              Jacobson, "RTP: A Transport Protocol for Real-Time
              Applications", STD 64, RFC 3550, DOI 10.17487/RFC3550,
              July 2003, <https://www.rfc-editor.org/info/rfc3550>.

   [RFC3551]  Schulzrinne, H. and S. Casner, "RTP Profile for Audio and
              Video Conferences with Minimal Control", STD 65, RFC 3551,
              DOI 10.17487/RFC3551, July 2003,
              <https://www.rfc-editor.org/info/rfc3551>.

   [RFC3611]  Friedman, T., Ed., Caceres, R., Ed., and A. Clark, Ed.,
              "RTP Control Protocol Extended Reports (RTCP XR)",
              RFC 3611, DOI 10.17487/RFC3611, November 2003,
              <https://www.rfc-editor.org/info/rfc3611>.

   [RFC4585]  Ott, J., Wenger, S., Sato, N., Burmeister, C., and J. Rey,
              "Extended RTP Profile for Real-time Transport Control
              Protocol (RTCP)-Based Feedback (RTP/AVPF)", RFC 4585,
              DOI 10.17487/RFC4585, July 2006,
              <https://www.rfc-editor.org/info/rfc4585>.

   [RFC5506]  Johansson, I. and M. Westerlund, "Support for Reduced-Size
              Real-Time Transport Control Protocol (RTCP): Opportunities
              and Consequences", RFC 5506, DOI 10.17487/RFC5506, April
              2009, <https://www.rfc-editor.org/info/rfc5506>.

   [RFC5681]  Allman, M., Paxson, V., and E. Blanton, "TCP Congestion
              Control", RFC 5681, DOI 10.17487/RFC5681, September 2009,
              <https://www.rfc-editor.org/info/rfc5681>.

   [RFC6679]  Westerlund, M., Johansson, I., Perkins, C., O'Hanlon, P.,
              and K. Carlberg, "Explicit Congestion Notification (ECN)
              for RTP over UDP", RFC 6679, DOI 10.17487/RFC6679, August
              2012, <https://www.rfc-editor.org/info/rfc6679>.

   [RFC8593]  Zhu, X., Mena, S., and Z. Sarker, "Video Traffic Models
              for RTP Congestion Control Evaluations", RFC 8593,
              DOI 10.17487/RFC8593, May 2019,
              <https://www.rfc-editor.org/info/rfc8593>.

   [RFC8836]  Jesup, R. and Z. Sarker, Ed., "Congestion Control
              Requirements for Interactive Real-Time Media", RFC 8836,
              DOI 10.17487/RFC8836, January 2021,
              <https://www.rfc-editor.org/info/rfc8836>.

   [RFC8868]  Singh, V., Ott, J., and S. Holmer, "Evaluating Congestion
              Control for Interactive Real-Time Media", RFC 8868,
              DOI 10.17487/RFC8868, January 2021,
              <https://www.rfc-editor.org/info/rfc8868>.

   [RFC8869]  Sarker, Z., Zhu, X., and J. Fu, "Evaluation Test Cases for
              Interactive Real-Time Media over Wireless Networks",
              RFC 8869, DOI 10.17487/RFC8869, January 2021,
              <https://www.rfc-editor.org/info/rfc8869>.

10.2.  Informative References

   [HEVC-seq] HEVC, "Test Sequences",
              <http://www.netlab.tkk.fi/~varun/test_sequences/>.

   [RFC2914]  Floyd, S., "Congestion Control Principles", BCP 41,
              RFC 2914, DOI 10.17487/RFC2914, September 2000,
              <https://www.rfc-editor.org/info/rfc2914>.

   [RFC7567]  Baker, F., Ed. and G. Fairhurst, Ed., "IETF
              Recommendations Regarding Active Queue Management",
              BCP 197, RFC 7567, DOI 10.17487/RFC7567, July 2015,
              <https://www.rfc-editor.org/info/rfc7567>.

   [RFC8033]  Pan, R., Natarajan, P., Baker, F., and G. White,
              "Proportional Integral Controller Enhanced (PIE): A
              Lightweight Control Scheme to Address the Bufferbloat
              Problem", RFC 8033, DOI 10.17487/RFC8033, February 2017,
              <https://www.rfc-editor.org/info/rfc8033>.

   [RFC8290]  Hoeiland-Joergensen, T., McKenney, P., Taht, D., Gettys,
              J., and E. Dumazet, "The Flow Queue CoDel Packet Scheduler
              and Active Queue Management Algorithm", RFC 8290,
              DOI 10.17487/RFC8290, January 2018,
              <https://www.rfc-editor.org/info/rfc8290>.

   [RFC8699]  Islam, S., Welzl, M., and S. Gjessing, "Coupled Congestion
              Control for RTP Media", RFC 8699, DOI 10.17487/RFC8699,
              January 2020, <https://www.rfc-editor.org/info/rfc8699>.

   [xiph-seq] Xiph.org, "Video Test Media",
              <http://media.xiph.org/video/derf/>.

Acknowledgments

   Much of this document is derived from previous work on congestion
   control at the IETF.

   The content and concepts within this document are a product of the
   discussion carried out within the Design Team.

Authors' Addresses

   Zaheduzzaman Sarker
   Ericsson AB
   Torshamnsgatan 23
   SE-164 83 Stockholm
   Sweden

   Phone: +46 10 717 37 43
   Email: zaheduzzaman.sarker@ericsson.com

   Varun Singh
   CALLSTATS I/O Oy
   Rauhankatu 11 C
   FI-00100 Helsinki
   Finland

   Email: varun.singh@iki.fi
   URI:   http://www.callstats.io/

   Xiaoqing Zhu
   Cisco Systems
   12515 Research Blvd
   Austin, TX 78759
   United States of America

   Email: xiaoqzhu@cisco.com

   Michael A. Ramalho
   AcousticComms Consulting
   6310 Watercrest Way Unit 203
   Lakewood Ranch, FL 34202-5211
   United States of America

   Phone: +1 732 832 9723
   Email: mar42@cornell.edu
   URI:   http://ramalho.webhop.info/