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draft-ietf-rmcat-eval-criteria-07.txt
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RMCAT WG V. Singh
Internet-Draft callstats.io
Intended status: Informational J. Ott
Expires: November 2, 2018 Technical University of Munich
S. Holmer
Google
May 1, 2018
Evaluating Congestion Control for Interactive Real-time Media
draft-ietf-rmcat-eval-criteria-07
Abstract
The Real-time Transport Protocol (RTP) is used to transmit media in
telephony and video conferencing applications. This document
describes the guidelines to evaluate new congestion control
algorithms for interactive point-to-point real-time media.
Status of This Memo
This Internet-Draft is submitted in full conformance with the
provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering
Task Force (IETF). Note that other groups may also distribute
working documents as Internet-Drafts. The list of current Internet-
Drafts is 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 November 2, 2018.
Copyright Notice
Copyright (c) 2018 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
(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
Singh, et al. Expires November 2, 2018 [Page 1]
Internet-Draft Evaluating Congestion Control for RMCAT May 2018
the Trust Legal Provisions and are provided without warranty as
described in the Simplified BSD License.
Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 3
2. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 3
3. Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
3.1. RTP Log Format . . . . . . . . . . . . . . . . . . . . . 5
4. List of Network Parameters . . . . . . . . . . . . . . . . . 5
4.1. One-way Propagation Delay . . . . . . . . . . . . . . . . 5
4.2. End-to-end Loss . . . . . . . . . . . . . . . . . . . . . 5
4.3. DropTail Router Queue Length . . . . . . . . . . . . . . 6
4.4. Loss generation model . . . . . . . . . . . . . . . . . . 6
4.5. Jitter models . . . . . . . . . . . . . . . . . . . . . . 6
4.5.1. Random Bounded PDV (RBPDV) . . . . . . . . . . . . . 7
4.5.2. Approximately Random Subject to No-Reordering Bounded
PDV (NR-RPVD) . . . . . . . . . . . . . . . . 8
4.5.3. Recommended distribution . . . . . . . . . . . . . . 9
5. WiFi or Cellular Links . . . . . . . . . . . . . . . . . . . 9
6. Traffic Models . . . . . . . . . . . . . . . . . . . . . . . 9
6.1. TCP taffic model . . . . . . . . . . . . . . . . . . . . 9
6.2. RTP Video model . . . . . . . . . . . . . . . . . . . . . 10
6.3. Background UDP . . . . . . . . . . . . . . . . . . . . . 10
7. Security Considerations . . . . . . . . . . . . . . . . . . . 10
8. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 10
9. Contributors . . . . . . . . . . . . . . . . . . . . . . . . 10
10. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 10
11. References . . . . . . . . . . . . . . . . . . . . . . . . . 11
11.1. Normative References . . . . . . . . . . . . . . . . . . 11
11.2. Informative References . . . . . . . . . . . . . . . . . 12
Appendix A. Application Trade-off . . . . . . . . . . . . . . . 13
A.1. Measuring Quality . . . . . . . . . . . . . . . . . . . . 13
Appendix B. Change Log . . . . . . . . . . . . . . . . . . . . . 13
B.1. Changes in draft-ietf-rmcat-eval-criteria-07 . . . . . . 13
B.2. Changes in draft-ietf-rmcat-eval-criteria-06 . . . . . . 13
B.3. Changes in draft-ietf-rmcat-eval-criteria-05 . . . . . . 14
B.4. Changes in draft-ietf-rmcat-eval-criteria-04 . . . . . . 14
B.5. Changes in draft-ietf-rmcat-eval-criteria-03 . . . . . . 14
B.6. Changes in draft-ietf-rmcat-eval-criteria-02 . . . . . . 14
B.7. Changes in draft-ietf-rmcat-eval-criteria-01 . . . . . . 14
B.8. Changes in draft-ietf-rmcat-eval-criteria-00 . . . . . . 14
B.9. Changes in draft-singh-rmcat-cc-eval-04 . . . . . . . . . 14
B.10. Changes in draft-singh-rmcat-cc-eval-03 . . . . . . . . . 15
B.11. Changes in draft-singh-rmcat-cc-eval-02 . . . . . . . . . 15
B.12. Changes in draft-singh-rmcat-cc-eval-01 . . . . . . . . . 15
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 15
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1. Introduction
This memo describes the guidelines to help with evaluating new
congestion control algorithms for interactive point-to-point real
time media. The requirements for the congestion control algorithm
are outlined in [I-D.ietf-rmcat-cc-requirements]). This document
builds upon previous work at the IETF: Specifying New Congestion
Control Algorithms [RFC5033] and Metrics for the Evaluation of
Congestion Control Algorithms [RFC5166].
The guidelines proposed in the document are intended to help prevent
a congestion collapse, promote fair capacity usage and optimize the
media flow's throughput. Furthermore, the proposed algorithms are
expected to operate within the envelope of the circuit breakers
defined in RFC8083 [RFC8083].
This document only provides broad-level criteria for evaluating a new
congestion control algorithm. The minimal requirement for RMCAT
proposals is to produce or present results for the test scenarios
described in [I-D.ietf-rmcat-eval-test] (Basic Test Cases).
Additionally, proponents may produce evaluation results for the
wireless test scenarios [I-D.ietf-rmcat-wireless-tests].
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]
apply.
3. Metrics
Each experiment is expected to log every incoming and outgoing packet
(the RTP logging format is described in Section 3.1). The logging
can be done inside the application or at the endpoints using PCAP
(packet capture, e.g., tcpdump, wireshark). The following are
calculated based on the information in the packet logs:
1. Sending rate, Receiver rate, Goodput (measured at 200ms
intervals)
2. Packets sent, Packets received
3. Bytes sent, bytes received
4. Packet delay
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5. Packets lost, Packets discarded (from the playout or de-jitter
buffer)
6. If using, retransmission or FEC: post-repair loss
7. Self-Fairness and Fairness with respect to cross traffic:
Experiments testing a given RMCAT proposal must report on
relative ratios of the average throughput (measured at coarser
time intervals) obtained by each RMCAT stream. In the presence
of background cross-traffic such as TCP, the report must also
include the relative ratio between average throughput of RMCAT
streams and cross-traffic streams.
During static periods of a test (i.e., when bottleneck bandwidth
is constant and no arrival/departure of streams), these report
on relative ratios serve as an indicator of how fair the RMCAT
streams share bandwidth amongst themselves and against cross-
traffic streams. The throughput measurement interval should be
set at a few values (for example, at 1s, 5s, and 20s) in order
to measure fairness across different time scales.
As a general guideline, the relative ratio between RMCAT flows
with the same priority level and similar path RTT should be
bounded between (0.333 and 3.) For example, see the test
scenarios described in [I-D.ietf-rmcat-eval-test].
8. Convergence time: The time taken to reach a stable rate at
startup, after the available link capacity changes, or when new
flows get added to the bottleneck link.
9. Instability or oscillation in the sending rate: The frequency or
number of instances when the sending rate oscillates between an
high watermark level and a low watermark level, or vice-versa in
a defined time window. For example, the watermarks can be set
at 4x interval: 500 Kbps, 2 Mbps, and a time window of 500ms.
10. [Editor's note: Section 3, in [I-D.ietf-netvc-testing] contains
objective Metrics for evaluating codecs.]
11. Bandwidth Utilization, defined as ratio of the instantaneous
sending rate to the instantaneous bottleneck capacity. This
metric is useful only when an RMCAT flow is by itself or
competing with similar cross-traffic.
From the logs the statistical measures (min, max, mean, standard
deviation and variance) for the whole duration or any specific part
of the session can be calculated. Also the metrics (sending rate,
receiver rate, goodput, latency) can be visualized in graphs as
variation over time, the measurements in the plot are at 1 second
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intervals. Additionally, from the logs it is possible to plot the
histogram or CDF of packet delay.
3.1. RTP Log Format
The log file is tab or comma separated containing the following
details:
Send or receive timestamp (unix)
RTP payload type
SSRC
RTP sequence no
RTP timestamp
marker bit
payload size
If the congestion control implements, retransmissions or FEC, the
evaluation should report both packet loss (before applying error-
resilience) and residual packet loss (after applying error-
resilience).
4. List of Network Parameters
The implementors initially are encouraged to choose evaluation
settings from the following values:
4.1. One-way Propagation Delay
Experiments are expected to verify that the congestion control is
able to work in challenging situations, for example over trans-
continental and/or satellite links. Typical values are:
1. Very low latency: 0-1ms
2. Low latency: 50ms
3. High latency: 150ms
4. Extreme latency: 300ms
4.2. End-to-end Loss
To model lossy links, the experiments can choose one of the following
loss rates, the fractional loss is the ratio of packets lost and
packets sent.
1. no loss: 0%
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2. 1%
3. 5%
4. 10%
5. 20%
4.3. DropTail Router Queue Length
The router queue length is measured as the time taken to drain the
FIFO queue. It has been noted in various discussions that the queue
length in the current deployed Internet varies significantly. While
the core backbone network has very short queue length, the home
gateways usually have larger queue length. Those various queue
lengths can be categorized in the following way:
1. QoS-aware (or short): 70ms
2. Nominal: 300-500ms
3. Buffer-bloated: 1000-2000ms
Here the size of the queue is measured in bytes or packets and to
convert the queue length measured in seconds to queue length in
bytes:
QueueSize (in bytes) = QueueSize (in sec) x Throughput (in bps)/8
4.4. Loss generation model
Many models for generating packet loss are available, some yield
correlated, others independent losses; losses can also be extracted
from packet traces. As a (simple) minimum loss model with minimal
parameterization (i.e., the loss rate), independent random losses
must be used in the evaluation.
It is known that independent loss models may reflect reality poorly
and hence more sophisticated loss models could be considered.
Suitable models for correlated losses includes the Gilbert-Elliot
model and losses generated by modeling a queue including its
(different) drop behaviors.
4.5. Jitter models
This section defines jitter models for the purposes of this document.
When jitter is to be applied to both the RMCAT flow and any competing
flow (such as a TCP competing flow), the competing flow will use the
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jitter definition below that does not allow for re-ordering of
packets on the competing flow (see NR-RBPDV definition below).
Jitter is an overloaded term in communications. Its meaning is
typically associated with the variation of a metric (e.g., delay)
with respect to some reference metric (e.g., average delay or minimum
delay). For example, RFC 3550 jitter is a smoothed estimate of
jitter which is particularly meaningful if the underlying packet
delay variation was caused by a Gaussian random process.
Because jitter is an overloaded term, we instead use the term Packet
Delay Variation (PDV) to describe the variation of delay of
individual packets in the same sense as the IETF IPPM WG has defined
PDV in their documents (e.g., RFC 3393) and as the ITU-T SG16 has
defined IP Packet Delay Variation (IPDV) in their documents (e.g.,
Y.1540).
Most PDV distributions in packet network systems are one-sided
distributions (the measurement of which with a finite number of
measurement samples result in one-sided histograms). In the usual
packet network transport case there is typically one packet that
transited the network with the minimum delay, then a majority of
packets also transit the system within some variation from this
minimum delay, and then a minority of the packets transit the network
with delays higher than the median or average transit time (these are
outliers). Although infrequent, outliers can cause significant
deleterious operation in adaptive systems and should be considered in
RMCAT adaptation designs.
In this section we define two different bounded PDV characteristics,
1) Random Bounded PDV and 2) Approximately Random Subject to No-
Reordering Bounded PDV.
The former, 1) Random Bounded PDV is presented for information only,
while the latte, 2) Approximately Random Subject to No-Reordering
Bounded PDV, must be used in the evaluation.
4.5.1. Random Bounded PDV (RBPDV)
The RBPDV probability distribution function (pdf) is specified to be
of some mathematically describable function which includes some
practical minimum and maximum discrete values suitable for testing.
For example, the minimum value, x_min, might be specified as the
minimum transit time packet and the maximum value, x_max, might be
idefined to be two standard deviations higher than the mean.
Since we are typically interested in the distribution relative to the
mean delay packet, we define the zero mean PDV sample, z(n), to be
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z(n) = x(n) - x_mean, where x(n) is a sample of the RBPDV random
variable x and x_mean is the mean of x.
We assume here that s(n) is the original source time of packet n and
the post-jitter induced emmission time, j(n), for packet n is j(n) =
{[z(n) + x_mean] + s(n)}. It follows that the separation in the post-
jitter time of packets n and n+1 is {[s(n+1)-s(n)] - [z(n)-z(n+1)]}.
Since the first term is always a positive quantity, we note that
packet reordering at the receiver is possible whenever the second
term is greater than the first. Said another way, whenever the
difference in possible zero mean PDV sample delays (i.e., [x_max-
x_min]) exceeds the inter-departure time of any two sent packets, we
have the possibility of packet re-ordering.
There are important use cases in real networks where packets can
become re-ordered such as in load balancing topologies and during
route changes. However, for the vast majority of cases there is no
packet re-ordering because most of the time packets follow the same
path. Due to this, if a packet becomes overly delayed, the packets
after it on that flow are also delayed. This is especially true for
mobile wireless links where there are per-flow queues prior to base
station scheduling. Owing to this important use case, we define
another PDV profile similar to the above, but one that does not allow
for re-ordering within a flow.
4.5.2. Approximately Random Subject to No-Reordering Bounded PDV (NR-
RPVD)
No Reordering RPDV, NR-RPVD, is defined similarly to the above with
one important exception. Let serial(n) be defined as the
serialization delay of packet n at the lowest bottleneck link rate
(or other appropriate rate) in a given test. Then we produce all the
post-jitter values for j(n) for n = 1, 2, ... N, where N is the
length of the source sequence s to be offset-ed. The exception can
be stated as follows: We revisit all j(n) beginning from index n=2,
and if j(n) is determined to be less than [j(n-1)+serial(n-1)], we
redefine j(n) to be equal to [j(n-1)+serial(n-1)] and continue for
all remaining n (i.e., n = 3, 4, .. N). This models the case where
the packet n is sent immediately after packet (n-1) at the bottleneck
link rate. Although this is generally the theoretical minimum in
that it assumes that no other packets from other flows are in-between
packet n and n+1 at the bottleneck link, it is a reasonable
assumption for per flow queuing.
We note that this assumption holds for some important exception
cases, such as packets immediately following outliers. There are a
multitude of software controlled elements common on end-to-end
Internet paths (such as firewalls, ALGs and other middleboxes) which
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stop processing packets while servicing other functions (e.g.,
garbage collection). Often these devices do not drop packets, but
rather queue them for later processing and cause many of the
outliers. Thus NR-RPVD models this particular use case (assuming
serial(n+1) is defined appropriately for the device causing the
outlier) and thus is believed to be important for adaptation
development for RMCAT.
4.5.3. Recommended distribution
It is recommended that z(n) is distributed according to a truncated
Gaussian:
z(n) ~ |max(min(N(0, std^2), N_STD * std), -N_STD * std)|
where N(0, std^2) is the Gaussian distribution with zero mean and
standard deviation std. Recommended values:
o std = 5 ms
o N_STD = 3
5. WiFi or Cellular Links
[I-D.ietf-rmcat-wireless-tests] describes the test cases to simulate
networks with wireless links. The document describes mechanism to
simulate both cellular and WiFi networks.
6. Traffic Models
6.1. TCP taffic model
Long-lived TCP flows will download data throughout the session and
are expected to have infinite amount of data to send or receive. For
example, to
Each short TCP flow is modeled as a sequence of file downloads
interleaved with idle periods. Not all short TCPs start at the same
time, i.e., some start in the ON state while others start in the OFF
state.
The short TCP flows can be modelled as follows: 30 connections start
simultaneously fetching small (30-50 KB) amounts of data. This
covers the case where the short TCP flows are not fetching a video
file.
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The idle period between bursts of starting a group of TCP flows is
typically derived from an exponential distribution with the mean
value of 10 seconds.
[These values were picked based on the data available at
http://httparchive.org/interesting.php as of October 2015].
6.2. RTP Video model
[I-D.ietf-rmcat-video-traffic-model] describes two types of video
traffic models for evaluating RMCAT candidate algorithms. The first
model statistically characterizes the behavior of a video encoder.
Whereas the second model uses video traces.
For example, test sequences are available at: [xiph-seq] and
[HEVC-seq]. The currently chosen video streams are: Foreman and
FourPeople.
6.3. Background UDP
Background UDP flow is modeled as a constant bit rate (CBR) flow. It
will download data at a particular CBR rate for the complete session,
or will change to particular CBR rate at predefined intervals. The
inter packet interval is calculated based on the CBR and the packet
size (is typically set to the path MTU size, the default value can be
1500 bytes).
7. Security Considerations
Security issues have not been discussed in this memo.
8. IANA Considerations
There are no IANA impacts in this memo.
9. Contributors
The content and concepts within this document are a product of the
discussion carried out in the Design Team.
Michael Ramalho provided the text for the Jitter model.
10. Acknowledgements
Much of this document is derived from previous work on congestion
control at the IETF.
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The authors would like to thank Harald Alvestrand, Anna Brunstrom,
Luca De Cicco, Wesley Eddy, Lars Eggert, Kevin Gross, Vinayak Hegde,
Stefan Holmer, Randell Jesup, Mirja Kuehlewind, Karen Nielsen, Piers
O'Hanlon, Colin Perkins, Michael Ramalho, Zaheduzzaman Sarker,
Timothy B. Terriberry, Michael Welzl, Mo Zanaty, and Xiaoqing Zhu
for providing valuable feedback on earlier versions of this draft.
Additionally, also thank the participants of the design team for
their comments and discussion related to the evaluation criteria.
11. References
11.1. Normative References
[I-D.ietf-rmcat-cc-requirements]
Jesup, R. and Z. Sarker, "Congestion Control Requirements
for Interactive Real-Time Media", draft-ietf-rmcat-cc-
requirements-09 (work in progress), December 2014.
[I-D.ietf-rmcat-wireless-tests]
Sarker, Z., Johansson, I., Zhu, X., Fu, J., Tan, W., and
M. Ramalho, "Evaluation Test Cases for Interactive Real-
Time Media over Wireless Networks", draft-ietf-rmcat-
wireless-tests-04 (work in progress), May 2017.
[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>.
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[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>.
[RFC8083] Perkins, C. and V. Singh, "Multimedia Congestion Control:
Circuit Breakers for Unicast RTP Sessions", RFC 8083,
DOI 10.17487/RFC8083, March 2017, <https://www.rfc-
editor.org/info/rfc8083>.
11.2. Informative References
[HEVC-seq]
HEVC, "Test Sequences",
http://www.netlab.tkk.fi/~varun/test_sequences/ .
[I-D.ietf-netvc-testing]
Daede, T., Norkin, A., and I. Brailovskiy, "Video Codec
Testing and Quality Measurement", draft-ietf-netvc-
testing-06 (work in progress), October 2017.
[I-D.ietf-rmcat-eval-test]
Sarker, Z., Singh, V., Zhu, X., and M. Ramalho, "Test
Cases for Evaluating RMCAT Proposals", draft-ietf-rmcat-
eval-test-05 (work in progress), April 2017.
[I-D.ietf-rmcat-video-traffic-model]
Zhu, X., Cruz, S., and Z. Sarker, "Modeling Video Traffic
Sources for RMCAT Evaluations", draft-ietf-rmcat-video-
traffic-model-04 (work in progress), January 2018.
[RFC5033] Floyd, S. and M. Allman, "Specifying New Congestion
Control Algorithms", BCP 133, RFC 5033,
DOI 10.17487/RFC5033, August 2007, <https://www.rfc-
editor.org/info/rfc5033>.
[RFC5166] Floyd, S., Ed., "Metrics for the Evaluation of Congestion
Control Mechanisms", RFC 5166, DOI 10.17487/RFC5166, March
2008, <https://www.rfc-editor.org/info/rfc5166>.
[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>.
[SA4-LR] S4-050560, 3GPP., "Error Patterns for MBMS Streaming over
UTRAN and GERAN", 3GPP S4-050560, 5 2008.
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[TCP-eval-suite]
Lachlan, A., Marcondes, C., Floyd, S., Dunn, L., Guillier,
R., Gang, W., Eggert, L., Ha, S., and I. Rhee, "Towards a
Common TCP Evaluation Suite", Proc. PFLDnet. 2008, August
2008.
[xiph-seq]
Daede, T., "Video Test Media Set",
https://people.xiph.org/~tdaede/sets/ .
Appendix A. Application Trade-off
Application trade-off is yet to be defined. see RMCAT requirements
[I-D.ietf-rmcat-cc-requirements] document. Perhaps each experiment
should define the application's expectation or trade-off.
A.1. Measuring Quality
No quality metric is defined for performance evaluation, it is
currently an open issue. However, there is consensus that congestion
control algorithm should be able to show that it is useful for
interactive video by performing analysis using a real codec and video
sequences.
Appendix B. Change Log
Note to the RFC-Editor: please remove this section prior to
publication as an RFC.
B.1. Changes in draft-ietf-rmcat-eval-criteria-07
Updated the draft according to the discussion at IETF-101.
o Updated the discussion on fairness. Thanks to Xiaoqing Zhu for
providing text.
o Fixed a simple loss model and provided pointers to more
sophisticated ones.
o Fixed the choice of the jitter model.
B.2. Changes in draft-ietf-rmcat-eval-criteria-06
o Updated Jitter.
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B.3. Changes in draft-ietf-rmcat-eval-criteria-05
o Improved text surrounding wireless tests, video sequences, and
short-TCP model.
B.4. Changes in draft-ietf-rmcat-eval-criteria-04
o Removed the guidelines section, as most of the sections are now
covered: wireless tests, video model, etc.
o Improved Short TCP model based on the suggestion to use
httparchive.org.
B.5. Changes in draft-ietf-rmcat-eval-criteria-03
o Keep-alive version.
o Moved link parameters and traffic models from eval-test
B.6. Changes in draft-ietf-rmcat-eval-criteria-02
o Incorporated fairness test as a working test.
o Updated text on mimimum evaluation requirements.
B.7. Changes in draft-ietf-rmcat-eval-criteria-01
o Removed Appendix B.
o Removed Section on Evaluation Parameters.
B.8. Changes in draft-ietf-rmcat-eval-criteria-00
o Updated references.
o Resubmitted as WG draft.
B.9. Changes in draft-singh-rmcat-cc-eval-04
o Incorporate feedback from IETF 87, Berlin.
o Clarified metrics: convergence time, bandwidth utilization.
o Changed fairness criteria to fairness test.
o Added measuring pre- and post-repair loss.
o Added open issue of measuring video quality to appendix.
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o clarified use of DropTail and AQM.
o Updated text in "Minimum Requirements for Evaluation"
B.10. Changes in draft-singh-rmcat-cc-eval-03
o Incorporate the discussion within the design team.
o Added a section on evaluation parameters, it describes the flow
and network characteristics.
o Added Appendix with self-fairness experiment.
o Changed bottleneck parameters from a proposal to an example set.
o
B.11. Changes in draft-singh-rmcat-cc-eval-02
o Added scenario descriptions.
B.12. Changes in draft-singh-rmcat-cc-eval-01
o Removed QoE metrics.
o Changed stability to steady-state.
o Added measuring impact against few and many flows.
o Added guideline for idle and data-limited periods.
o Added reference to TCP evaluation suite in example evaluation
scenarios.
Authors' Addresses
Varun Singh
CALLSTATS I/O Oy
Runeberginkatu 4c A 4
Helsinki 00100
Finland
Email: varun@callstats.io
URI: https://www.callstats.io/about
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Joerg Ott
Technical University of Munich
Faculty of Informatics
Boltzmannstrasse 3
Garching bei Muenchen, DE 85748
Germany
Email: ott@in.tum.de
Stefan Holmer
Google
Kungsbron 2
Stockholm 11122
Sweden
Email: holmer@google.com
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