One document matched: draft-lochin-ietf-tsvwg-gtfrc-01.txt
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Network Working Group E. Lochin
Internet-Draft National ICT Australia
Expires: December 3, 2006 L. Dairaine
ENSICA - LAAS/CNRS
G. Jourjon
National ICT Australia
June 2006
Guaranteed TCP Friendly Rate Control (gTFRC) for DiffServ/AF Network
draft-lochin-ietf-tsvwg-gtfrc-01
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Copyright (C) The Internet Society (2006).
Abstract
This memo introduces gTFRC, a TCP-Friendly Rate Control providing
throughput guarantee over the DiffServ/AF class. gTFRC is largely
based on TFRC [2]. It provides a mean to take into account the
quality of service negotiated with the network. As a result, the
mechanism is able to reach a minimum throughput guarantee whatever
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the flow's RTT and target rate.
Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 3
2. Guaranteed TCP Friendly Rate Control . . . . . . . . . . . . . 4
2.1. Transmit rate equation . . . . . . . . . . . . . . . . . . 4
2.2. Target rate default value . . . . . . . . . . . . . . . . 4
2.3. Target rate setting . . . . . . . . . . . . . . . . . . . 4
3. Simulation of gTFRC . . . . . . . . . . . . . . . . . . . . . 5
3.1. Model and hypothesis . . . . . . . . . . . . . . . . . . . 5
3.2. Results . . . . . . . . . . . . . . . . . . . . . . . . . 6
3.3. Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 7
4. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . 8
5. References . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . . 9
Intellectual Property and Copyright Statements . . . . . . . . . . 10
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1. Introduction
This memo introduces gTFRC, a TCP-Friendly rate control providing
throughput guarantee for unicast flows over the DiffServ/AF class.
gTFRC is an adaptation of the TCP-friendly Rate Control (TFRC) [2].
This document only specifies the modification of TFRC and do not
present the core TFRC mechanism that remain unchanged.
TFRC is a congestion control mechanism for unicast flows operating in
a best-effort Internet environment[2]. Based on the TCP throughput
equation, it is designed to be reasonably fair when competing for
bandwidth with TCP flow. It generates a flow with a much lower
variation of throughput over time than TCP. As a result, it is
particularly suitable for multimedia application such as video
streaming or telephony over Internet.
The DiffServ Assured Forwarding Class [1] has been designed to
provide a guaranteed minimal throughput that many multimedia
applications can take advantage of. The service offers is called
Assured Service (AS) and built over the AF PHB. The minimum
guaranteed throughput (also called target rate) is supposed to be
known after a negotiation phase involving application level software.
Adaptive application can make use of this guarantee, allowing to rely
on a minimum rate when the network is congested, and possibly using
higher rate otherwise. In this service class, a congestion control
is required in such a way to discover the current available bandwidth
and share it fairly with other competing flows. Nevertheless, due to
the minimum bandwidth guarantee, the congestion control mechanism
should never reduce the flow throughput at a value less than the
negotiated guaranty.
When TFRC is used over a DiffServ/AF network, in spite of a good
behavior in term of available bandwidth sharing, it not always reach
the target rate. Even if the target rate is finally reached, a long
time can happened (several tens of seconds) before the flow rate
converges to this value. Then, depending on end-to-end delay and the
loss probability of the various connections, the application does not
obtained the requested target rate it should, even if the underlying
network provides an adequate throughput guarantee.
This document suggests a simple approach to solve this problem. A
minimal adaption of TFRC allows the application to quickly reach its
target rate whatever the RTT value of the application's flow, while
still sharing fairly the available bandwidth over the various TCP-
friendly connections.
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2. Guaranteed TCP Friendly Rate Control
In the context of the Additive Increase Multiplicative Decrease
approaches like TCP, the only way to obtain a service differentiation
with TCP protocol is to use DiffServ traffic conditioners. Indeed,
the AIMD principle do not use the instantaneous TCP throughput as an
input value for its congestion control and then can not make direct
use of the target rate value. On the contrary, to compute the actual
sending rate, TFRC uses the current rate in conjunction with the RTT
and the loss event of flow. Nevertheless, the TCP equation that
drives TFRC does not take into account the minimum guaranteed part of
the network capacity.
gTFRC is made aware of the target rate value which is integrated into
the transmit rate equation. Thanks to this knowledge, the
application's flow is sent in conformance with the negotiated QoS
while staying TCP-friendly in its out-profile part.
2.1. Transmit rate equation
The transmit rate is computed at sender side as the maximum between
the TFRC rate estimation and the target rate. The throughput
equation used in gTFRC is:
G = max(g, X)
Where:
G is the transmit rate in bytes/second.
g is the target rate in bytes/second.
X is the transmit rate in bytes/second computed by the TCP
throughput algorithm specified in RFC 3448 [2].
The rest of the gTFRC mechanism follows entirely the TFRC
specification given in RFC 3448 [2].
2.2. Target rate default value
The target rate g MUST have a default value of zero byte/second. In
this case, the default behavior of gTFRC corresponds to TFRC.
2.3. Target rate setting
gTFRC requires the knowledge of the target rate the DiffServ/AF
network service provides to the session. This knowledge MAY be
achieved by the use of a new socket option.
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3. Simulation of gTFRC
3.1. Model and hypothesis
gTFRC has been evaluated over a DiffServ network using ns-2.28
simulator. gTFRC has been implemented from the TFRC ns-2 code base.
The Nortel DiffServ model [3] has been used as QoS testbed.
The network architecture is shown in the following figure.
---- ----
|s1|-------- --------- |r1|
---- 10 Mb \ / 10 Mb ----
5 ms \ / x ms
\------ ------ ------/
|edge|-------|core|-------|edge|
/------ ------ ------\
/ 10 Mb 1 Mb \
---- / 5 ms 10ms \ ----
|s2|-------- --------- |r2|
---- 10 Mb 10 Mb ----
5 ms y ms
where x and y take different RTT values in function of the
experiment.
Figure 1
In these experiments, the objective was to compare the performance of
TFRC and gTFRC.
The simulation has been achieved with the two following scenarios:
1. the network is exactly-provisioned (it means there is no excess
bandwidth for the out-profile traffic).
2. network is over-provisioned (when there is excess bandwidth).
A network is under-provisioned when the amount of in-profile traffic
is higher than the resource allocated to the AF class. This case is
considered as a bad network provision and then is excluded from the
field of this study.
In the simulations:
o packet size is fixed to 1500 bytes;
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o we use a two colors token bucket marker with a bucket size of 10^4
bytes defined in RFC 2697 [4];
o the queues size are 50 packets and RIO parameters are:
(MIN_out,MAX_out,P_out, MIN_in,MAX_in,P_in) =
(10,20,0.1,20,40,0.02);
o the bottleneck between the core and the egress router is
1000Kbits/s;
o measurements are carried during 100 seconds.
For each experiments, we evaluate the throughput at the server side
and compute the instantaneous throughput and the average throughput
for the experiment. We resport the instantaneous throughput values
at 20s, 50s and 100s. Because some flow can cross one or several
DiffServ domains and then, obtain a very large RTT difference, we
compare flows with a high RTT difference (i.e., 600ms).
3.2. Results
The following table presents the comparative results between TFRC and
gTFRC for an exactly provisioned network.
+========+=======+========+=======+=======+=======+=======+
|Protocol| RTT | Target | After | After | After | |
| #flow | (ms) | (Kb/s) | 20s | 50s | 100s |Average|
+========+=======+========+=======+=======+=======+=======+
| TFRC#1 | 640ms | 800 | 376 | 584 | 784 | 571 |
| TFRC#2 | 40ms | 200 | 584 | 416 | 232 | 419 |
+--------+-------+--------+-------+-------+-------+-------+
|gTFRC#1 | 640ms | 800 | 376 | 784 | 800 | 722 |
|gTFRC#2 | 40ms | 200 | 584 | 224 | 200 | 271 |
+========+=======+========+=======+=======+=======+=======+
Figure 2
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The following table presents the comparative results between TFRC and
gTFRC for an over-provisioned network with either same or different
RTT values for the competing flows.
+========+=======+========+=======+=======+=======+=======+
|Protocol| RTT | Target | After | After | After | |
|Protocol| (ms) | (Kb/s) | 20s | 50s | 100s |Average|
+========+=======+========+=======+=======+=======+=======+
| TFRC#1 | 250ms | 700 | 296 | 744 | 744 | 654 |
| TFRC#2 | 250ms | 100 | 704 | 256 | 248 | 319 |
+--------+-------+--------+-------+-------+-------+-------+
|gTFRC#1 | 250ms | 700 | 744 | 800 | 696 | 727 |
|gTFRC#2 | 250ms | 100 | 256 | 200 | 304 | 254 |
+========+=======+========+=======+=======+=======+=======+
| TFRC#1 | 640ms | 600 | 376 | 520 | 608 | 504 |
| TFRC#2 | 40ms | 200 | 584 | 480 | 400 | 489 |
+--------+-------+--------|-------+-------+-------+-------+
|gTFRC#1 | 640ms | 600 | 376 | 600 | 600 | 554 |
|gTFRC#2 | 40ms | 200 | 584 | 408 | 400 | 439 |
+========+=======+========+=======+=======+=======+=======+
Figure 3
Extended results of this simulation campaign are available in [5]
3.3. Analysis
From these simulations, we see that gTFRC allows to reach a target
rate more quickly than TFRC. This is true whatever the RTT or the
target rate of the flow. The reason is obvious since at the first
rate decrease evaluation of the algorithm, gTFRC returns a rate equal
to the target rate. If the evaluated rate is higher than the target
rate, the classical TFRC algorithm is applied. Concerning the
DiffServ network behavior, the use of gTFRC raises the number of in-
profile packets in the network and avoid the problem of the bandwidth
sharing of the out-profile traffic. For information purpose,
concerning the Figure 2, between TFRC and gTFRC, the number of in-
profile traffic raises from 73.7% to 90.16%.
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4. Acknowledgements
This research work has been conducted in the framework of the EuQoS
European project (http://www.euqos.org). The authors were supported
by NICTA.
5. References
[1] Heinanen, J., Weiss, W., Wroclawski, J., and J. Heinanen,
"Assured Forwarding PHB Group", RFC 2597, STD 1, June 1999.
[2] Handley, M., Floyd, S., Padhye, J., and J. Widmer, "TCP Friendly
Rate Control (TFRC): Protocol Specification", RFC 3448, STD 1,
January 2003.
[3] Pieda, P., Ethridge, J., Baines, M., and F. Shallwani, "A
Network Simulator Differentiated Services Implementation", Open
IP , Nortel Networks, available at http://www.isi.edu/nsman/ns,
July 2000.
[4] Heinanen, J. and R. Guerin, "A Single Rate Three Color Marker",
RFC 2697, STD 1, September 1999.
[5] Lochin, E., Dairaine, L., and G. Jourjon, "gTFRC: a QoS-aware
congestion Control Algorithm", 5th International Conference on
Networking (ICN'2006) , October 2005.
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Authors' Addresses
Emmanuel Lochin
National ICT Australia
Australia Technology Park
Eveleigh, NSW 1430
Australia
Phone: +61 8374 5541
Email: Emmanuel.Lochin@nicta.com.au
URI: http://www.nicta.com.au/
Laurent Dairaine
ENSICA - LAAS/CNRS
1, place Emile Blouin
Toulouse, Cedex 5 31056
France
Phone: +33 5 61 61 85 00
Email: Laurent.Dairaine@ensica.fr
URI: http://www.ensica.fr/
Guillaume Jourjon
National ICT Australia
Australia Technology Park
Eveleigh, NSW 1430
Australia
Phone: +61 8374 5206
Email: Guillaume.Jourjon@nicta.com.au
URI: http://www.nicta.com.au/
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