| Conference Paper |
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| Title |
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Buffer Estimate Filtering Using Dispersion Deltas
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| Abstract |
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In this paper, we present a sender-side-only filtering method
to improve the accuracy of buffer estimation. Buffer
estimates are of interest in many applications, e.g.
enhancing the performance and behavior of TCP, as well as
improving the user experience of UDP applications. A
conventional approach to estimate the buffer size of the
bottleneck link is to estimate the packet round trip time
(RTT) values that include the maximum and minimum
queuing delays. By calculating the difference of these two
values, one can then estimate the buffer size. However, such
approach is shown to be problematic in the presence of
lossy links, bursty cross traffic, and multiple bottleneck
links. This paper introduces a new technique called
Dispersion Delta Filtering (DDF) which takes not only the
RTT range but also packet dispersion into consideration.
The dispersion data is used to filter out RTT samples
affected by bursty cross traffic. By filtering these nonrepresentative
RTT samples, the proposed method is able to
estimate the buffer more accurately under bursty cross
traffic scenarios. We augment TCPW-BBE (TCP Westwood
with Buffer and Bandwidth Estimation) to evaluate the
accuracy of a buffer estimate with and without the proposed
filtering algorithm. Simulation results show that by
incorporating the proposed filtering technique, TCPW-BBE
obtains a more accurate buffer estimate regardless of the
rates of bursty cross traffic, the direction of bursty cross
traffic, as well as the number of coexisting flows. The
overall TCPW-BBE throughput is improved while greatly
increasing friendliness with TCP-NewReno.
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| Download |
Paper: PDF file of paper
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| Information & Date |
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In International Workshop on Protocols for Future, Large-Scale and Diverse Network Transports (PFLDNeT 2009), Tokyo, Japan, May. 2009
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| Authors |
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Brandon Pancost
Chine-Chia Chen
M. Y. Sanadidi
Mario Gerla
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