Presentation 2010-07-09
Fluid-based Analysis of TCP Flows in a Scale-Free Network
Yusuke SAKUMOTO, Hiroyuki OHSAKI, Makoto IMASE,
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Abstract(in English) In this paper, we derive distributions of throughput, round-trip time, and packet loss probability of TCP flows in a scale-free network (BA (Barabasi Albert) tree). Different from random networks, the connecting probability between nodes is dependent on their node degrees in scale-free networks. Hence, scale-free networks are generally difficult to analyze. Fekete et al. have derived the average throughput of TCP flows in a scale-free network by limiting the network topology to a class of scale-free networks (i.e., BA tree). Not only the average throughput of TCP flows but also distributions of their performance metrics are important for design and control of an information network. In this paper, we therefore derive distributions of throughput, round-trip time, and packet loss probability of TCP flows in a scale-free network using an approximate analysis. Similarly to Fekete's analysis, we use the BA tree as the network topology. Dynamics of TCP flows and routers are modeled with fluid-flow approximation.
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Keyword(in English) Scale-Free Network / TCP (Transmission Control Protocol) / End-to-End Performance / BA (Barabasi Albert) Tree / Fluid-Flow Model
Paper # IN2010-36
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Committee IN
Conference Date 2010/7/1(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fluid-based Analysis of TCP Flows in a Scale-Free Network
Sub Title (in English)
Keyword(1) Scale-Free Network
Keyword(2) TCP (Transmission Control Protocol)
Keyword(3) End-to-End Performance
Keyword(4) BA (Barabasi Albert) Tree
Keyword(5) Fluid-Flow Model
1st Author's Name Yusuke SAKUMOTO
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Hiroyuki OHSAKI
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Makoto IMASE
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2010-07-09
Paper # IN2010-36
Volume (vol) vol.110
Number (no) 116
Page pp.pp.-
#Pages 6
Date of Issue