CapProbe: A simple and accurate capacity estimation technique

Rohit Kapoor, Ling Jyh Chen, Li Lao, Mario Gerla, M. Y. Sanadidi

研究成果: 雜誌貢獻Conference article

106 引文 斯高帕斯(Scopus)

摘要

We present a new capacity estimation technique, called CapProbe. CapProbe combines delay as well as dispersion measurements of packet pairs to filter out samples distorted by cross-traffic. CapProbe algorithms include convergence tests and convergence speed-up techniques by varying probing parameters. Our study of CapProbe includes a probability analysis to determine the time it takes CapProbe to converge on the average. Through simulations and measurements, we found CapProbe to be quick and accurate across a wide range of traffic scenarios. We also compared CapProbe with two previous well-known techniques, pathchar and pathrate. We found CapProbe to be much more accurate than pathchar and similar in accuracy to pathrate, while providing faster estimation than both. Another advantage of CapProbe is its lower computation cost, since no statistical post processing of probing data is required.

原文英語
頁(從 - 到)67-78
頁數12
期刊Computer Communication Review
34
發行號4
DOIs
出版狀態已發佈 - 2004
事件ACM SIGCOMM 2004: Conference on Computer Communications - Portland, OR, 美国
持續時間: 2004 八月 302004 九月 3

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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