CapProbe: A simple and accurate capacity estimation technique

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

研究成果: 雜誌貢獻會議論文同行評審

116 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)67-78
期刊Computer Communication Review
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 8月 302004 9月 3

ASJC Scopus subject areas

  • 軟體
  • 電腦網路與通信


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