Presentation 2001/10/12
Performance Prediction Method for Longest Prefix Matching Algorithms based on Flow Analysis
Ryo Kawabe, Shingo Ata, Masayuki Murata,
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Abstract(in English) Many address lookup methods on IP routers to improve a packet forwarding capability have been recently proposed, but their performance prediction is very limited because of lack of considering actual traffic characteristics in their evaluations. It is necessary to consider actual traffic to predict more realistic performances on routers, specially in case of layers 3 and 4 switches whose performances are more influenced by flow characteristic. In this paper, we propose new methods for predicting the router's performance based on the statistical analysis of the Internet traffic. We also present an example of its application to the existing table lookup algorithm, and show that simulation results based on our method can provide accurate performance prediction.
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Keyword(in English) longest prefix matching / router / address lookup / traffic analysis / IP address
Paper # IN2001-97
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Committee IN
Conference Date 2001/10/12(1days)
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Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Prediction Method for Longest Prefix Matching Algorithms based on Flow Analysis
Sub Title (in English)
Keyword(1) longest prefix matching
Keyword(2) router
Keyword(3) address lookup
Keyword(4) traffic analysis
Keyword(5) IP address
1st Author's Name Ryo Kawabe
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Shingo Ata
2nd Author's Affiliation Faculty of Engineering, Osaka City University
3rd Author's Name Masayuki Murata
3rd Author's Affiliation Graduate School of Engineering Science, Osaka University
Date 2001/10/12
Paper # IN2001-97
Volume (vol) vol.101
Number (no) 374
Page pp.pp.-
#Pages 8
Date of Issue