Presentation 2003/1/30
Performance Approximation of Long-Range Dependent Traffic Using Relevant Time Scales
Yusheng JI, Takayuki FUJINO, Shunji ABE, Weiping ZHAO, Jun MATSUKATA, Shoichiro ASANO,
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Abstract(in English) It is well known that long-range dependence or so-called self-similarity is widely observed in internet traffic. In this study, we discuss on the influence of long-range dependence in queueing performance by using our observed traffic data from the Science Information Network (SINET). Although Fractional Brownian Motion (FBM) model was proposed in the literature to deal with such fractal traffic characteristics, it is only efficient for approximating the performance of strict second order self-similar traffic. Here we propose a method for approximation of the performance of traffic with general long-range dependence by applying the notation of relevant time scales. Simulation results from real traffic data are used for the verification of our method.
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Keyword(in English) Long-Range Dependence / Self-Similarity / Relevant Time Scale / FBM / Internet Traffic
Paper # IN2002-185,IA2002-41
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Committee IA
Conference Date 2003/1/30(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Approximation of Long-Range Dependent Traffic Using Relevant Time Scales
Sub Title (in English)
Keyword(1) Long-Range Dependence
Keyword(2) Self-Similarity
Keyword(3) Relevant Time Scale
Keyword(4) FBM
Keyword(5) Internet Traffic
1st Author's Name Yusheng JI
1st Author's Affiliation National Institute of Informatics()
2nd Author's Name Takayuki FUJINO
2nd Author's Affiliation National Institute of Informatics
3rd Author's Name Shunji ABE
3rd Author's Affiliation National Institute of Informatics
4th Author's Name Weiping ZHAO
4th Author's Affiliation National Institute of Informatics
5th Author's Name Jun MATSUKATA
5th Author's Affiliation National Institute of Informatics
6th Author's Name Shoichiro ASANO
6th Author's Affiliation National Institute of Informatics
Date 2003/1/30
Paper # IN2002-185,IA2002-41
Volume (vol) vol.102
Number (no) 635
Page pp.pp.-
#Pages 6
Date of Issue