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Please use this identifier to cite or link to this item: http://hdl.handle.net/10061/3128

Title: Practical Time-scale Fitting of Self-similar Traffic with Markov-modulated Poisson Process
Authors: Yoshihara, Tadafumi
Kasahara, Shoji
Takahashi, Yutaka
ヨシハラ, タダフミ
カサハラ, ショウジ
タカハシ, ユタカ
吉原, 忠史
笠原, 正治
高橋, 豊
Issue Date: Apr-1998
Publisher: Nara Institute of Science and Technology
Series/Report no.: Information Science Technical Report ~ TR98005
Abstract: Recent measurements of packet/cell streams in multimedia communication networks have revealed that they have the self-similar property and are of different character istics from traditional traffic streams. Therefore, a number of studies of modeling the self-similar traffic have been performed. In this paper, we first give some definitions of self-similarity. Then, we propose a fitting method for the self-similar traffic in terms of Markov-modulated Poisson process (MMPP). We construct an MMPPas the superposition of two-state MMPPs and fit it so as to match the variance function over several time-scales. Numerical examples show that the variance function of the self-similar process can be well represented by that of four-state MMPP. We also examine the queueing behavior of the resulting MMPP/D/1 queueing systems. We compare the results with the simulation for the queueing systems with the self-similar process as an input.
URI: http://hdl.handle.net/10061/3128
URI: http://library.naist.jp/mylimedio/dllimedio/show.cgi?bookid=100010018&oldid=19778
Fulltext: http://library.naist.jp/mylimedio/dllimedio/show.cgi?bookid=100010018&oldid=19778
ISSN: 0919-9527
Text Version: author
Appears in Collections:テクニカルレポート / Technical Report

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