NDLI: Loss behavior of an Internet router with self-similar input traffic via Fractal point process

Content Provider	IEEE Xplore Digital Library
Author	Dasari, R. Perati, M.R.
Copyright Year	2013
Description	Author affiliation: Dept. of Math., Kakatiya Univ., Warangal, India (Dasari, R.; Perati, M.R.)
Abstract	It has been reported that modeling a self-similar network traffic is of key importance for the traffic engineering. Self-similarity or long range dependence causes degradation of Internet router performance. Therefore, it is decisive for an appropriate buffer design of a router. In this paper, we investigate loss behaviour of network router with pseudo self-similar traffic input. We use Fractal point process (FPP) as input process as it generates self-similar traffic. For queueing analysis, input process is Markov modulated Poission process (MMPP), which is fitted for FPP by equating the second-order statistics of counting function. The reason is, FPP is not suitable for queueing based performance evaluation. FPP involves another parameter fractal onset time (FOT) besides Hurst parameter. Effect of FOT on loss behavior is examined.
Starting Page	1
Ending Page	6
File Size	640323
Page Count	6
File Format	PDF
e-ISBN	9781479920846
DOI	10.1109/ICON.2013.6781958
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-11
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fractals Switches Telecommunication traffic Markov processes Reactive power Internet Packet loss traffic intensity Network router self-similar fractal point process Markov modulated Poisson Process packet loss probability
Content Type	Text
Resource Type	Article

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