NDLI: A Highly Efficient M/G/α Generator of Self-Similar Traces

Content Provider	IEEE Xplore Digital Library
Author	Sousa-Vieira, M.E. Suarez-Gonzalez, A. Fernandez-Veiga, M. Lopez-Garcia, C. Rodriguez-Rubio, R.F.
Copyright Year	2006
Description	Author affiliation: E.T.S.E. Telecomunicacion, Vigo Univ. (Sousa-Vieira, M.E.; Suarez-Gonzalez, A.; Fernandez-Veiga, M.; Lopez-Garcia, C.; Rodriguez-Rubio, R.F.)
Abstract	Several traffic measurements reports have convincingly shown the presence of self-similarity in current networks, inducing a revolution in the stochastic modeling of traffic. The essence of this behavior can be captured by several classes of self-similar processes. But the use of these processes in performance analysis has opened new problems and research issues in simulation studies, where the efficient generation of synthetic sample paths with self-similar properties is one of the main topics. In this paper, we present an M/G/α generator of self-similar traces, based on a highly efficient simulation model using the decomposition property of Poisson processes and the memoryless property of geometric random variables.
Starting Page	2146
Ending Page	2153
File Size	602536
Page Count	8
File Format	PDF
ISBN	1424405009
DOI	10.1109/WSC.2006.323015
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Telecommunication traffic Solid modeling Random variables Stochastic processes Analytical models Current measurement Performance analysis Length measurement Sampling methods
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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