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A Comparison of Stochastic Models for the Interarrival Times of Packets in a Computer Network

A Comparison of Stochastic Models for the Interarrival Times of Packets in a Computer Network

Dennis Guster, Semyon Litvinov, Mary Richardson, David Robinson
Copyright: © 2002 |Pages: 10
ISBN13: 9781931777094|ISBN10: 1931777098|EISBN13: 9781931777308
DOI: 10.4018/978-1-931777-09-4.ch023
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MLA

Guster, Dennis, et al. "A Comparison of Stochastic Models for the Interarrival Times of Packets in a Computer Network." Optimal Information Modeling Techniques, edited by Kees van Slooten, IGI Global, 2002, pp. 248-257. https://doi.org/10.4018/978-1-931777-09-4.ch023

APA

Guster, D., Litvinov, S., Richardson, M., & Robinson, D. (2002). A Comparison of Stochastic Models for the Interarrival Times of Packets in a Computer Network. In K. Slooten (Ed.), Optimal Information Modeling Techniques (pp. 248-257). IGI Global. https://doi.org/10.4018/978-1-931777-09-4.ch023

Chicago

Guster, Dennis, et al. "A Comparison of Stochastic Models for the Interarrival Times of Packets in a Computer Network." In Optimal Information Modeling Techniques, edited by Kees van Slooten, 248-257. Hershey, PA: IGI Global, 2002. https://doi.org/10.4018/978-1-931777-09-4.ch023

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Abstract

Because of the complexity and over-subscription of today’s networks, the importance of valid simulation techniques to aid in determining sound network design is paramount. A number of studies have shown that the theoretical exponential packet interarrival rates are not appropriate for many network installations. This chapter compares two other modeling techniques: the power law process and Markov chains to the exponential and actual data taken from a ten-minute segment. The results reveal that the exponential and power law models are a poor match to the actual data. The Markov chain model, although not perfect, yielded some promising results.

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