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Proceedings Paper

Network traffic model using GIPP and GIBP
Author(s): Yong Duk Lee; Appie Van de Liefvoort; Victor L. Wallace
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Paper Abstract

In telecommunication networks, the correlated nature of teletraffic patterns can have significant impact on queuing measures such as queue length, blocking and delay. There is, however, not yet a good general analytical description which can easily incorporate the correlation effect of the traffic, while at the same time maintaining the ease of modeling. The authors have shown elsewhere, that the covariance structures of the generalized Interrupted Poisson Process (GIPP) and the generalized Interrupted Bernoulli Process (GIBP) have an invariance property which makes them reasonably general, yet algebraically manageable, models for representing correlated network traffic. The GIPP and GIBP have a surprisingly rich sets of parameters, yet these invariance properties enable us to easily incorporate the covariance function as well as the interarrival time distribution into the model to better matchobservations. In this paper, we show an application of GIPP and GIBP for matching an analytical model to observed or experimental data.

Paper Details

Date Published: 7 October 1998
PDF: 10 pages
Proc. SPIE 3530, Performance and Control of Network Systems II, (7 October 1998); doi: 10.1117/12.325874
Show Author Affiliations
Yong Duk Lee, Univ. of Kansas (United States)
Appie Van de Liefvoort, Univ. of Missouri/Kansas City (United States)
Victor L. Wallace, Univ. of Kansas (United States)

Published in SPIE Proceedings Vol. 3530:
Performance and Control of Network Systems II
Wai Sum Lai; Robert B. Cooper, Editor(s)

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