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Proceedings Paper

Hybrid discrete-continuous fluid-flow simulation
Author(s): Benjamin Melamed; Shuo Pan; Yorai Wardi
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Paper Abstract

The fluid-flow paradigm is an alternative approach to the traditional queueing paradigm, where workload movement in a network is described in terms of a fluid metaphor rather than the familiar customer metaphor. Stochastic fluid network models can considerably speed up the simulation of complex flow networks, such as high-speed packet-based telecommunications networks, where traditional queueing-based simulation routinely gives rise to enormous numbers of events. Furthermore, they are also amenable to fast, nonparametric, and unbiased estimation (unlike traditional queueing) of IPA (Infinitesimal Perturbation Analysis) gradients (derivatives of performance measures with respect to various parameters), which may be used to make decisions on network design, replenishment, management or control. This paper outlines the design of a fluid-oriented hybrid simulator admitting both packet flows and fluid flows. It focuses on the fluid processing design and on efficiency issues.

Paper Details

Date Published: 25 July 2001
PDF: 8 pages
Proc. SPIE 4526, Scalability and Traffic Control in IP Networks, (25 July 2001); doi: 10.1117/12.434402
Show Author Affiliations
Benjamin Melamed, Rutgers Univ. (United States)
Shuo Pan, Rutgers Univ. (United States)
Yorai Wardi, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 4526:
Scalability and Traffic Control in IP Networks
Sonia Fahmy; Kihong Park, Editor(s)

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