Simulating the performance of a class-based weighted fair queueing system

Authors:
Martin J. Fischer;Denise M. Bevilacqua Masi;John F. Shortle
Affiliations:
South Noblis, Inc., Falls Church, VA;South Noblis, Inc., Falls Church, VA;George Mason University, Fairfax, VA
Venue:
Proceedings of the 40th Conference on Winter Simulation
Year:
2008

Citing 9
Cited 1

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Fundamentals of queueing theory (2nd ed.).
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Modeling the performance of low latency queueing for emergency telecommunications

Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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IEEE Network: The Magazine of Global Internetworking

Approximation for a two-class weighted fair queueing discipline

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Abstract

Class Based Weighted Fair Queueing (CBWFQ) is a very important router discipline that allows different types of Internet Protocol (IP) traffic like voice, video, and best effort data to receive the required quality of service measures they individually need. CBWFQ dynamically allocates the available bandwidth to each traffic class based on the class's weight. This discipline is playing a vital role as IP brings these traffic classes together in a truly converged network. Under stress and in extreme emergencies, it is critical to be able to determine how the CBWFQ discipline will perform. In this paper, we present and discuss the critical role simulation has played in our development of performance analysis tools for the CBWFQ discipline.