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Vienna
April 18, 2006 to April 20, 2006
ISBN: 0-7695-2466-4
pp: 339-346
Lari Kannisto , University of Jyvaskyla, Finland
Ari Viinikainen , University of Jyvaskyla, Finland
Jyrki Joutsensalo , University of Jyvaskyla, Finland
Timo Hamalainen , University of Jyvaskyla, Finland
ABSTRACT
This paper presents adaptive algorithm for updating the weights of a WFQ scheduler. The algorithm provides maximum revenue for the network operator, while the QoS requirements for the connections in different service classes are satisfied. The operation of the algorithm is verified in ns-2 simulator environment. The simulations show that the algorithm works well with TCP traffic and provides appropriate service for all service classes.
INDEX TERMS
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CITATION
Lari Kannisto, Ari Viinikainen, Jyrki Joutsensalo, Timo Hamalainen, "Adaptive Algorithm for Revenue Maximization in WFQ Scheduler", AINA, 2006, Proceedings. 20th International Conference on Advanced Information Networking and Applications, Proceedings. 20th International Conference on Advanced Information Networking and Applications 2006, pp. 339-346, doi:10.1109/AINA.2006.72
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