Adaptive Algorithm for Revenue Maximization in WFQ Scheduler

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20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06)

Vienna, Austria

April 18-April 20

ISBN: 0-7695-2466-4

	ASCII Text	x
	Lari Kannisto, Ari Viinikainen, Jyrki Joutsensalo, Timo Hamalainen, "Adaptive Algorithm for Revenue Maximization in WFQ Scheduler," Advanced Information Networking and Applications, International Conference on, vol. 1, pp. 339-346, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06), 2006.

	BibTex	x
	@article{ 10.1109/AINA.2006.72, author = {Lari Kannisto and Ari Viinikainen and Jyrki Joutsensalo and Timo Hamalainen}, title = {Adaptive Algorithm for Revenue Maximization in WFQ Scheduler}, journal ={Advanced Information Networking and Applications, International Conference on}, volume = {1}, year = {2006}, issn = {1550-445X}, pages = {339-346}, doi = {http://doi.ieeecomputersociety.org/10.1109/AINA.2006.72}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Information Networking and Applications, International Conference on TI - Adaptive Algorithm for Revenue Maximization in WFQ Scheduler SN - 1550-445X SP339 EP346 A1 - Lari Kannisto, A1 - Ari Viinikainen, A1 - Jyrki Joutsensalo, A1 - Timo Hamalainen, PY - 2006 KW - null VL - 1 JA - Advanced Information Networking and Applications, International Conference on ER -

Lari Kannisto, University of Jyvaskyla, Finland

Ari Viinikainen, University of Jyvaskyla, Finland

Jyrki Joutsensalo, University of Jyvaskyla, Finland

Timo Hamalainen, University of Jyvaskyla, Finland

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2006.72

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.

Citation:

Lari Kannisto, Ari Viinikainen, Jyrki Joutsensalo, Timo Hamalainen, "Adaptive Algorithm for Revenue Maximization in WFQ Scheduler," aina, vol. 1, pp.339-346, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06), 2006

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