Adaptive Algorithm for Revenue Maximization in WFQ Scheduler

Lari Kannisto,Ari Viinikainen,Jyrki Joutsensalo,Timo Hamalainen

Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference（2006）

University of Jyvaskyla

Cited 3|Views9

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.

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Key words

tcp traffic,revenue maximization,different service class,adaptive algorithm,service class,appropriate service,maximum revenue,network operator,wfq scheduler,ns-2 simulator environment,qos requirement,transport protocols,quality of service,packet switching,scheduling,computational modeling,satisfiability,scheduling algorithm,weighted fair queueing,queueing theory

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