Adaptive algorithm for revenue maximization in WFQ scheduler
Lari Kannisto, Ari Viinikainen, J. Joutsensalo, Timo Hämäläinen · 2006
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.