Title :
Adaptive algorithm for revenue maximization in WFQ scheduler
Author :
Kannisto, Lari ; Viinikainen, Ari ; Joutsensalo, Jyrki ; Hämäläinen, Timo
Author_Institution :
Dept. of Math. Inf. Technol., Jyvaskyla Univ., 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.
Keywords :
quality of service; queueing theory; scheduling; telecommunication traffic; transport protocols; QoS requirements; TCP traffic; WFQ scheduler; adaptive algorithm; network operator; ns-2 simulator; quality-of-service; revenue maximization; transport control protocol; weighted fair queueing; Adaptive algorithm; Analytical models; Computational modeling; Delay; Packet switching; Processor scheduling; Round robin; Scheduling algorithm; Telecommunication traffic; Traffic control;
Conference_Titel :
Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference on
Print_ISBN :
0-7695-2466-4
DOI :
10.1109/AINA.2006.72
