Title :
Design of Qos Anycast Network Cluster Balance Based on Genetic Algorithm
Author_Institution :
Sch. of Bus. Adm., Shandong Univ. of Finance, Ji´´nan, China
Abstract :
Qos anycast is a newly rising network communication service, playing an important role in the area of video stream on-demand. Although the DiffServ network QoS anycast routing architecture is very good, the interleaving services problems exist, which makes its service efficiency decline. A QoS anycast network cluster balancing algorithm based on genetic algorithm and scheduler is introduced in this paper. A real-time feedback information on scheduler and server is designed with the program of dynamically adjusting server weights on genetic algorithms program, to accomplish the anycast network cluster balancing choice based on real-time feedback for better utilization efficiency of the server and throughput of cluster system.
Keywords :
DiffServ networks; feedback; genetic algorithms; quality of service; telecommunication network routing; video on demand; video streaming; DiffServ network; QoS anycast network cluster balance; genetic algorithm; interleaving services problems; network communication service; real-time feedback; real-time feedback information; scheduler; utilization efficiency; video stream on-demand; Algorithm design and analysis; Clustering algorithms; Feedback; Genetic algorithms; Interleaved codes; Network servers; Real time systems; Routing; Streaming media; Video on demand; QOS; genetic algorithm; network cluster; video teaching;
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
DOI :
10.1109/ICSPS.2009.91