DocumentCode :
2232602
Title :
An Application of Immune Genetic Algorithm for Load Balancing in VOD Cluster
Author :
Jiang, Xinhua ; Zhang, Lina ; Xue, Heru
Author_Institution :
Coll. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., Hohhot, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
109
Lastpage :
112
Abstract :
This paper proposes a method to solve the question of load balancing in cluster. This method is based on immune mechanism is proposed to solve load balancing in cluster. The algorithm can implement diversity of solution effectively, by immune memory library and acceleration and restraint of antibodies thickness. The testing results, compared with weighted round robin algorithm and weighted least connections algorithm, indicate that this algorithm reduces processor average time to complete the task, and increase the number of throughput and connectivity, and improve the handling capacity of the VOD server at no additional server or improving server configuration.
Keywords :
artificial immune systems; genetic algorithms; resource allocation; telecommunication computing; video on demand; video servers; workstation clusters; VOD cluster server; immune genetic algorithm; immune memory library; load balancing; processor average time reduction; weighted least connection algorithm; weighted round robin algorithm; Agricultural engineering; Clustering algorithms; Educational institutions; Genetic algorithms; Genetic engineering; Load management; Network servers; Round robin; Throughput; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.236
Filename :
5455529
Link To Document :
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