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