Title :
The Revenues Driven Resource Allocation Algorithm for Cluster-based Web Server*
Author :
Zhang, Yongzhong ; Zhao, Yinliang
Author_Institution :
Dept. of Comput. Sci. & Technol., Xi´´an Jiaotong Univ.
Abstract :
In order to optimize the revenues attained in the cluster based Web server by dynamically allocating the pool´s size of each service class under QoS constraints, the R-PSA (revenue driven pools´ sizes allocation) scheme is provided. In this scheme, the pool´s sizes allocation of different service classes is linked with the revenues in cluster based Web server under QoS requirement constraints, and the revenues target function is formulized according to queue theory, and the problem of maximizing revenues of system is solved by dynamic programming algorithm combining heuristic schemes. The simulated experimentations show the efficiency of R-PSA under different workload
Keywords :
Internet; dynamic programming; file servers; quality of service; queueing theory; resource allocation; workstation clusters; QoS constraints; cluster-based Web server; dynamic programming algorithm; queue theory; revenue driven pools size allocation; revenues driven resource allocation algorithm; Clustering algorithms; Computer science; Constraint optimization; Constraint theory; Dynamic programming; Heuristic algorithms; Queueing analysis; Resource management; Switches; Web server; QoS; cluster based web server; pool´s sizes allocation; revenue; service class;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714465
