A Load Balancing Schedule Strategy of Web Server Cluster

Author

Wang, Wei ; Zhang, Hong-Yan

Author_Institution

Dept. of Comput., Henan Inst. of Eng., Zhengzhou

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

5

Abstract

The paper raises a load schedule strategy of web server cluster, which comprehensively applies the multistage fuzzy system and the technique of artificial neural network to carry on fuzzy prediction for the user request of response delay, as considering prefix caching and patch prefetching technology of the Web node server, raises the load schedule algorithm based on the threshold value of response delay and request at the node server, and takes the simulated test to it.

Keywords

Internet; cache storage; fuzzy set theory; neural nets; resource allocation; storage management; workstation clusters; Web node server; Web server cluster; artificial neural network; fuzzy prediction; load balancing schedule; load schedule; multistage fuzzy system; patch prefetching; prefix caching; response delay; threshold value; Artificial neural networks; Clustering algorithms; Fuzzy neural networks; Fuzzy systems; Load management; Network servers; Paper technology; Prefetching; Scheduling algorithm; Web server;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Business and Information System Security, 2009. EBISS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-2909-7

Electronic_ISBN

978-1-4244-2910-3

Type

conf

DOI

10.1109/EBISS.2009.5137875

Filename

5137875