Title :
A Load Management System for Cluster Web Servers Based on Request Content
Author :
Tian Chunqing ; Guo Qingshun ; Tang Guohua
Author_Institution :
Network & Inf. Technol. Center, Sun-Yat Sen Univ., Guangzhou, China
Abstract :
With the rapid development of Internet, the scale of WEB service is expanding. WEB cluster technology is required to support the large-scale WEB applications. WEB load management is a critical technology of WEB clusters. In this paper, a load management mechanism is presented and a system based on it is implemented. To implement the system, share memory technology and synchronization hash technology are used to achieve the high-speed load distributor, and the click-stream mining technology is applied to record and analyze the requests from users. The system administrator can use the WEB-based console for load management..
Keywords :
Web services; data mining; resource allocation; Internet; Web application; Web cluster technology; Web load management system; Web service; Web-based console; click-stream mining technology; cluster Web servers; high-speed load distributor; memory technology; request content; synchronization hash technology; system administrator; Dispatching; Information technology; Load management; Quality of service; Round robin; Scheduling algorithm; Service oriented architecture; Switches; Web server; Web services;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5365586
