Improving grid service's QoS through self-configuring regulation

Authors:
Xiaoli Zhi;Lu Rong;Weiqin Tong
Affiliations:
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China;Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China;School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China
Venue:
Engineering Applications of Artificial Intelligence
Year:
2004

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Abstract

A new regulation based approach is proposed to improve grid resource services' quality of service (QoS). The main idea of regulation and some typical regulation algorithms are described. To automatically adapt a regulation system to the changing runtime environment, a self-configuring mechanism based on the computation of fitness is introduced. The goal of self-configuring regulation is to provide a virtual grid resource service with improved QoS to best satisfy users' requirements on the basis of resource services with lower QoS.