¡¡Chinese Journal of Computers   Full Text
  TitleResearch on Manageability of Grid Service Model Method and Management Strategies
  AuthorsWANG Yuan-Zhuo1),2) LIN Chuang1) YANG Yang2) SHAN Zhi-Guang3)
  Address1)(Department of Computer Science and Technology, Tsinghua University, Beijing 100084)
2)(Information Engineering School, University of Science and Technology Beijing, Beijing 100083)
3)(Department of Information Research, State Information Center, Beijing 100045)
  Year2008
  IssueNo.10(1716¡ª1726)
  Abstract &
  Background
Abstract With the development of Grid technology and Grid application, higher requirements are imposed on the efficiency and quality of the grid system. And the service management is a necessary method to improve quality of service (QoS). In this paper, the definition and formalized description of Grid service churn and manageability are proposed. And a stochastic Petri net (SPN) model is upbuilt to describe the process of Grid service with churns. On the other hand, service management strategies are classified and researched. According to the computing results of SPN model, the influences of these strategies to churn and the quantifying results of manageability are analyzed. This paper can provide the reference to actual application.
Keywords grid service; manageability; churn; service management; stochastic Petri net(SPN)
Background This work is supported in part by a grant from the National Grand Fundamental Research 973 Program of China(No.12003CB314804), and the National Natural Science Foundation of China (Nos.90718040,60673187,60673054,60673160,60803123).
Grid is attractive and promising platforms for solving large-scale computing intensive problems, which realize a coordinated resource sharing and a problem solving in dynamic, multinstitutional virtual organizations. Various geographically distributed resources are logically coupled together and presented as an integrated one. The heterogeneity and dynamism are traits of Grid. So the resource organizing and management become very complicated in a Grid environment. These make many churns to Grid service. And the quality of service (QoS) can not be always realized. A pervasive requirement of Grid systems is to improve the manageability and deal with churn. A high churn rate can increase costs or decrease service quality. And the formalized description and quantifying methods of Grid service churn and manageability are the preconditions.