A Replica Selection Approach based on Prediction in Data Grid

摘要：

Data replication is adopted to improve data access performance in Data grid. When different sites hold replicas, there are significant benefits while selecting the best replica. In this paper, we propose a new replica selection algorithm based on prediction. Analyzing the factors infecting replica selection, The grey system theory is utilized to help predicting the data response time on the basis the GM(1,1) grey dynamic model; Meanwhile the Markov chain is applied to achieve state transition probability matrix to predict the reliability of replicas in the form of probability by the system state classification. The simulation results show that in our replica selection model, the prediction is valid, helpful to selection decision, and is able to achieve load balance between nodes holding replicas.

作者: Jing Li

作者单位: College of Computer, Chongqing University, Chongqing 400030, China;Department of Computer and Modern Education Technology, Chongqing Education College, Chongqing 400067,China

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）