PERFORMANCE EVOLUTION OF DYNAMIC DATA MANAGEMENT IN GRID COMPUTING

Abstract

Data Management is one of the important features of the data grid, where the large amounts of data are distributed geographically all over the world. In general, data is a specialization of grid that is focused on processing large datasets. Huge amounts of data and the worldwide distribution of data stores contribute to the complexity of the data management challenge. Effective data management is an important issue in today’s enterprise environment. Data replication technique are much discussed by the data grid researches in order to create the multiple copies of data and places them in various  location to minimize the file access time. This paper describes the Replication strategy called Replication Strategy based on Clustering Analysis (RSCA)is proposed. This work collect files based on the recent access habits of the users.So Data Mining (DM) is introduced to find out the correlations.

Keywords: Data grid, Data Replication, Data Mining, file correlation