Improvement of Job Scheduling and Tow Level Data Replication Strategies in Data Grid

Abstract

With the development of grid computing, Data Grid, as an important branch of Grid Computing focuses on supporting an efficient management mechanism for controlled sharing and large amounts of distributed data. Data intensive jobs are one major kind of jobs in Data Grid, and their scheduling strategies are regarded as one of the most important research fields. Dynamic replication in data grid aims to reduce data access time and to utilize network and storage resources efficiently. This paper proposes a novel dynamic replication strategy, called ERS(Enhancement of Replication Strategy), which reduces data access time by avoiding network congestions in a data grid network and we develop a job scheduling policy, called ESS (Enhancement of Scheduling strategy).