Data replication strategy is widely adopted for large scale data-intensive applications in
distributed network such as data grid. Replication approach can shorten the time of fetching …

Data Grids deal with geographically-distributed large-scale data-intensive applications.
Schemes scheduled for data grids attempt to not only improve data access time, but also aim …

In data grids huge amount of data are generated and processed by users around the world.
Objective of dynamic replica strategies is reducing file access time by reducing network …

Data Grid allows many organizations to share data across large geographical area. The
idea behind data replication is to store copies of the same file at different locations …

Data Grid consists of geographically distributed computing and storage resources that are
used in large scale scientific applications. Job scheduling and data replication are two well …

Abstract In the Data Grid environment, the primary goal of data replication is to shorten the
data access time that is experienced by the job and reduce the job turnaround time as a …

Data Grid environment is a geographically distributed that deal with date-intensive
application in scientific and enterprise computing. Dealing with large amount of data makes …

In recent years, grid technology has had such a fast growth that it has been used in many
scientific experiments and research centers. A large number of storage elements and …