This paper discusses Data Grid as one of popular application of grid and cloud computing. In Data Grid, data are replicated among different nodes of the grid to increase the availability and efficiency. There are two mainissues regarding this replication process; how to do the replication (i.e. where and when to do replication) and how to synchronise all the replicas under heterogeneous database systems in grids to be always consistent. Thispaper explains those two major issues as well as some proposed methods and solutions in order to explore the next problems and challenges on this area. By identifying them, it can be useful to make some improvements inorder to give the best performance on the replication process, and hence can offer a be...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Replication is an important activity in determining the availability of resources in data grid.Never...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
Grid is a distributed system that enables dynamic aggregation of geographically dislocated computing...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
A Data Grid is an organized collection of nodes in a wide area network which contributes to various ...
Data replication is a well-known technique used in distributed systems in order to improve fault tol...
Data grid has been developed to provide a scalable infrastructure for managing and storing data file...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
AbstractA data grid is a structural design or cluster of services that provides persons or assortmen...
Replicating for performance constitutes an important issue in large-scale data management systems. I...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data grid system is a data management infrastructure that facilitates reliable access and sharing of...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Replication is an important activity in determining the availability of resources in data grid.Never...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
Grid is a distributed system that enables dynamic aggregation of geographically dislocated computing...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
A Data Grid is an organized collection of nodes in a wide area network which contributes to various ...
Data replication is a well-known technique used in distributed systems in order to improve fault tol...
Data grid has been developed to provide a scalable infrastructure for managing and storing data file...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
AbstractA data grid is a structural design or cluster of services that provides persons or assortmen...
Replicating for performance constitutes an important issue in large-scale data management systems. I...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data grid system is a data management infrastructure that facilitates reliable access and sharing of...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
In data grid systems, data replication aims to increase availability, fault tolerance, load balancin...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...