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Abstract
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 main
issues 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. This
paper 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 in
order to give the best performance on the replication process, and hence can offer a better experience of Data Grid implementation to the users.
issues 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. This
paper 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 in
order to give the best performance on the replication process, and hence can offer a better experience of Data Grid implementation to the users.