In data grids scientific and business applications produce huge volume of data which needs
to be transferred among the distributed and heterogeneous nodes of data grids. Data …

Nowadays, scientific applications generate a huge amount of data in terabytes or petabytes.
Data grids currently proposed solutions to large scale data management problems including …

Data Grid is a geographically distributed environment that deals with large-scale data-
intensive applications. Effective scheduling in Grid can reduce the amount of data …

Data Grid provides scalable infrastructure for storage resource and data files management,
which supports several large scale applications. Due to limitation of available resources in …

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 provide distributed resources for dealing with large scale applications that
generate huge volume of data sets. Data replication, a technique much discussed by data …

Data Grid is a good solution to large scale data management problems including efficient file
transfer and replication. Dynamic data replication in Data Grid aims to improve data access …

Today, scientific and business applications generate huge amounts of data. Users of data
grid, who are distributed all over the grid geographically, need such data. So ensuring the …

Data Grid is a geographically distributed environment that deals with large-scale data-
intensive applications. Effective scheduling in Grid can reduce the amount of data …

The Data Grid provides massive aggregated computing resources and distributed storage
space to deal with data-intensive applications. Due to the limitation of available resources in …