Data Grids provide environment for huge, data-intensive applications that produce and
process enormous data. Such environments are thus asked to manage data and schedule …

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 …

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 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 integrates graphically distributed resources for solving data intensive scientific
applications. Effective scheduling in Grid can reduce the amount of data transferred among …

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 …

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 …

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 …

In data grid, large quantity of data files is produced and data replication is applied to reduce
data access time. Efficiently utilizing grid resources becomes important research issue since …

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 …