Data Replication is copying the data from a certain location to another location. Replication
is used in Data Grid to have two or more copies of the same data at different locations. In this …

Storage is undoubtedly one of the main resources in data grids, and planning the capacity of
storage nodes is an important step in any data-grid design. This paper focuses on storage …

Existing data grid scheduling systems handle huge data I/O via replica location services
coupled with simple staging, decoupled from scheduling of computing tasks. However, when …

Data grid provides scalable infrastructure for storage resource and data files management,
which supports several scientific applications. Replication is a technique used in data grid to …

Replication technique can improve access performance and data availability of data grid
systems. So far, most related work on data replication in data grid systems focuses on read …

Data replication has been well adopted in data intensive scientific applications to reduce
data file transfer time and bandwidth consumption. However, the problem of data replication …

Data replication is the creation and maintenance of multiple copies of the same data.
Replication is used in Data Grid to enhance data availability and fault tolerance. In this …

This paper proposes a novel approach, EA2-IMDG (Efficient Approach of Using an In-
Memory Data Grid) to improve the performance of replication and scheduling in grid …

Abstract Replication in Data Grid reduces access latency and bandwidth consumption by
creating multiple data copies. One of the challenges in data replication is to select the …

Data replication in data grid increases the availability of data and reduces the total execution
time of the grid job. Replica replacement algorithm plays a vital role when storage space is …