Data grid is a very important and useful technique to process the large number of data
produced by scientific experiments and simulations. However, the high latency of the …

The data availability in a data grid system is complicated by node failure, data catalog error
and an unreliable network. To improve the job response time and data availability, data is …

Data Grid is one of key technologies to build up large-scale dataset storage system by
connecting scattered storage resources dispersedly located in the Grid. One major …

The emergence of scientific applications that produce huge volume of data files requires
special attention, and leads to the problem of how to manage and share such data files in …

Data grid, which provides the capability to store the mass data, has become one of the
hottest topics in distributed storage research domains. However, the limited capacity of local …

Data grid systems are evolving as prominent platforms of choice for many scientific
disciplines. Many of the experiments and applications of such disciplines require use of …

More and more large amounts of data shared with researchers and workstations worldwide
are generated by scientific experiments and engineering applications. High performance …

Data Grid integrates geographically distributed resources for solving data sensitive scientific
applications. Dynamic data replication algorithms are becoming increasingly valuable in …

Data grid is one of the most popular grid computing implementations concerning data
management system and data replication technologies. The aim of data replication is to …

Grid computing is a type of parallel and distributed systems, that is designed to provide
pervasive and reliable access to data and computational resources over wide are network …