Modern scientific experiments can generate large amounts of data, which may be replicated and distributed across multiple resources to improve application performance and fault to...
Execution of MPI applications on Clusters and Grid deployments suffers from node and network failure that motivates the use of fault tolerant MPI implementations. Two category tec...
With the advent of Grid computing, more and more highend computational resources become available for use to a scientist. While this opens up new avenues for scientific research,...
A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
The trend of data intensive grid applications has brought grid storage protocols and servers into focus. The objective of this study is to gain an understanding of how time is spen...