Grid data management is a challenging task because of the heterogeneous, dynamic and largescale nature of Grid environments. This paper proposes an autonomic Grid data management ...
While desktop grids are attractive platforms for executing parallel applications, their volatile nature has often limited their use to so-called “high-throughput” applications...
This paper presents novel service-based Grid data management middleware that leverages standards defined by WSRF specifications to create and manage dynamic Grid file system sessi...
Ming Zhao 0002, Vineet Chadha, Renato J. O. Figuei...
The emergence of computational grids has lead to an increased reliance on task schedulers that can guarantee the completion of tasks that are executed on unreliable systems. There...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
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 th...