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...
The need to conduct and manage large sets of experiments for scientific applications dramatically increased over the last decade. However, there is still very little tool support ...
Grid computations require global access to massive data stores. To meet this need, the GridNFS project aims to provide scalable, high-performance, transparent, and secure wide-are...
Instruments and sensors are the primary sources of data driving science and the development and refinement of theory. A critical component of eresearch yet to be clarified is the ...
Donald F. McMullen, Ian M. Atkinson, Kenneth Chiu,...
level is a grid abstract machine, which consists of a collection of typed nodes -- data nodes (purple), director nodes (red), management nodes (orange), and various processing node...