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...
In this paper, we present an algorithm for scheduling of distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring ...
Our study of a large set of scientific applications over the past three years indicates that the processing for multidimensional datasets is often highly stylized. The basic proce...
Chialin Chang, Renato Ferreira, Alan Sussman, Joel...
Typical Grid computing scenarios involve many distributed hardware and software components. The more components that are involved, the more likely it is that one of them may fail....
Dan Gunter, Brian Tierney, Craig E. Tull, Vibha Vi...
Data Grids provide transparent access to heterogeneous and autonomous data resources. The main contribution of this paper is the presentation of a data sharing system that (i) is ...