Across a wide variety of fields, huge datasets are being collected and accumulated at a dramatical pace. The datasets addressed by individual applications are very often heteroge...
In a grid computing environment, resources are autonomous, wide-area distributed, and what’s more, they are usually not free. These unique characteristics make scheduling in a s...
Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, ...
Grid computing has been presented as a way to share geographically and organizationally distributed resources and to perform successfully distributed computation. For achieve this ...
In a computational grid environment, a common practice is try to allocate an entire parallel job onto a single participating site. Sometimes a parallel job, upon its submission, ca...