Even though middleware support for grid computing has been the subject of extensive research, scheduling policies for the grid context have not been much studied. In addition to p...
Large-scale computing environments, such as TeraGrid, Distributed ASCI Supercomputer (DAS), and Grid’5000, have been using resource co-allocation to execute applications on mult...
One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
Most parallel computing resources are controlled by batch schedulers that place requests for computation in a queue until access to compute nodes is granted. Queue waiting times a...
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the simultaneous allocation of resources such as processors and input files in multipl...