A general model for the generation and scheduling of parameter sweep experiments in computational grid environments

Parameter sweep experiments (PSE) involve several issues. In this work, we consider two of them: the generation of the parameters space and the scheduling of the associated tasks. Thus, we propose a general model to generate the parameters space of any PSE applying the Nested Summation Symbol operator. On the other hand, for the scheduling of these kinds of problems, we test an adaptive scheduling approach with fault tolerance. This approach has been implemented, using the DRMAA-C version for GridWay, to allocate tasks in a Grid environment. In the tests, the scheduler shows a good performance. Moreover, the CPU usage of the scheduler is quite low.