Tasks Scheduling in Computational Grid using a Hybrid Discrete Particle Swarm Optimization

Computing Grid is a high performance computing environment that allows sharing of geographically distributed resources across multiple administrative domains and used to solve large scale computational demands. To achieve the promising potentials of computational grids, job scheduling is an important issue to be considered. This paper addresses scheduling problem of independent tasks on computational grids. A Hybrid Discrete Particle Swarm Optimization algorithm (HDPSO) and Min-min algorithm is presented to reduce overall execution time of task