Journal of Theoretical and Applied Information Technology
Cloud computing environment can offer dynamic and elastic virtual resources to the end users on demand basis. Task scheduling should satisfy the dynamic requirements of users and also need to utilize the virtual resources efficiently in cloud environment, so that task scheduling in cloud is an NP-Complete problem. In this paper, the authors present a Hybrid Particle Swarm Optimization (HPSO) based scheduling heuristic to balance the load across the entire system while trying to minimize the makespan of a given task sets. Finally, experimentation results show that hybrid PSO is more effective as compared to using existing simple PSO algorithm.