Research on resource and task scheduling under grid computing environments
HU Xu-huai · Jisuanji gongcheng yu sheji · 2009
In order to resolve task scheduling multi-objects question in dynamic heterogeneous environment, a model of task scheduling based on ratio of satisfaction conception is proposed. The optimization target of the model is to ensure the lowest fee, the best executing time and optimal load balancing. With the object function based on ratio of satisfaction, an IPSO (immune particle swarm optimization) algorithm is devised. The simulation results confirm that IPSO have better performance than PSO (particle swarm optimization) in global optimization capacity, higher searching speed and avoiding pre-maturity with the evolution.