Scheduling based resource optimization in networked modeling and simulation

A constantly increasing number of resource demanding applications from various scientific sectors are finding their way towards adopting Grid technologies in order to take advantage of their computational power. The aim of this paper is to demonstrate how tasks of large-scale distributed simulation can be scheduled based on GA in a Grid environment by taking into account load of computing nodes, network bandwidth and communication delay. For this purpose, the connotation of task scheduling formulation, the computation of chromosome fitness, selection, crossover and mutation of GA is expounded. The proposed approach yields very good results for the conducted experiment.