A task scheduling method in grid computing based on target genetic algorithm

Gird computing is anew computing-framework to meet the growing computational demands: Grid computing provides mechanisms for sharing and accessing large and heterogeneous collections of remote resources. However, how to scheduling the subtasks in these heterogeneous resources is a critical problem. This paper puts forward a task scheduling algorithm based on genetic algorithm. It first generates a fitness function through weighted least,connection algorithm, and than generates a new group of individuals through genetic operation such as reproduction, crossover, mutation, etc. It approaches-optimization gradually through frequent evolutions. Finally, the simulation results of the algorithm and conclusion are given.