Distributed Resource Scheduling Algorithm Based on Hybrid Genetic Algorithm
Sen Pan, Junfeng Qiao, Jing Jiang, Jin Huang, Liping Zhang · 2017
With the development of wide area distributed computing, how to efficiently and reasonably arrange all kinds of resources in the whole computing environment has become an important research direction. Traditional resource scheduling methods do not consider the impact of task priority on resource scheduling. In order to solve this problem, this paper proposes a distributed resource scheduling algorithm based on hybrid genetic algorithm. The simulation results show that compared with the traditional algorithm, the proposed algorithm has a great advantage in the average number of convergence, resource utilization, average time consuming and the total completion time of tasks.