Analysis of the hybrid scheduling algorithm in the gird environment

Considering traditional task scheduling algorithm in gird environment can´t balance node load and meet needs of the user quality of service, mixed calculation of the traditional algorithm can improve the scheduling time and meet the user quality of service. By using strong global search ability of genetic algorithm and the advantages of high precision of the ant colony algorithm, it proposes hybrid scheduling method of a combination of the two algorithms. Experiments show that the hybrid scheduling algorithm can reduce completion time of the task, improve the efficiency of resource scheduling, and efficiency in large-scale task scheduling is superior to genetic algorithms and ant colony algorithm. This mixed scheduling policy can make load balancing degree of the gird system better, Succeed in solving the gird task scheduling problem and has broad application prospects in the gird task scheduling strategy.