Grid Resource Scheduling Strategy Based on Elite DNA Genetic Algorithm
Traditional resource scheduling algorithm, in grid environment, exist some defects, for example it can not well meet the quality requirements and can not get the optimal solution. This article gives a new resource scheduling method based on improved genetic algorithm. It achieves grid resource scheduling by using real number encoding and activities point crossover. Experiments show that genetic algorithm can reduce executing time and task completion time, and further improve the scalability of resource scheduling model. This algorithm has stability and high efficiency in grid environment.
Helen Zhang, Gang Shen and David Jin
S. J. Xue and W. Qi, "Grid Resource Scheduling Strategy Based on Elite DNA Genetic Algorithm", Advanced Materials Research, Vols. 204-210, pp. 1594-1598, 2011