Task scheduling Poblem in Grid Networks by Combination of Genetic Algorithms and Gravity Algorithms

ABSTRACT: Grid computing is one of the objectives of computational resources for processing user applications or clients that lead to high-quality services at lower costs and greater flexibility is. Increase in grid computing resources to Grady system is felt that to be able to manage this kind of resources to quickly respond to various requests. Therefore, users work schedule for processing by the appropriate resources in grid networks, a fundamental issue in achieving high performance in grid computing systems have been proposed network. This category of NP problems so far many methods to solve using innovative algorithms are presented. In this paper, to solve the scheduling problem in grid computing system combining genetic algorithms and algorithms of gravity is used. Experimental results show that the proposed algorithm has high performance.