Abstract
With the computer technology and network technology development, great meet people’s work and life needs, but a single computer can not meet the needs of computing or storage, grid resource scheduling strategy can achieve resource sharing, This paper introduces artificial school of fish algorithm to grid resource scheduling in order to further use the element of heuristic optimization method to find a more suitable high-performance grid computing environment, resource scheduling strategy. Through uses AFSA algorithm solving this kind of scheduling of resources question, seeks the new key to the situation for the scheduling of resources question, by enhances the scheduling of resources effectively the efficiency. And carried on the simulation experiment after the improvement algorithm in the Gridsim grid simulation software, and has carried on the contrast with other algorithms, finally indicated this article proposed the algorithm has the better search ability and the convergence rate.
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Li, Q., Zhai, Y., Han, S., Mo, B. (2011). The Study of Improved Grid Resource Scheduling Algorithm. In: Liu, B., Chai, C. (eds) Information Computing and Applications. ICICA 2011. Lecture Notes in Computer Science, vol 7030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25255-6_50
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DOI: https://doi.org/10.1007/978-3-642-25255-6_50
Publisher Name: Springer, Berlin, Heidelberg
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