Using Fuzzy decision making for increased reliability in Grid Computing
Journal Title: Journal of Science and today’s world - Year 2015, Vol 4, Issue 1
Abstract
Grid concept is the extensive network of high computational power that can be connected to the Internet. This network consists of computers and supercomputers that can process data at a very high speed processing. The computational grid is a hardware and software infrastructure, the availability of reliable, sustainable, inclusive and provides cheap. One of the major challenges in grid reliability [3]. Various methods have been proposed to increase the reliability of the grid. Since most of them used the static mathematical formulas, complex and unpredictable situations can not be responsible. The criteria considered include the application, processor speed, the number of resources required and the CPU queue. The results of simulation show that the speed of response of the new method is more efficient than GA. Load balancing allocation request, stating that the new load balancing method is better than genetics.
Authors and Affiliations
Saaed Mahmoudi, Aliasghar Pourhaji Kazem
Keywords
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