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Efficient cloud computing scheduling: Comparing classic algorithms with generic algorithm

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This can be done by using classic algorithms whose results have been studied and compared with our proposed algorithm, genetic algorithm. Selecting an appropriate and efficient algorithm for resources scheduling is required due to dynamic feature of resources and various requests of users in cloud technology to increase efficiency. In this research, our purpose is to perform and obtain an optimal scheduling by using genetic algorithm to reach the main purpose of finding an optimum scheduling to execute tasks graph in a multi-processor structure so that total execution time or ending time of the last work unit is minimized.
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Efficient cloud computing scheduling: Comparing classic algorithms with generic algorithm

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