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Research on Improvement of Task Scheduling Algorithm in Cloud Computing |
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PP: 507-516 |
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Author(s) |
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Wu Mingxin,
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Abstract |
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| In recent years, cloud computing has been focused as a new mode of service in the field of computer science. This paper
starts from the definition, key technology and corresponding characteristic that are reviewed from all the aspects of cloud computing.
As found in both literature and practice, the cloud computing face the grand quantity of the user groups, as well as the quantity of tasks
and massive data, so the processing is also very significant. How to schedule tasks efficiently has become an important problem to be
solved in the field of cloud computing. For the programming framework of cloud computing, a dual fitness genetic algorithm (DFGA),
it can get shorter total task scheduling completion time and better results, and the results of the scheduling task average completion time
is also shorter. Through the simulation experiment of this algorithm, compared with other algorithms, the experimental results show
that, this algorithm is better than adaptive genetic algorithm, which can be an efficient task scheduling algorithm in cloud computing
environment. |
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