Cloud Computing Resource Scheduling Method Research Based on Improved Genetic Algorithm

Author:

Cui Yun Fei1,Li Xin Ming1,Dong Ke Wei,Zhu Ji Lu1

Affiliation:

1. The Academy of Equipment Command and Technology

Abstract

Resource scheduling is the key port of cloud computing resource management. One excellent method may enhance the efficiency of the whole cloud computing system, and effectively share resource in wide area. Genetic Algorithm has adaptability, global optimization ability and implicit parallelism, which is not in other methods. For the sake of scheduling effective resource to accomplish relevant task, improved genetic algorithm is adopted in cloud computing resource scheduling research. Finally, a simulation based on cloudsim is carried out, which proves the correctness and validity of the scheduling method mentioned in this paper.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference7 articles.

1. Cui yun-fei, Wang shuai, Li yi. Cloud Computing Resource Management Research Based on Multi-level Hierarchical Control Structure [J]. Journal of the Academy of Equipment Command & Technology. 2010, 21(2): 117-122.

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3. Lin jian-ning, Wu hu-zhong. Scheduling in Grid Computing Environment Based on Genetic Algorithm [J]. Journal of Computer Research and Development, 2004, 41(12): 2195-2199.

4. Zhu chang-wu, Dai shang-ping, Liu zhi. Parallel Genetic Algorithm Applied to Multi-tasks Schedule [J]. Control&Management, 2007, 23(6): 200-201.

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