JOURNAL ARTICLE

Resource on Scheduling Strategy of Cloud Computing based on Modify Genetic Algorithm

Chun Liu

Year: 2013 Journal:   Journal of Convergence Information Technology Vol: 8 (6)Pages: 359-366   Publisher: Advanced Institute of Convergence Information Technology Research Center

Abstract

In order to obtain a better cloud computing resource scheduling scheme, this paper proposes a resource scheduling model of cloud computing based on modifying the genetic algorithm. First resource scheduling sequence is encoded into a chromosome, and the degree of load balancing is the optimize target. Then the model carries out genetic algorithm selection, crossover and mutation operation and finds the optimal resource scheduling scheme of cloud computing by constantly searching. Simulation results show that modify genetic algorithm overcomes the defects of the basic genetic algorithm, and comparing to the relatively basic genetic algorithm. It finds better resource scheduling scheme of cloud computing to improve the utilization of computing resources.

Keywords:
Computer science Cloud computing Distributed computing Genetic algorithm Scheduling (production processes) Algorithm Mathematical optimization Operating system Machine learning Mathematics

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0.28
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Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
AI and Big Data Applications
Physical Sciences →  Computer Science →  Information Systems

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