Journal of Jilin University Science Edition

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Cloud Computing Resource Scheduling Scheme Based onAnt Colony Particle Swarm Optimization Algorithm

SA Rina   

  1. Department of Computer, Inner Mongolia University of Finance and Economics, Hohhot 010051, China
  • Received:2016-10-24 Online:2017-11-26 Published:2017-11-29
  • Contact: SA Rina E-mail:sarina666@163.com

Abstract: Through the improvement of ant colony algorithm and particle swarm algorithm, using the combination of advantages of the two algorithms, the author established an ant colony particle swarm optimization algorithm to improve the efficiency of cloud computing resource scheduling and solve the resource scheduling problem in cloud computing. The experimental results show that the algorithm consumes less time and gets better results.

Key words: cloud computing, ant colony algorithm, resource scheduling scheme, particle swarm algorithm

CLC Number: 

  • TP18