Journal of Guangdong University of Technology ›› 2016, Vol. 33 ›› Issue (03): 32-36.doi: 10.3969/j.issn.1007-7162.2016.03.006

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Task Scheduling Algorithm Based on Improved Cuckoo Search Algorithm in Cloud Computing Environment

Liu Zhu-song, Chen Jie, Tian Long   

  1. School of Computers, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2016-01-15 Online:2016-05-19 Published:2016-05-19

Abstract:

In the view of efficient task scheduling, the researchers propose an improved cuckoo search based on the introduction of the variability of Cauchy operator, which is helpful in improving the global search and speeding up the convergence of algorithm, for addressing the problem of task scheduling and improving the global searching quality of the cuckoo search algorithm. The study uses an improved algorithm of integer encoding structure to get optimal solutions. The experimental results based on CloudSim platform show that the algorithm can significantly improve the effectiveness and efficiency.

Key words: cloud computing; task scheduling; cuckoo search algorithm; Cauchy distribution

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