Effective Task Scheduling in Cloud Computing Based on Improved Social Learning Optimization Algorithm

Authors

  • Zhizhong Liu Century Avenue 2001, Jiaozuo city, Henan Province, China: and College of computer science and technology, Henan Polytechnic University
  • Jingxuan Qin Century Avenue 2001, Jiaozuo city, Henan Province, China: and College of computer science and technology, Henan Polytechnic University
  • Weiping Peng Century Avenue 2001, Jiaozuo city, Henan Province, China: and College of computer science and technology, Henan Polytechnic University
  • Hao Chao Century Avenue 2001, Jiaozuo city, Henan Province, China: and College of computer science and technology, Henan Polytechnic University

DOI:

https://doi.org/10.3991/ijoe.v13i06.6695

Keywords:

Cloud Computing, Task Scheduling, Social Learning Optimization Algorithm, Service of Quality

Abstract


For the typical optimal problem of task scheduling in cloud computing, this paper proposes a novel resource scheduling algorithm based on Social Learning Optimization Algorithm (SLO). SLO is a new swarm intelligence algorithm which is proposed by simulating the evolution process of human intelligence and has better optimization mechanism and optimization performance. This paper proposes two learning operators for task scheduling in cloud computing after analyzing the characteristics of the problem of task scheduling; then, by introducing the Small Position Value (SPV) method, the two learning operators with continuous nature essence are enabled to solve the problem of task scheduling, and then the improved SLO is employed to solve the problem of cloud resource optimal scheduling. Finally, the performance of improved SLO is compared with existing research work on the CloudSim platform. Experimental results show that the approach proposed in this paper has better global optimization ability and convergence speed.

Author Biographies

Zhizhong Liu, Century Avenue 2001, Jiaozuo city, Henan Province, China: and College of computer science and technology, Henan Polytechnic University

Zhizhong Liu was born in Shangshui county, Zhoukou City, in 1981. received the PhD degree in computer science from the HoHai University, Nan jing, China, in 2011. He is currently an lecturer in the Henan Polytechnic University and Post doctoral in Harbin Institute Of Technology. His main research interests are in Swarm intelligence algorithm, Web service computing and Cloud Computing.

Jingxuan Qin, Century Avenue 2001, Jiaozuo city, Henan Province, China: and College of computer science and technology, Henan Polytechnic University

Jingxuan Qin was born in Linfen city,Shanxi province,in 1991.Currently, she is a graduate student with the School of Computer science and technology in the Henan Polytechnic University.Her current main research interests includes Swarm intelligence algorithm and Cloud Computing.

Weiping Peng, Century Avenue 2001, Jiaozuo city, Henan Province, China: and College of computer science and technology, Henan Polytechnic University

Weiping Peng was born in TianMen City, Hubei Province in 1979. He received the Ph.D. degree in Signal and Information Processing from the Beijing University of Posts and Telecommunications, Beijing, China, in 2011. He is currently a associate professor at the School of Computer Science and Technology in Henan Polytechnic University. His main research interests include information security, data leakage prevention and security and application of IOT.

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Published

2017-06-19

How to Cite

Liu, Z., Qin, J., Peng, W., & Chao, H. (2017). Effective Task Scheduling in Cloud Computing Based on Improved Social Learning Optimization Algorithm. International Journal of Online and Biomedical Engineering (iJOE), 13(06), pp. 4–21. https://doi.org/10.3991/ijoe.v13i06.6695

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Section

Papers