Computer Science ›› 2013, Vol. 40 ›› Issue (5): 103-106.

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Research on Cloud Service Composition Based on Culture Social Cognitive Optimization Algorithm

LIU Zhi-zhong,WANG Zhi-jian,XUE Xiao and LU Bao-yun   

  • Online:2018-11-16 Published:2018-11-16

Abstract: QoS-aware cloud service composition is an challenge problem in the field of cloud computing.To solve this problem,this paper first improved the social cognitive optimization,and then put the improved SCO algorithm into the framework of Culture Algorithm,constructed a novel algorithm--culture social cognitive optimization(C-SCO),finally,used C-SCO to solve the QoS-aware cloud service composition problem.Experiment results show that C-SCO has stronger searching ability and faster convergence speed when solving cloud service composition problem.At the same time,C-SCO can also be used to solve other combination optimal problem.

Key words: Cloud computing,Cloud service composition,Quality of service,Social cognitive optimization,Culture algorithm

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