Int J Performability Eng ›› 2017, Vol. 13 ›› Issue (7): 1039-1047.doi: 10.23940/ijpe.17.07.p5.10391047

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Service Selection Method based on Skyline in Cloud Environment

Yanpei Liu*, Rui Yang, and Suzhi Zhang   

  1. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

Abstract: In view of the fact that SaaS service cannot currently guarantee reliability and instantaneity, a dynamic SaaS service selection strategy based on Skyline (SSBS) is proposed. In this method, to select the matching services in the SaaS services library, the Skyline computation is used to reduce redundancy. Then, service selection can be made using mixed integer programming. The experimental results show that the proposed method can accurately select the most suitable could service.


Submitted on July 25, 2017; Revised on August 30, 2017; Accepted on September 15, 2017
References: 12