Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (1): 270-275.doi: 10.11896/jsjkx.181102228

• Computer Network • Previous Articles     Next Articles

Web Service Composition by Combining FAHP and Graphplan

FAN Guo-dong,ZHU Ming,LI Jing,CUI Xiao-liu   

  1. (College of Computer Science and Technology,Shandong University of Technology,Zibo,Shandong 255000,China)
  • Received:2018-11-30 Published:2020-01-19
  • About author:FAN Guo-dong,born in 1990,master student.He is currently working on automated Web service composition.His main research interests are Web service composition,micro-service architecture and machine learning;ZHU Ming,born in 1983,Ph.D,is member of China Computer Federation (CCF).His main interests are related to process-oriented programming,Web service composition,event modeling,and concurrent systems.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61473179),Zibo City and University Integration Development Projects (2018ZBXC295),Science and Technology Projects of Shandong University of Technology (4041-417010).

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Abstract: In recent years,with the advance of cloud computing,more and more services have been published online.How to search an optimal composition with both functional and non-functional requirements has become a challenging problem.QoS-aware web service composition is an NP-hard problem.To solve this problem,a system combining FAHP with improved Graphplan algorithm was proposed.Firstly,the overall QoS of service is generated by using FAHP according to user preferences.Se-condly,in the forward expand stage of Graphplan,dynamic threshold is used to prune less competitive services,which reduces time complexity while ensuring that critical services are retained.Finally,in the backward searching stage of Graphplan,service with best overall QoS is selected into the composition,under the premise of meeting the functional requirements.Experimental results show that the proposed algorithm not only improves the quality of service composition,but also reduces the program running time significantly compared with the ordinary Graphplan,Skyline and other methods.

Key words: Web service composition,Quality of service,Fuzzy analytical hierarchy process,Graphplan,Automatic composition

CLC Number: 

  • TP393
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