Computer Science ›› 2022, Vol. 49 ›› Issue (3): 354-359.doi: 10.11896/jsjkx.210200116

• Information Security • Previous Articles     Next Articles

Trust Evaluation Model of Cloud Manufacturing Services for Personalized Needs

YANG Yu-li1, LI Yu-hang1, DENG An-hua2   

  1. 1 College of Information and Computer,Taiyuan University of Technology,Taiyuan 030024,China
    2 School of Computer Science and Technology,Xidian University,Xi’an 710070,China
  • Received:2021-02-18 Revised:2021-06-04 Online:2022-03-15 Published:2022-03-15
  • About author:YANG Yu-li,born in 1979,Ph.D,is a member of China Computer Federation.Her main research interests include cloud manufacturing service,cloud computing and trust management.
  • Supported by:
    Young People Fundation of Shanxi Province,China(201901D211076).

Abstract: Aiming at the problems of weak extensibility and difficulty in meeting personalized requirements in traditional trust evaluation models of cloud manufacturing service,a trust evaluation model of cloud manufacturing service for personalized needs is proposed.Firstly,a multi-level and multi-granularity trust evaluation framework of cloud manufacturing service is designed.Then,based on the framework,a trust evaluation method of cloud manufacturing services based on cloud model is proposed.In this method,the cloud model theory is used to characterize different types of evaluation indexes uniformly,and also used to describe the personalized needs.The standard deviations are used to calculate the weight coefficients of different evaluation indexes.Finally,the effectiveness and feasibility of the proposed model are verified through a case analysis and a comparative experiment of time overhead,respectively.Compared with traditional methods,the experimental results show that within a reasonable amount of time,according to the personalized requirements of users,the proposed model could make more accurate trust evaluations for different cloud manufacturing service providers,and then help users choose the cloud manufacturing service with the higher satisfaction.

Key words: Cloud manufacturing service, Cloud model, Personalized need, Quality of service, Trust evaluation

CLC Number: 

  • TP391
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