¡¡Chinese Journal of Computers   Full Text
  TitleDynamic Methods of Trust-Aware Composite Service Selection
  AuthorsWANG Yong1) DAI Gui-Ping2) HOU Ya-Rong1)
  Address1)(College of Computer Science & Technology, Beijing University of Technology, Beijing 100124)
2)(College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124)
  Year2009
  IssueNo.8(1668¡ª1675)
  Abstract &
  Background 		Abstract Trust concept and Trust Degree are introduced into service composition and trust-aware service selection problem in service composition is discussed. The mathematic models based on two opinions are established. Based on opinion 1, the dynamic selection problem of service composition is researched deeply. Two dynamic selection methods are designed based on ant colony system: method 1 is under the environment of service providing perfect service without exceeding threshold and rejecting service with exceeding threshold; method 2 is under the environment of service¡¯s QoS descending when the invoke number increase. The tow methods have good effect through experiments and experiment results analysis.
Keywords service composition; trust; QoS; dynamic selection method
Background The work is supported by National Basic Research Program (973) (2007CB311100), BJUT Doctor Scientific Research Launching Fund (52007013200704) and BJUT Young Scientist Fund (97002011200702/X1007011200801). These programs aim to develop the basic theory foundation and key technologies of trusted computing. With trust concept and Trust Degree being introduced into service composition, the execution and selection of composite services could be carried out more effectively based on the trust degree of service; it is favorable for those component services with higher trust degree to join into the process of service composition, thus, enhances the trustiness of composite service. In this paper, the mathematic models based on two opinions in service composition are established. Based on opinion 1, the dynamic selection problem of service composition is researched deeply and two dynamic selection methods are designed based on ant colony system.