Immune-Inspired Online Method for Service Interactions Detection

  • Authors:
  • Jianyin Zhang;Fangchun Yang;Kai Shuang;Sen Su

  • Affiliations:
  • State Key Laboratory of Networking and Switching Technology, Beijing University of Posts & Telecommunications (BUPT), China;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts & Telecommunications (BUPT), China;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts & Telecommunications (BUPT), China;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts & Telecommunications (BUPT), China

  • Venue:
  • SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
  • Year:
  • 2007

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Abstract

Service composition technique aims to integrate several Web services to meet the increasing user demand that a single service can not satisfy. But it also brings the potential of abnormal message interactions among the composed services which lead to the service interactions problem resembling the feature interactions in the telecommunication area. Inspired by the similarities between the immune system and the service interactions detection system, this paper presents an online method to detect the service interactions problem by using ideas from the immune principles. The method overcomes the drawbacks of static methods, and conduces to an effective detection of not only known feature interactions, but also previously unknown ones.