• DocumentCode
    189206
  • Title

    Self-Adaptive Fuzzy Architecture to Predict and Decrease e-Contract Violations

  • Author

    Talon, A.F. ; Madeira, Edmundo R. M. ; Toledo, M.B.F.

  • Author_Institution
    Inst. of Comput., Univ. of Campinas, Campinas, Brazil
  • fYear
    2014
  • fDate
    18-22 Oct. 2014
  • Firstpage
    294
  • Lastpage
    299
  • Abstract
    Web service monitoring is important for consumers and providers. For the consumer, it is important to know if the provider is respecting the established electronic contract. Providers must satisfy functional and non-functional features as required by consumers. This paper proposes a self-adaptive architecture for web service monitoring which tries to predict when the provider may not respond in time because of its load. It focuses initially on one non-functional feature, the response time. The goal is to decrease the average response time of requests made to the provider. To improve the response time, the proposed architecture uses a fuzzy method to increase the priority of services whose contract may be violated. Changing priorities gives to the provider an adaptive behaviour to avoid contract violations. Results show that a decrease in the average response time implies a decrease in the number of contract violations.
  • Keywords
    Web services; consumer behaviour; consumer protection; contract law; contracts; self-adjusting systems; Web service monitoring; average response time; consumers; e-contract violations; electronic contract; fuzzy method; self-adaptive fuzzy architecture; Computer architecture; Contracts; Fuzzy systems; Monitoring; Quality of service; Time factors; Web services; Fuzzy Monitoring; Pro-Active Monitoring; Self-Adaptive Monitoring; Web-Service Monitoring; e-Contract Violation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (BRACIS), 2014 Brazilian Conference on
  • Conference_Location
    Sao Paulo
  • Type

    conf

  • DOI
    10.1109/BRACIS.2014.60
  • Filename
    6984846