• DocumentCode
    1937787
  • Title

    A Fault Detection Mechanism for Fault-Tolerant SOA-Based Applications

  • Author

    Chen, Hao-Peng ; Wang, Zhi-Yong

  • Author_Institution
    Shanghai Jiao Tong Univ., Shanghai
  • Volume
    7
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3777
  • Lastpage
    3781
  • Abstract
    Fault tolerance is an important capability for SOA-based applications, since it ensures the dynamic composition of services and improves the dependability of SOA-based applications. Fault detection is the first step of fault detection, so this paper focuses on fault detection, and puts forward a fault detection mechanism, which is based on the theories of artificial neural network and probability change point analysis rather than static service description, to detect the services that fail to satisfy performance requirements at runtime. This paper also gives reference model of fault-tolerance control center of enterprise services bus.
  • Keywords
    neural nets; probability; software architecture; software fault tolerance; artificial neural network; fault detection mechanism; fault-tolerant SOA-based application; probability change point analysis; service-oriented architecture; Application software; Artificial neural networks; Computer architecture; Delay; Fault detection; Fault tolerance; Machine learning; Performance analysis; Runtime; Service oriented architecture; Artificial neural network; Fault detection; Performance requirement; Probability change point analysis; Soa;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370804
  • Filename
    4370804