• DocumentCode
    2601058
  • Title

    Run-time systems failure prediction via proactive monitoring

  • Author

    Zhang, Pengcheng ; Muccini, Henry ; Polini, Andrea ; Li, Xuandong

  • Author_Institution
    State Key Lab. of Novel Software Technol., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    6-10 Nov. 2011
  • Firstpage
    484
  • Lastpage
    487
  • Abstract
    In run-time evolving systems, components may evolve while the system is being operated. Unsafe run-time changes may compromise the correct execution of the entire system. Traditional design-time verification techniques difficultly cope with run-time changes, and run-time monitoring may detect disfunctions only too late, when the failure arises. The desire would be to define advanced monitors with the ability to predict and prevent the potential errors happening in the future. In this direction, this paper proposes CASSANDRA, a new approach that by combining design-time and run-time analysis techniques, can “look ahead” in the near execution future, and predict potential failures. During run-time we on-the-fly construct a model of the future k-step global state space according to design-time specifications and the current execution state. Consequently, we can run-time check whether possible failures might happen in the future.
  • Keywords
    program testing; program verification; Cassandra; design time analysis technique; design time specifications; design time verification technique; k-step global state space; proactive monitoring; run-time analysis techniques; run-time monitoring; run-time system failure prediction; Automata; Component architectures; Educational institutions; Monitoring; Software; Synchronization; Weaving; Component-based Software Engineering; Failure Prediction; Proactive run-time Monitoring; Software Evolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automated Software Engineering (ASE), 2011 26th IEEE/ACM International Conference on
  • Conference_Location
    Lawrence, KS
  • ISSN
    1938-4300
  • Print_ISBN
    978-1-4577-1638-6
  • Type

    conf

  • DOI
    10.1109/ASE.2011.6100105
  • Filename
    6100105