• DocumentCode
    2609246
  • Title

    Survivability analysis of reconfigurable systems

  • Author

    Bai, Li ; Biswas, Saroj ; Ortiz, Albert ; Ferrese, Frank ; Dalessandro, Don ; Dong, Qing

  • Author_Institution
    Temple Univ., Philadelphia
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    663
  • Lastpage
    667
  • Abstract
    This paper presents a new probabilistic approach to analyze the survivability of a system. We show similarities and differences between survivability and reliability analysis. In a reliability model, we can describe a k-out-of-n:G system (klesn), in which the component system is good only if any k or more components work. The system can also be configured into an initial k-out-of-n:G model with m backup components (0lesmlesn). If the system cannot perform its intended function, the m backup components will be reconfigured with the remaining working components into a new form to sustain system function. We refer to such studies to calculate the system successful probabilities as the survivability analysis. In this paper, we focus on the survivability analysis of a simple piping system. This study could potentially be used to analyze the survivability of power network systems, dependable secure computing systems, military reconfigurable information systems, and other large reconfigurable network systems.
  • Keywords
    pipes; probability; pumps; reliability theory; piping system; probabilistic approach; pumps; reconfigurable systems; reliability analysis; survivability analysis; Communication networks; Computer networks; Design engineering; Evolution (biology); Information analysis; Information systems; Military computing; Power system reliability; Probability; Reliability engineering; k-out-of-n:G system; reconfiguration; reliability; survivability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1529-8
  • Electronic_ISBN
    978-1-4244-1529-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2007.4419273
  • Filename
    4419273