• DocumentCode
    1029546
  • Title

    A framework for characterizing disaster-based network survivability

  • Author

    Liew, Soung C. ; Lu, Kevin W.

  • Author_Institution
    Bellcore, Morristown, NJ, USA
  • Volume
    12
  • Issue
    1
  • fYear
    1994
  • fDate
    1/1/1994 12:00:00 AM
  • Firstpage
    52
  • Lastpage
    58
  • Abstract
    This paper formulates a general framework that includes and extends the existing definitions for network survivability. Based on this framework, network survivability is characterized by a survivability function rather than a single-value survivability measure, and various quantities of interest can be derived from the function. Examples are the expected survivability, the worst-case survivability, the r-percentile survivability, and the probability of zero survivability. The survivability function is especially useful for the study of large-scale disasters. For illustration, the authors derive the survivability function in closed form for a simple ring network under link failures. They also discuss the general procedure for finding survivability functions for complex networks, and show that the survivability function reveals useful information about a network. This framework provides a unified and practical approach to analyzing and designing highly survivable communications networks
  • Keywords
    disasters; probability; reliability; telecommunication networks; closed form function; disaster-based network survivability; expected survivability; link failures; network design; r-percentile survivability; ring network; survivability function; survivable communications networks; worst-case survivability; zero survivability probability; Availability; Communication networks; Complex networks; Hurricanes; Large-scale systems; Loss measurement; Robustness; Telecommunication network reliability; Telecommunication traffic; Tornadoes;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.265704
  • Filename
    265704