Network reliability importance measures: combinatorics and Monte Carlo based computations

  • Authors:
  • Ilya Gertsbakh;Yoseph Shpungin

  • Affiliations:
  • Department of Mathematics, Ben Gurion University, Israel;Department of Software Engineering, Negev Academic College of Engineering and NMCRC, Israel

  • Venue:
  • WSEAS Transactions on Computers
  • Year:
  • 2008

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Abstract

In this paper we focus on computational aspects of network reliability importance measure evaluation. It is a well known fact that most network reliability problems are NP-hard and therefore there is a significant gap between theoretical analysis and the ability to compute different reliability parameters for large or even moderate networks. In this paper we present two very efficient combinatorial Monte Carlo models for evaluating network reliability importance measures.