New event-driven sampling techniques for network reliability estimation

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Abstract

Exactly computing network reliability measures is an NP-hard problem. Therefore, Monte Carlo simulation has been frequently used by network designers to obtain accurate estimates. This paper focuses on simulation estimation of network reliability. Using a heap data structure, efficient implementation of a previous approach, dagger sampling, is proposed. Two new techniques, geometric sampling and block sampling, are developed to efficiently sample states of a network. These techniques are event-driven rather than time-driven, and are thus efficient for highly reliable networks. To test relative performance, computational experiments are carried out on various types of networks using the new procedures.

Original languageEnglish (US)
Pages (from-to)224-231
Number of pages8
JournalProceedings - Winter Simulation Conference
Volume1
Publication statusPublished - Dec 1 2004
EventProceedings of the 2004 Winter Simulation Conference - Washington, DC, United States
Duration: Dec 5 2004Dec 8 2004

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All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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