New Event-driven Sampling Techniques for Network Reliability Estimation

Exactly computing network reliability measures is an NPhard 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.

• Type: Conference
• Year: 2004
• Where: WSC
• Authors: Abdullah Konak, Alice E. Smith, Sadan Kulturel-Konak
• Keywords: Modeling And Simulation, Monte Carlo Simulation, Network Reliability, Network Reliability Measures, WSC 2004