Network survivability performance evaluation:: a quantitative approach with applications in wireless ad-hoc networks

  • Authors:
  • Dongyan Chen;Sachin Garg;Kishor S. Trivedi

  • Affiliations:
  • Duke University, Durham, NC;Avaya Labs Research, Basking Ridge, NJ;Duke University, Durham, NC

  • Venue:
  • MSWiM '02 Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
  • Year:
  • 2002

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Abstract

Network survivability reflects the ability of a network to continue to function during and after failures. Our purpose in this paper is to propose a quantitative approach to evaluate network survivability. We perceive the network survivability as a composite measure consisting of both network failure duration and failure impact on the network. A wireless ad-hoc network is analyzed as an example, and the excess packet loss due to failures (ELF) is taken as the survivability performance measure. To obtain ELF, we adopt a two phase approach consisting of the steady-state availability analysis and transient performance analysis. Assuming Markovian property for the system, this measure is obtained by solving a set of Markov models. By utilizing other analysis paradigms, our approach in this paper may also be applied to study the survivability performance of more complex systems.