Accelerated Reliability Analysis for Self-Healing SONET Networks

Recently, a parametric State Reward Markov Model SRMM p has been developed for the reliability and availability analysis of self-healing SONET mesh networks 2 . In this paper, we investigate the factors that a ect the run-time complexity of the model presented in 2 . In order to accelerate the reliability and availability analysis, we present an approach that aggregates a set of states in the model based on 2-phase hypoexponential distribution. A comparison of the original and the reduced model, with respect to runtime complexity and accuracy, is carried out by applying the models for the analysis of few complex networks.

• Type: Conference
• Year: 1998
• Where: SIGCOMM
• Authors: Hakki C. Cankaya, V. S. S. Nair
• Keywords: Availability Analysis, Communications, Reward Markov Model, Self-healing Sonet Mesh, SIGCOMM 1998