Title: Risk assessment modelling for power optical backbone communication network based on MLFSR-oriented sampling Markov technique

Authors: Huisheng Gao; Yujun He

Addresses: Department of Electronic and Communication Engineering, North China Electric Power University, P.O. Box 619#, Yonghua North Street, Baoding, China ' Department of Electronic and Communication Engineering, North China Electric Power University, P.O. Box 619#, Yonghua North Street, Baoding, China

Abstract: In this paper, a hybrid multi-link failure statuses reduction (MLFSR)-oriented sampling Markov technique used for network service risk assessment is proposed. First, the link failure probability p is determined through link failure rate λ and repair rate μ. Then the link failure statuses can be reduced according to p, links number n and confidence level α which simplifies the failure state Markov model in assessing the possible service loss. Second, the sample size for each link failure status can be further reduced based on t bilateral percentile statistic theory in service loss estimation. Finally, the simulation and comparison are carried out for a practical communication network, and the results show that the network risk R has approximately linear relationship with link failure rate λ and mean repair time τ. This study is expected to have significant reference value for formulating risk-controlling measures to diminish communication network risk.

Keywords: power communication network; optical backbone network; link failure status reduction; service risk.

DOI: 10.1504/IJISE.2018.096162

International Journal of Industrial and Systems Engineering, 2018 Vol.30 No.4, pp.468 - 485

Received: 26 May 2016
Accepted: 25 Nov 2016
Published online: 15 Nov 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article