Resiliency as a component importance measure in network reliability
- 1. School of Systems and Enterprises, Stevens Institute of Technology, Castle Point on Hudson, Hoboken, NJ 07030 (United States)
Description
This paper seeks to define the concept of resiliency as a component importance measure related to network reliability. Resiliency can be defined as a composite of: (1) the ability of a network to provide service despite external failures and (2) the time to restore service when in the presence of such failures. Although, Resiliency has been extensively studied in different research areas, this paper will study the specific aspects of quantifiable network resiliency when the network is experiencing potential catastrophic failures from external events and/or influences, and when it is not known a priori which specific components within the network will fail. A formal definition for Category I resiliency is proposed and a step-by-step approach based on Monte-Carlo simulation to calculate it is defined. To illustrate the approach, two-terminal networks with varying degrees of redundancy, have been considered. The results obtained for test networks show that this new quantifiable concept of resiliency provides insight into the performance and topology of the network. Future use for this work could include methods for safeguarding critical network components and optimizing the use of redundancy as a technique to improve network resiliency.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.ress.2009.05.001Additional details
Identifiers
- DOI
- 10.1016/j.ress.2009.05.001;
- PII
- S0951-8320(09)00106-9;
Publishing Information
- Journal Title
- Reliability Engineering and System Safety
- Journal Volume
- 94
- Journal Issue
- 10
- Journal Page Range
- p. 1685-1693
- ISSN
- 0951-8320
- CODEN
- RESSEP
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41014631
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- COMPUTERIZED SIMULATION; FAILURES; MONTE CARLO METHOD; OPTIMIZATION; PERFORMANCE; REDUNDANCY; RELIABILITY; TOPOLOGY
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICS; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.