Reliability for a stochastic flow computer network subject to time constraint and correlated failures

Ping Chen Chang, Yi-Kuei Lin, Ding Hsiang Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper constructs a time-based stochastic flow network (TSFN) model to evaluate the performance of a computer system. In such a TSFN, the failure of the physical lines comprising the edges of the computer network can experience correlated failures. In particular, the data transmitted by the network can be sent through two minimal paths simultaneously. A quantitative approach is proposed to evaluate the probability that a given amount of data can be sent from source to sink within a given time. The probability is defined as the system reliability to indicate the performance of the computer system. Experimental result shows that the impact of correlation on reliability could be significant under different constraints. The modeling approach can be further applied to optimization problem.

Original languageEnglish
Title of host publicationProceedings - 25th ISSAT International Conference on Reliability and Quality in Design
EditorsHoang Pham
PublisherInternational Society of Science and Applied Technologies
Pages24-28
Number of pages5
ISBN (Electronic)9780991057672
StatePublished - Aug 2019
Event25th ISSAT International Conference on Reliability and Quality in Design, RQD 2019 - Las Vegas, United States
Duration: 1 Aug 20193 Aug 2019

Publication series

NameProceedings - 25th ISSAT International Conference on Reliability and Quality in Design

Conference

Conference25th ISSAT International Conference on Reliability and Quality in Design, RQD 2019
Country/TerritoryUnited States
CityLas Vegas
Period1/08/193/08/19

Keywords

  • Correlated failure
  • System reliability
  • Time-based stochastic flow network (TSFN)
  • Two minimal paths

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