Reliability of time-constrained multi-state network susceptible to correlated component faults

Correlation can seriously degrade reliability and capacity due to the simultaneous failure of multiple components, which lowers the probability that a system can execute its required functions with acceptable levels of confidence. The high cost of fault in time-critical systems necessitates methods...

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Veröffentlicht in:	Annals of operations research Jg. 311; H. 1; S. 239 - 254
Hauptverfasser:	Lin, Yi-Kuei, Fiondella, Lance, Chang, Ping-Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2022 Springer Springer Nature B.V
Schlagworte:	Business and Management Combinatorics Component reliability Computer networks Constraint modelling Design optimization Electronic data processing Fault location (Engineering) Faults Methods Network reliability Operations research Operations Research/Decision Theory Reliability (Engineering) S.I.: Reliability Modeling with Applications Based on Big Data System reliability Theory of Computation Taiwan System reliability Time-constrained multi-state network (TCMSN) Correlated fault
ISSN:	0254-5330, 1572-9338
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Abstract	Correlation can seriously degrade reliability and capacity due to the simultaneous failure of multiple components, which lowers the probability that a system can execute its required functions with acceptable levels of confidence. The high cost of fault in time-critical systems necessitates methods to explicitly consider the influence of correlation on reliability. This paper constructs a network-structured model, namely time-constrained multi-state network (TCMSN), to investigate the capacity of a computer network. In the TCMSN, the physical lines comprising the edges of the computer network experience correlated faults. Our approach quantifies the probability that d units of data can be sent from source to sink in no more than T units of time. This probability that the computer network delivers a specified level of data before the deadline is referred to as the system reliability. Experimental results indicate that the negative influence of correlation on reliability could be significant, especially when the data amount is close to network bandwidth and the time constraint is tight. The modeling approach will subsequently promote design and optimization studies to mitigate the vulnerability of networks to correlated faults.
AbstractList	Correlation can seriously degrade reliability and capacity due to the simultaneous failure of multiple components, which lowers the probability that a system can execute its required functions with acceptable levels of confidence. The high cost of fault in time-critical systems necessitates methods to explicitly consider the influence of correlation on reliability. This paper constructs a network-structured model, namely time-constrained multi-state network (TCMSN), to investigate the capacity of a computer network. In the TCMSN, the physical lines comprising the edges of the computer network experience correlated faults. Our approach quantifies the probability that d units of data can be sent from source to sink in no more than T units of time. This probability that the computer network delivers a specified level of data before the deadline is referred to as the system reliability. Experimental results indicate that the negative influence of correlation on reliability could be significant, especially when the data amount is close to network bandwidth and the time constraint is tight. The modeling approach will subsequently promote design and optimization studies to mitigate the vulnerability of networks to correlated faults. Correlation can seriously degrade reliability and capacity due to the simultaneous failure of multiple components, which lowers the probability that a system can execute its required functions with acceptable levels of confidence. The high cost of fault in time-critical systems necessitates methods to explicitly consider the influence of correlation on reliability. This paper constructs a network-structured model, namely time-constrained multi-state network (TCMSN), to investigate the capacity of a computer network. In the TCMSN, the physical lines comprising the edges of the computer network experience correlated faults. Our approach quantifies the probability that d units of data can be sent from source to sink in no more than T units of time. This probability that the computer network delivers a specified level of data before the deadline is referred to as the system reliability. Experimental results indicate that the negative influence of correlation on reliability could be significant, especially when the data amount is close to network bandwidth and the time constraint is tight. The modeling approach will subsequently promote design and optimization studies to mitigate the vulnerability of networks to correlated faults.
Audience	Academic
Author	Lin, Yi-Kuei Chang, Ping-Chen Fiondella, Lance
Author_xml	– sequence: 1 givenname: Yi-Kuei surname: Lin fullname: Lin, Yi-Kuei organization: Department of Industrial Engineering and Management, National Chiao Tung University – sequence: 2 givenname: Lance surname: Fiondella fullname: Fiondella, Lance organization: Department of Electrical & Computer Engineering, University of Massachusetts – sequence: 3 givenname: Ping-Chen orcidid: 0000-0001-5563-2580 surname: Chang fullname: Chang, Ping-Chen email: pcchang@nqu.edu.tw organization: Department of Industrial Engineering and Management, National Quemoy University
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SubjectTerms	Business and Management Combinatorics Component reliability Computer networks Constraint modelling Design optimization Electronic data processing Fault location (Engineering) Faults Methods Network reliability Operations research Operations Research/Decision Theory Reliability (Engineering) S.I.: Reliability Modeling with Applications Based on Big Data System reliability Theory of Computation
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Title	Reliability of time-constrained multi-state network susceptible to correlated component faults
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