Effect of Maintenance on the Dependability and Performance of Mulitprocessor Systems

Chitaranjan Das; Laxmi N. Bhuyan; V. V S Sarma

doi:10.1109/TR.1987.5222343

Effect of Maintenance on the Dependability and Performance of Mulitprocessor Systems

Chitaranjan Das, Laxmi N. Bhuyan, V. V S Sarma

Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Conclusions-This paper presents analytic models for dependability and performance evaluation of multiprocessor systems with both on-line and off-line maintenance. Markov models are developed to compute the system reliability and performance availability incorporating the reliability of the maintenance processor.The maintenance processor failure is considered separately in order to emphasize its effect on system performance and dependability. The reliability of the maintenance processor can not be ignored for degradable multiprocessors. Probabilistic models are presented to compute the system downtime and the service cost for three off-line maintenance policies: scheduled maintenance (SM), unscheduled maintenance (UM), and scheduled & unscheduled maintenance (SUM). The SUM policy, that combines both SM and UM, can be used to give a compromise between cost and downtime.Reader Aids- Purpose: Widen state of the art Special math needed for explanations: Probabilityon Rpesualmatussefl to:Mulproesultso dsner Retsyustem alysts.

Original language	English (US)
Pages (from-to)	208-215
Number of pages	8
Journal	IEEE Transactions on Reliability
Volume	R-36
Issue number	2
DOIs	https://doi.org/10.1109/TR.1987.5222343
State	Published - Jun 1987

All Science Journal Classification (ASJC) codes

Safety, Risk, Reliability and Quality
Electrical and Electronic Engineering

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TR.1987.5222343

Cite this

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title = "Effect of Maintenance on the Dependability and Performance of Mulitprocessor Systems",

abstract = "Conclusions-This paper presents analytic models for dependability and performance evaluation of multiprocessor systems with both on-line and off-line maintenance. Markov models are developed to compute the system reliability and performance availability incorporating the reliability of the maintenance processor.The maintenance processor failure is considered separately in order to emphasize its effect on system performance and dependability. The reliability of the maintenance processor can not be ignored for degradable multiprocessors. Probabilistic models are presented to compute the system downtime and the service cost for three off-line maintenance policies: scheduled maintenance (SM), unscheduled maintenance (UM), and scheduled & unscheduled maintenance (SUM). The SUM policy, that combines both SM and UM, can be used to give a compromise between cost and downtime.Reader Aids- Purpose: Widen state of the art Special math needed for explanations: Probabilityon Rpesualmatussefl to:Mulproesultso dsner Retsyustem alysts.",

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AU - Das, Chitaranjan

AU - Bhuyan, Laxmi N.

AU - Sarma, V. V S

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Y1 - 1987/6

N2 - Conclusions-This paper presents analytic models for dependability and performance evaluation of multiprocessor systems with both on-line and off-line maintenance. Markov models are developed to compute the system reliability and performance availability incorporating the reliability of the maintenance processor.The maintenance processor failure is considered separately in order to emphasize its effect on system performance and dependability. The reliability of the maintenance processor can not be ignored for degradable multiprocessors. Probabilistic models are presented to compute the system downtime and the service cost for three off-line maintenance policies: scheduled maintenance (SM), unscheduled maintenance (UM), and scheduled & unscheduled maintenance (SUM). The SUM policy, that combines both SM and UM, can be used to give a compromise between cost and downtime.Reader Aids- Purpose: Widen state of the art Special math needed for explanations: Probabilityon Rpesualmatussefl to:Mulproesultso dsner Retsyustem alysts.

AB - Conclusions-This paper presents analytic models for dependability and performance evaluation of multiprocessor systems with both on-line and off-line maintenance. Markov models are developed to compute the system reliability and performance availability incorporating the reliability of the maintenance processor.The maintenance processor failure is considered separately in order to emphasize its effect on system performance and dependability. The reliability of the maintenance processor can not be ignored for degradable multiprocessors. Probabilistic models are presented to compute the system downtime and the service cost for three off-line maintenance policies: scheduled maintenance (SM), unscheduled maintenance (UM), and scheduled & unscheduled maintenance (SUM). The SUM policy, that combines both SM and UM, can be used to give a compromise between cost and downtime.Reader Aids- Purpose: Widen state of the art Special math needed for explanations: Probabilityon Rpesualmatussefl to:Mulproesultso dsner Retsyustem alysts.

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Effect of Maintenance on the Dependability and Performance of Mulitprocessor Systems

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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