Effect of Maintenance on the Dependability and Performance of Mulitprocessor Systems

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

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)208-215
Number of pages8
JournalIEEE Transactions on Reliability
VolumeR-36
Issue number2
DOIs
StatePublished - 1987

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Statistical Models

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture
  • Software

Cite this

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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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Effect of Maintenance on the Dependability and Performance of Mulitprocessor Systems. / Das, Chitaranjan; Bhuyan, Laxmi N.; Sarma, V. V S.

In: IEEE Transactions on Reliability, Vol. R-36, No. 2, 1987, p. 208-215.

Research output: Contribution to journalArticle

TY - JOUR

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AU - Das, Chitaranjan

AU - Bhuyan, Laxmi N.

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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.

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