Reliability prediction of distributed systems using Monte Carlo method

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dc.contributor.authorGunawan, I.
dc.date.issued2013
dc.description.abstractDistributed systems consist of layers of switching elements connected together in a predefined topology providing the connectivity between the set of processors and the set of memory modules. Reliability prediction is important as it determines the usability and efficiency of the network to provide services. This paper presents reliability analysis of Shuffle-Exchange Network (SEN) systems using Monte Carlo method with stratified sampling. A SEN, a specific type of distributed systems that consists of 2 × 2 switching elements, has been widely considered a practical interconnection system. Confidence interval of the point estimate is then derived using non-parametric bootstrapping.
dc.description.statementofresponsibilityIndra Gunawan
dc.identifier.citationInternational Journal of Reliability and Safety, 2013; 7(3):235-248
dc.identifier.doi10.1504/IJRS.2013.057092
dc.identifier.issn1479-389X
dc.identifier.issn1479-3903
dc.identifier.orcidGunawan, I. [0000-0001-7357-509X]
dc.identifier.urihttp://hdl.handle.net/2440/98367
dc.language.isoen
dc.publisherInderscience Enterprises
dc.rights© 2013 Inderscience Enterprises Ltd.
dc.source.urihttps://doi.org/10.1504/ijrs.2013.057092
dc.subjectdistributed systems; Monte Carlo; reliability; shuffle-exchange network; switching element.
dc.titleReliability prediction of distributed systems using Monte Carlo method
dc.typeJournal article
pubs.publication-statusPublished

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