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Cited 1 time in webofscience Cited 3 time in scopus
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dc.contributor.authorLee, H-
dc.contributor.authorKim, J-
dc.contributor.authorHong, SJ-
dc.date.accessioned2016-03-31T13:35:30Z-
dc.date.available2016-03-31T13:35:30Z-
dc.date.created2009-02-28-
dc.date.issued1999-12-
dc.identifier.issn0916-8532-
dc.identifier.other2000-OAK-0000001088-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/20168-
dc.description.abstractIn this paper, we show two process allocation schemes to tolerate multiple faults when the primary-backup replication method is used. The first scheme, called multiple back up scheme, is running multiple backup processes for each process to tolerate multiple faults. The second scheme, called regenerative backup scheme, is running only one backup process for each process, but re-generates backup processes for processes that do not have a backup process after a fault occurrence to keep the primary-backup process pair available. In both schemes, we propose heuristic process allocation methods for balancing loads in spite of the occurrence of faults. Then we evaluate and compare the performance of the proposed heuristic process allocation methods using simulation. Next, we analyze the reliability of two schemes based on their fault-tolerance capability. For the analysis of fault-tolerance capability, we find the degree of fault tolerance for each scheme. Then we find the reliability of each scheme using Markov chains. The comparison results of two schemes indicate that the regenerative single backup process allocation scheme is more suitable than the multiple backup allocation scheme.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherIEICE-INST ELECTRONICS INFORMATION CO-
dc.relation.isPartOfIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.titleEvaluation of two load-balancing primary-backup process allocation schemes-
dc.typeArticle-
dc.contributor.college컴퓨터공학과-
dc.author.googleLEE, H-
dc.author.googleKIM, J-
dc.author.googleHONG, SJ-
dc.relation.volumeE82D-
dc.relation.issue12-
dc.relation.startpage1535-
dc.relation.lastpage1544-
dc.contributor.id10157751-
dc.relation.journalIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E82D, no.12, pp.1535 - 1544-
dc.identifier.wosid000084431200004-
dc.date.tcdate2019-01-01-
dc.citation.endPage1544-
dc.citation.number12-
dc.citation.startPage1535-
dc.citation.titleIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.citation.volumeE82D-
dc.contributor.affiliatedAuthorKim, J-
dc.contributor.affiliatedAuthorHong, SJ-
dc.identifier.scopusid2-s2.0-0033333194-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc1-
dc.type.docTypeArticle-
dc.subject.keywordPlusTASK ALLOCATION-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordPlusRELIABILITY-
dc.subject.keywordAuthorprimary-backup replication-
dc.subject.keywordAuthormultiple faults-
dc.subject.keywordAuthorfault-tolerant multi-computer-
dc.subject.keywordAuthorload balancing process allocation-
dc.subject.keywordAuthorreliability analysis-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-

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홍성제HONG, SUNG JE
Div of IT Convergence Enginrg
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