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Static worst-case execution time analysis tool for embedded operating systems

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dc.contributor.authorPark, H.H.-
dc.contributor.authorHong, J.-
dc.contributor.authorYang, S.M.-
dc.date.available2019-04-10T11:16:57Z-
dc.date.created2018-04-17-
dc.date.issued2008-
dc.identifier.isbn3540698388-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/33564-
dc.description.abstractReal-time support of embedded Operating Systems is essential for contemporary embedded systems. In order to achieve supporting real-time property, it is crucial that schedulability analysis for real-time task is finished before implementing the embedded systems. Acquiring Worst-Case Execution Time (WCET) of task is a core part of this schedulability analysis. In this paper, we design and implement WATERk, WCET analysis tool which deliberates on scheduling primitives of system using embedded Linux. WATERk can estimate WCET of both normal application tasks and corresponding primitives which influence the schedulability of embedded systems. Evaluation Results show that WATERk provides more reliable estimation results compared with traditional WCET tools. © 2008 Springer-Verlag Berlin Heidelberg.-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.titleStatic worst-case execution time analysis tool for embedded operating systems-
dc.typeConference-
dc.identifier.doi10.1007/978-3-540-69839-5_58-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationInternational Conference on Computational Science and Its Applications, ICCSA 2008, v.5072 LNCS, no.PART 1, pp.790 - 799-
dc.description.journalClass2-
dc.identifier.scopusid2-s2.0-54249086129-
dc.citation.conferenceDate2008-06-30-
dc.citation.conferencePlacePerugia-
dc.citation.endPage799-
dc.citation.numberPART 1-
dc.citation.startPage790-
dc.citation.titleInternational Conference on Computational Science and Its Applications, ICCSA 2008-
dc.citation.volume5072 LNCS-
dc.contributor.affiliatedAuthorHong, J.-
dc.contributor.affiliatedAuthorYang, S.M.-
dc.type.docTypeConference Paper-
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