A hybrid performance analysis technique for distributed real-time embedded systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Junchul | - |
dc.contributor.author | Oh, Hyunok | - |
dc.contributor.author | Ha, Soonhoi | - |
dc.date.accessioned | 2022-07-11T15:49:33Z | - |
dc.date.available | 2022-07-11T15:49:33Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2018-07 | - |
dc.identifier.issn | 0922-6443 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/149730 | - |
dc.description.abstract | It remains a challenging problem to tightly estimate the worst-case response time of an application in a distributed embedded system, especially when there are dependencies between tasks. Recently, a holistic worst-case response time analysis approach called scheduling time bound analysis has been proposed to find a tight upper bound of the worst-case response times of applications specified by a set of task graphs. Since it assumes that the starting offsets of applications are known and fixed, it fails to make a tight estimation despite increased computation time when the starting offsets are dynamic. To overcome this problem, we propose a novel conservative performance analysis, called hybrid performance analysis, combining the response time analysis technique and the scheduling time bound analysis technique to compute a tighter bound faster. The proposed scheme is proven to be conservative formally. Through extensive experiments with real-life benchmarks and synthetic examples, the superior performance of our proposed approach compared with previous methods is confirmed. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.title | A hybrid performance analysis technique for distributed real-time embedded systems | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Oh, Hyunok | - |
dc.identifier.doi | 10.1007/s11241-018-9307-x | - |
dc.identifier.scopusid | 2-s2.0-85045242936 | - |
dc.identifier.wosid | 000437005100003 | - |
dc.identifier.bibliographicCitation | REAL-TIME SYSTEMS, v.54, no.3, pp.562 - 604 | - |
dc.relation.isPartOf | REAL-TIME SYSTEMS | - |
dc.citation.title | REAL-TIME SYSTEMS | - |
dc.citation.volume | 54 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 562 | - |
dc.citation.endPage | 604 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Theory & Methods | - |
dc.subject.keywordPlus | SCHEDULABILITY ANALYSIS | - |
dc.subject.keywordAuthor | Worst-case response time | - |
dc.subject.keywordAuthor | Performance analysis | - |
dc.subject.keywordAuthor | Response time analysis | - |
dc.subject.keywordAuthor | Partitioned scheduling | - |
dc.subject.keywordAuthor | Data dependency | - |
dc.subject.keywordAuthor | Task graph | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s11241-018-9307-x | - |
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