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Response time analysis of multiframe mixed-criticality systems

dc.contributor.authorHussain, Ishfaq
dc.contributor.authorAli Awan, Muhammad
dc.contributor.authorSouto, Pedro
dc.contributor.authorBletsas, Konstantinos
dc.contributor.authorÅkesson, Benny
dc.contributor.authorTovar, Eduardo
dc.date.accessioned2020-01-17T15:34:34Z
dc.date.embargo2120
dc.date.issued2019
dc.descriptionOutstanding paper awardpt_PT
dc.descriptionRTNS '19: Proceedings of the 27th International Conference on Real-Time Networks and Systems - November 2019pt_PT
dc.description.abstractThe well-known model of Vestal aims to avoid excessive pessimism in the quantification of the processing requirements of mixedcriticality systems, while still guaranteeing the timeliness of highercriticality functions. This can bring important savings in system costs, and indirectly help meet size, weight and power constraints. This efficiency is promoted via the use of multiple worst-case execution time (WCET) estimates for the same task, with each such estimate characterised by a confidence associated with a different criticality level. However, even this approach can be very pessimistic when the WCET of successive instances of the same task can vary greatly according to a known pattern, as in MP3 and MPEG codecs or the processing of ADVB video streams. In this paper, we present a schedulability analysis for the multiframe mixed-criticality model, which allows tasks to have multiple, periodically repeating, WCETs in the same mode of operation. Our work extends both the analysis techniques for Static Mixed-Cricality scheduling (SMC) and Adaptive Mixed-Criticality scheduling (AMC), on one hand, and the schedulability analysis for multiframe task systems on the other. Our proposed worst-case response time (WCRT) analysis for multiframe mixed-criticality systems is considerably less pessimistic than applying the SMC, AMC-rtb and AMC-max tests obliviously to the WCET variation patterns. Experimental evaluation with synthetic task sets demonstrates up to 63.8% higher scheduling success ratio (in absolute terms) compared to the best of the frame-oblivious testspt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1145/3356401.3356405pt_PT
dc.identifier.isbn978-1-4503-7223-7
dc.identifier.urihttp://hdl.handle.net/10400.22/15314
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAssociation for Computing Machinerypt_PT
dc.relation.publisherversionhttps://dl.acm.org/doi/10.1145/3356401.3356405pt_PT
dc.titleResponse time analysis of multiframe mixed-criticality systemspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceToulouse, Francept_PT
oaire.citation.endPage18pt_PT
oaire.citation.startPage8pt_PT
oaire.citation.titleProceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS 2019)pt_PT
person.familyNameBletsas
person.familyNameTovar
person.givenNameKonstantinos
person.givenNameEduardo
person.identifier.ciencia-idC614-0255-0E07
person.identifier.ciencia-id6017-8881-11E8
person.identifier.orcid0000-0002-3640-0239
person.identifier.orcid0000-0001-8979-3876
person.identifier.scopus-author-id6507950422
person.identifier.scopus-author-id7006312557
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicatione1e06d77-a9b1-4e27-8a98-bba7b3b7626c
relation.isAuthorOfPublication80b63d8a-2e6d-484e-af3c-55849d0cb65e
relation.isAuthorOfPublication.latestForDiscoverye1e06d77-a9b1-4e27-8a98-bba7b3b7626c

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