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Energy Efficient Mapping of Mixed Criticality Applications on Unrelated Heterogeneous Multicore Platforms

dc.contributor.authorAwan, Ali
dc.contributor.authorMasson, Damien
dc.contributor.authorTovar, Eduardo
dc.date.accessioned2017-01-26T12:17:22Z
dc.date.embargo2117
dc.date.issued2016
dc.description11th IEEE International Symposium on Industrial Embedded Systems (SIES 2016). 23 to 25, May, 2016. Krakow, Poland.pt_PT
dc.description.abstractHeterogeneous multicore platforms are becoming an attractive choice to deploy mixed criticality systems demanding diverse computational requirements. One of the major challenges is to efficiently harness the computational power of these multicore platforms while deploying mixed criticality applications with timeliness properties. Energy efficiency is also one of the desired requirements in the design phase, and therefore it is often difficult for the system designer to simultaneously satisfy those sometimes contradictory requirements. In this paper, we propose a novel partitioning algorithm for unrelated heterogeneous multicore platforms to map mixed criticality applications. The algorithm not only ensures the timeliness in different modes of execution but also tries to allocate the applications to their energy-wise favourite cores. We considered a realistic power model that further increases the relevance of the proposed approach. We have performed an extensive set of experiments to evaluate the performance of the proposed approach, and we show that in the best-case, we achieve a 23.8% gain in the average power dissipation over the state-ofthe-art partitioned algorithm. Our proposed algorithm also has a better weighted schedulability when compared to the existing partitioned algorithms.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/SIES.2016.7509413pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/9433
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationEmbedded Multi-Core Systems for Mixed Criticality Applications in Dynamic and Changeable Real-Time Environments
dc.relationGuaranteed Component Assembly with Round Trip Analysis for Energy Efficient High-integrity Multi-core Systems
dc.relation.ispartofseriesSIES;2016
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7509413/pt_PT
dc.subjectMulticore processingpt_PT
dc.subjectEnergy consumptionpt_PT
dc.subjectResource managementpt_PT
dc.subjectProgram processorspt_PT
dc.subjectVirtual machiningpt_PT
dc.subjectPartitioning algorithmspt_PT
dc.subjectBatteriespt_PT
dc.titleEnergy Efficient Mapping of Mixed Criticality Applications on Unrelated Heterogeneous Multicore Platformspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleEmbedded Multi-Core Systems for Mixed Criticality Applications in Dynamic and Changeable Real-Time Environments
oaire.awardTitleGuaranteed Component Assembly with Round Trip Analysis for Energy Efficient High-integrity Multi-core Systems
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/621429/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/333053/EU
oaire.citation.conferencePlace23 to 25, May, 2016. Krakow, Polandpt_PT
oaire.citation.endPage12pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title11th IEEE International Symposium on Industrial Embedded Systemspt_PT
oaire.fundingStreamFP7
oaire.fundingStreamFP7
person.familyNameTovar
person.givenNameEduardo
person.identifier.ciencia-id6017-8881-11E8
person.identifier.orcid0000-0001-8979-3876
person.identifier.scopus-author-id7006312557
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication80b63d8a-2e6d-484e-af3c-55849d0cb65e
relation.isAuthorOfPublication.latestForDiscovery80b63d8a-2e6d-484e-af3c-55849d0cb65e
relation.isProjectOfPublicationc05ca6d0-eb47-46e6-93ae-3218a8c9ee48
relation.isProjectOfPublication17322fe8-c558-4180-88af-8ed0b847498c
relation.isProjectOfPublication.latestForDiscoveryc05ca6d0-eb47-46e6-93ae-3218a8c9ee48

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