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Shared Resource Contention Aware Schedulability Analysis for Multiprocessor Real-Time Systems

2023-04-17Conference object Open access
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dc.contributor.authorArora, Jatin
dc.contributor.authorTovar, Eduardo
dc.contributor.authorMaia, Cláudio
dc.date.accessioned2023-05-05T10:55:40Z
dc.date.available2023-05-05T10:55:40Z
dc.date.issued2023-04-17
dc.descriptionThis PhD dissertation has resulted in six publications in which one of the papers received Best Paper Award at ICESS 2021. All the papers were published in reputed venues for real-time systems research, i.e., RTSS 2020, RTNS 2021, ICESS 2021, RTCSA 2022, RTSS 2022, Elsevier’s Journal of System Architecture. Two more papers are expected to be published soon.
dc.description.abstractMulticore platforms share the hardware resources such as caches, interconnects, and main memory among all the cores. Due to such sharing, tasks running on different cores compete to access these shared resources which can potentially result in shared resource contention. This shared resource contention can increase the execution times of tasks in a non-deterministic manner. Consequently, the shared resource contention is problematic for hard real-time systems, i.e., systems that run tasks with stringent timing requirements. To address this issue, this PhD dissertation builds novel solutions to model and analyze the shared resource contention that can be suffered by tasks executing on a multicore system. The shared resource contention aware schedulability analysis is then derived by integrating the maximum shared resource contention that can be suffered by the tasks.pt_PT
dc.description.sponsorshipThis work was supported by the CISTER Research Unit (UIDP/UIDB/04234/2020), financed by National Funds through FCT/MCTES (Portuguese Foundation for Science and Technology); by project ADACORSA (ECSEL/0010/2019 - JU grant nr. 876019) financed through National Funds from FCT and European funds through the EU ECSEL JU. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Austria, Sweden, Spain, Italy, France, Portugal, Ireland, Finland, Slovenia, Poland, Netherlands, Turkey - Disclaimer: This document reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains. This work is also a result of the work developed under project Aero.Next Portugal (nº C645727867-00000066) and FLY-PT (grant nº 46079, POCI-01-0247-FEDER-046079), also funded by FCT under PhD grant 2020.09532.BD.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22759
dc.language.isoengpt_PT
dc.relationUIDP/UIDB/04234/2020
dc.relationAirborne data collection on resilient system architectures
dc.relationAirborne data collection on resilient system architectures
dc.relation46079
dc.relationPOCI-01-0247-FEDER-046079
dc.relation2020.09532.BD.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.titleShared Resource Contention Aware Schedulability Analysis for Multiprocessor Real-Time Systemspt_PT
dc.title.alternative221202pt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleAirborne data collection on resilient system architectures
oaire.awardTitleAirborne data collection on resilient system architectures
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/ECSEL%2F0010%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/876019/EU
oaire.citation.conferencePlace17 to 19, Apr, 2023, PhD Forum. Antwerp, Belgiumpt_PT
oaire.citation.titleDesign, Automation and Test in Europe Conference (DATE 2023)pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStreamH2020
person.familyNameArora
person.familyNameTovar
person.familyNameMaia
person.givenNameJatin
person.givenNameEduardo
person.givenNameCláudio Roberto Ribeiro
person.identifier.ciencia-id8816-61C3-8763
person.identifier.ciencia-id6017-8881-11E8
person.identifier.ciencia-idEC13-23BF-2018
person.identifier.orcid0000-0001-6198-6852
person.identifier.orcid0000-0001-8979-3876
person.identifier.orcid0000-0002-6567-4271
person.identifier.scopus-author-id7006312557
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication382626bf-f6e8-427b-b5fa-e470b5b0fb03
relation.isAuthorOfPublication.latestForDiscovery21bbedd3-1ba1-40a2-9ceb-42bbfd0abbee
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