Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2229
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dc.contributor.authorOehlert, Dominic Paul-
dc.contributor.authorLuppold, Arno-
dc.contributor.authorFalk, Heiko-
dc.date.accessioned2019-04-29T09:39:31Z-
dc.date.available2019-04-29T09:39:31Z-
dc.date.issued2019-05-
dc.identifier.citationProceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems (SCOPES ’19), May 27–28, 2019, Sankt Goar, Germany. ACM, New York, NY, ISBN 978-1-4503-6762-2de_DE
dc.identifier.urihttp://hdl.handle.net/11420/2548-
dc.description.abstractThe hyperperiod defines the time span after which the temporal behavior of a periodical real-time system repeats. It is the key property which determines the complexity of both analysis and exhaustive simulation of a given system. Unfortunately, the hyperperiod may easily become very large. We introduce an ILP-based approach to modify the periods in a task set according to user constraints to retrieve an optimal solution for a drastically reduced hyperperiod.en
dc.description.sponsorshipDeutsche Forschungsgemeinschaftde_DE
dc.language.isoende_DE
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/779882-
dc.rightsinfo:eu-repo/semantics/openAccessde_DE
dc.subjecthyperperiodde_DE
dc.subjectreal-timede_DE
dc.subjectinteger linear programmingde_DE
dc.subject.ddc600: Technikde_DE
dc.subject.ddc620: Ingenieurwissenschaftende_DE
dc.titleFavorable adjustment of periods for reduced hyperperiods in real-time systemsde_DE
dc.typeWorking Paperde_DE
dc.identifier.urnurn:nbn:de:gbv:830-882.033367-
dc.identifier.doi10.15480/882.2229-
dc.type.diniworkingPaper-
dc.subject.ddccode620-
dc.subject.ddccode600-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.033367-
tuhh.oai.showtruede_DE
tuhh.abstract.englishThe hyperperiod defines the time span after which the temporal behavior of a periodical real-time system repeats. It is the key property which determines the complexity of both analysis and exhaustive simulation of a given system. Unfortunately, the hyperperiod may easily become very large. We introduce an ILP-based approach to modify the periods in a task set according to user constraints to retrieve an optimal solution for a drastically reduced hyperperiod.de_DE
tuhh.publisher.doi10.1145/3323439.3323975-
tuhh.publication.instituteEingebettete Systeme E-13de_DE
tuhh.identifier.doi10.15480/882.2229-
tuhh.type.opusResearchPaper-
tuhh.institute.germanEingebettete Systeme E-13de
tuhh.institute.englishEingebettete Systeme E-13de_DE
tuhh.gvk.hasppnfalse-
tuhh.hasurnfalse-
openaire.rightsinfo:eu-repo/semantics/openAccessde_DE
openaire.funder.nameECde_DE
openaire.funder.programmeH2020de_DE
openaire.funder.projectid779882de_DE
dc.type.driverworkingPaper-
dc.type.casraiWorking Paper-
dc.relation.conference22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES ’19)de_DE
dc.relation.projectMulti-Opt - Multikriterielle Code-Optimierung für Eingebettete Harte Echtzeitsystemede_DE
dc.relation.projectTime, Energy and security Analysis for Multi/Manycore heterogenous PLAtforms - TeamPlayde_DE
dc.rights.nationallicensefalsede_DE
local.status.inpressfalsede_DE
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.creatorGNDOehlert, Dominic Paul-
item.creatorGNDLuppold, Arno-
item.creatorGNDFalk, Heiko-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_8042-
item.creatorOrcidOehlert, Dominic Paul-
item.creatorOrcidLuppold, Arno-
item.creatorOrcidFalk, Heiko-
item.openairetypeWorking Paper-
item.grantfulltextopen-
crisitem.author.deptEingebettete Systeme E-13-
crisitem.author.deptEingebettete Systeme E-13-
crisitem.author.orcid0000-0001-5974-757X-
crisitem.author.orcid0000-0001-8714-0273-
crisitem.author.orcid0000-0003-1196-0122-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
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