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dc.contributor.authorKosmidis, Leonidas
dc.contributor.authorQuiñones, Eduardo
dc.contributor.authorAbella Ferrer, Jaume
dc.contributor.authorVardanega, Tulio
dc.contributor.authorCazorla Almeida, Francisco Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-11-12T14:59:51Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationKosmidis, L. [et al.]. Achieving timing composability with measurement-based probabilistic timing analysis. A: IEEE Computer Society symposium on object/component/service-oriented realtime distributed computing. "The IEEE International Symposium on Object/component/service-oriented Real-time distributed computing: Paderborn, Germany, June 19 - 21, 2013". Paderborn: 2013, p. 1-8.
dc.identifier.urihttp://hdl.handle.net/2117/24705
dc.description.abstractProbabilistic Timing Analysis (PTA) allows complex hardware acceleration features, which defeat classic timing analysis, to be used in hard real-time systems. PTA can do that because it drastically reduces intrinsic dependence on execution history. This distinctive feature is a great facilitator to time composability, which is a must for industry needing incremental development and qualification. In this paper we show how time composability is achieved in PTA-conformant systems and how the pessimism of worst-case execution time bounds obtained from PTA is contained within a 5% to 25% range for representative application scenarios
dc.format.extent8 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat
dc.subjectÀrees temàtiques de la UPC::Informàtica::Programació
dc.subject.lcshReal-time data processing
dc.subject.lcshProbabilities
dc.subject.otherProbabilistic timing analysis
dc.titleAchieving timing composability with measurement-based probabilistic timing analysis
dc.typeConference report
dc.subject.lemacTemps real (Informàtica)
dc.subject.lemacProbabilitats
dc.identifier.doi10.1109/ISORC.2013.6913193
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://people.ac.upc.edu/equinone/docs/2013/isorc_2013.pdf
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15013514
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorKosmidis, L.; Quiñones, E.; Abella, J.; Vardanega, T.; Cazorla, F.
upcommons.citation.contributorIEEE Computer Society symposium on object/component/service-oriented realtime distributed computing
upcommons.citation.pubplacePaderborn
upcommons.citation.publishedtrue
upcommons.citation.publicationNameThe IEEE International Symposium on Object/component/service-oriented Real-time distributed computing: Paderborn, Germany, June 19 - 21, 2013
upcommons.citation.startingPage1
upcommons.citation.endingPage8


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