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dc.contributor.authorCucu Grosjean, Liliana
dc.contributor.authorSantinelli, Luca
dc.contributor.authorHouston, Michael
dc.contributor.authorLo, Code
dc.contributor.authorVardanega, Tulio
dc.contributor.authorKosmidis, Leonidas
dc.contributor.authorAbella Ferrer, Jaume
dc.contributor.authorMezzetti, Enrico
dc.contributor.authorQuiñones, Eduardo
dc.contributor.authorCazorla Almeida, Francisco Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-07-28T07:42:53Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationCucu, L. [et al.]. Measurement-based probabilistic timing analysis for multi-path programs. A: Euromicro Conference on Real-Time Systems. "Euromicro Conference on Real-Time Systems: Pisa, Itàlia, July 11 - 13, 2012". Pisa: 2012, p. 91-101.
dc.identifier.urihttp://hdl.handle.net/2117/23634
dc.description.abstractThe rigorous application of static timing analysis requires a large and costly amount of detail knowledge on the hardware and software components of the system. Probabilistic Timing Analysis has potential for reducing the weight of that demand. In this paper, we present a sound measurement-based probabilistic timing analysis technique based on Extreme Value Theory. In all the experiments made as part of this work, the timing bounds determined by our technique were less than 15% pessimistic in comparison with the tightest possible bounds obtainable with any probabilistic timing analysis technique. As a point of interest to industrial users, our technique also requires a comparatively low number of measurement runs of the program under analysis, less than 650 runs were needed for the benchmarks presented in this paper.
dc.format.extent11 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::Informàtica::Hardware
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshReal-time programming
dc.subject.lcshFault-tolerant computing
dc.subject.otherTiming analysis
dc.subject.otherProbabilistic real-time systems
dc.titleMeasurement-based probabilistic timing analysis for multi-path programs
dc.typeConference report
dc.subject.lemacProgramació en temps real
dc.subject.lemacTolerància als errors (Informàtica)
dc.identifier.doi10.1109/ECRTS.2012.31
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6257562
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15013491
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/249100/EU/Probabilistically Analysable Real-Time Systems/PROARTIS
dc.date.lift10000-01-01
upcommons.citation.authorCucu, L.; Santinelli, L.; Houston, M.; Lo, C.; Vardanega, T.; Kosmidis, L.; Abella, J.; Mezzetti, E.; Quiñones, E.; Cazorla, F.
upcommons.citation.contributorEuromicro Conference on Real-Time Systems
upcommons.citation.pubplacePisa
upcommons.citation.publishedtrue
upcommons.citation.publicationNameEuromicro Conference on Real-Time Systems: Pisa, Itàlia, July 11 - 13, 2012
upcommons.citation.startingPage91
upcommons.citation.endingPage101


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain