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dc.contributor.authorWartel, Franck
dc.contributor.authorKosmidis, Leonidas
dc.contributor.authorLo, Code
dc.contributor.authorTriquet, Benoit
dc.contributor.authorQuiñones, Eduardo
dc.contributor.authorAbella Ferrer, Jaume
dc.contributor.authorGogonel, Adriana
dc.contributor.authorBaldovin, Andrea
dc.contributor.authorMezzetti, Enrico
dc.contributor.authorCucu Grosjean, Liliana
dc.contributor.authorVardanega, Tulio
dc.contributor.authorCazorla Almeida, Francisco Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-03-31T13:51:23Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationWartel, F. [et al.]. Measurement-based probabilistic timing analysis: Lessons from an integrated-modular avionics case study. A: IEEE International Symposium on Industrial Embedded Systems. "Proceedings of the 8th IEEE International Symposium on Industrial Embedded Systems: SIES 2013: Porto, Portugal, June 19-21, 2013". Porto: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 241-248.
dc.identifier.isbn978-147990658-1
dc.identifier.urihttp://hdl.handle.net/2117/22453
dc.description.abstractProbabilistic Timing Analysis (PTA) in general and its measurement-based variant called MBPTA in particular can mitigate some of the problems that impair current worst-case execution time (WCET) analysis techniques. MBPTA computes tight WCET bounds expressed as probabilistic exceedance functions, without needing much information on the hardware and software internals of the system. Classic WCET analysis has information needs that may be costly and difficult to satisfy, and their omission increases pessimism. Previous work has shown that MBPTA does well with benchmark programs. Real-world applications however place more demanding requirements on timing analysis than simple benchmarks. It is interesting to see how PTA responds to them. This paper discusses the application of MBPTA to a real avionics system and presents lessons learned in that process. © 2013 IEEE.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
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::Aeronàutica i espai::Aviònica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshComputer architecture
dc.subject.lcshAeronautics
dc.subject.otherAerospace electronics
dc.subject.otherComputer architecture
dc.subject.otherHardware
dc.subject.otherProbabilistic logic
dc.subject.otherProgram processors
dc.subject.otherTiming
dc.titleMeasurement-based probabilistic timing analysis: Lessons from an integrated-modular avionics case study
dc.typeConference report
dc.subject.lemacArquitectura d'ordinadors
dc.subject.lemacNavegació aèria
dc.identifier.doi10.1109/SIES.2013.6601497
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6601497
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12881428
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
local.citation.authorWartel, F.; Kosmidis, L.; Lo, C.; Triquet, B.; Quiñones, E.; Abella, J.; Gogonel, A.; Baldovin, A.; Mezzetti, E.; Cucu, L.; Vardanega, T.; Cazorla, F.
local.citation.contributorIEEE International Symposium on Industrial Embedded Systems
local.citation.pubplacePorto
local.citation.publicationNameProceedings of the 8th IEEE International Symposium on Industrial Embedded Systems: SIES 2013: Porto, Portugal, June 19-21, 2013
local.citation.startingPage241
local.citation.endingPage248


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