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dc.contributor.authorPllana, Sabri
dc.contributor.authorBenkner, Siegfried
dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.authorBarolli, Leonard
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2018-05-31T13:35:00Z
dc.date.available2018-05-31T13:35:00Z
dc.date.issued2008
dc.identifier.citationPllana, S., Benkner, S., Xhafa, F., Barolli, L. Hybrid performance modeling and prediction of large-scale computing systems. A: International Conference on Complex, Intelligent and Software Intensive Systems. "International Conference on Complex, Intelligent and Software Intensive Systems, 2008: CISIS 2008; 4-7 March 2008, Polytechnic University of Catalonia, Barcelona, Spain". Institute of Electrical and Electronics Engineers (IEEE), 2008, p. 132-138.
dc.identifier.isbn978-0-7695-3109-0
dc.identifier.urihttp://hdl.handle.net/2117/117680
dc.description.abstractPerformance is a key feature of large-scale computing systems. However, the achieved performance when a certain program is executed is significantly lower than the maximal theoretical performance of the large-scale computing system. The model-based performance evaluation may be used to support the performance-oriented program development for large-scale computing systems. In this paper we present a hybrid approach for performance modeling and prediction of parallel and distributed computing systems, which combines mathematical modeling and discrete-event simulation. We use mathematical modeling to develop parameterized performance models for components of the system. Thereafter, we use discrete-event simulation to describe the structure of system and the interaction among its components. As a result, we obtain a high-level performance model, which combines the evaluation speed of mathematical models with the structure awareness and fidelity of the simulation model. We evaluate empirically our approach with a real-world material science program that comprises more than 15,000 lines of code
dc.format.extent7 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshParallel processing (Electronic computers)
dc.subject.lcshUML (Computer science)
dc.subject.otherComputational modeling
dc.subject.otherUnified modeling language
dc.subject.otherMathematical model
dc.subject.otherPredictive models
dc.subject.otherXML
dc.subject.otherSynchronization
dc.subject.otherComputer architecture
dc.titleHybrid performance modeling and prediction of large-scale computing systems
dc.typeConference report
dc.subject.lemacProcessament en paral·lel (Ordinadors)
dc.subject.lemacUML (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.identifier.doi10.1109/CISIS.2008.20
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/4606673
dc.rights.accessOpen Access
local.identifier.drac2329471
dc.description.versionPostprint (published version)
local.citation.authorPllana, S.; Benkner, S.; Xhafa, F.; Barolli, L.
local.citation.contributorInternational Conference on Complex, Intelligent and Software Intensive Systems
local.citation.publicationNameInternational Conference on Complex, Intelligent and Software Intensive Systems, 2008: CISIS 2008; 4-7 March 2008, Polytechnic University of Catalonia, Barcelona, Spain
local.citation.startingPage132
local.citation.endingPage138


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