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Hybrid performance modeling and prediction of large-scale computing systems
dc.contributor.author | Pllana, Sabri |
dc.contributor.author | Benkner, Siegfried |
dc.contributor.author | Xhafa Xhafa, Fatos |
dc.contributor.author | Barolli, Leonard |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2018-05-31T13:35:00Z |
dc.date.available | 2018-05-31T13:35:00Z |
dc.date.issued | 2008 |
dc.identifier.citation | Pllana, 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.isbn | 978-0-7695-3109-0 |
dc.identifier.uri | http://hdl.handle.net/2117/117680 |
dc.description.abstract | Performance 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.extent | 7 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Parallel processing (Electronic computers) |
dc.subject.lcsh | UML (Computer science) |
dc.subject.other | Computational modeling |
dc.subject.other | Unified modeling language |
dc.subject.other | Mathematical model |
dc.subject.other | Predictive models |
dc.subject.other | XML |
dc.subject.other | Synchronization |
dc.subject.other | Computer architecture |
dc.title | Hybrid performance modeling and prediction of large-scale computing systems |
dc.type | Conference report |
dc.subject.lemac | Processament en paral·lel (Ordinadors) |
dc.subject.lemac | UML (Informàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
dc.identifier.doi | 10.1109/CISIS.2008.20 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/4606673 |
dc.rights.access | Open Access |
local.identifier.drac | 2329471 |
dc.description.version | Postprint (published version) |
local.citation.author | Pllana, S.; Benkner, S.; Xhafa, F.; Barolli, L. |
local.citation.contributor | International Conference on Complex, Intelligent and Software Intensive Systems |
local.citation.publicationName | International Conference on Complex, Intelligent and Software Intensive Systems, 2008: CISIS 2008; 4-7 March 2008, Polytechnic University of Catalonia, Barcelona, Spain |
local.citation.startingPage | 132 |
local.citation.endingPage | 138 |