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dc.contributor.authorTsouloupas, Georgeen
dc.contributor.authorDikaiakos, Marios D.en
dc.creatorTsouloupas, Georgeen
dc.creatorDikaiakos, Marios D.en
dc.date.accessioned2019-11-13T10:42:35Z
dc.date.available2019-11-13T10:42:35Z
dc.date.issued2006
dc.identifier.isbn0-7695-2734-5
dc.identifier.isbn978-0-7695-2734-5
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/55115
dc.description.abstractAn important factor that needs to be taken into account by end-users and systems (schedulers, resource brokers, policy brokers) when mapping applications to the Grid is the performance capacity of hardware resources attached to the Grid and made available through its Virtual Organizations. In this article, we examine the problem of characterizing the performance capacity of Grid resources using benchmarking. We examine the conditions under which such characterization experiments can be implemented in a Grid setting and present the challenges that arise in the Grid context. We specify a small number of performance metrics and propose a suite of microbenchmarks to estimate these metrics for sites that belong to large Virtual Organizations. We describe benchmarking experiments conducted with, and published through GridBench, a tool that we built to manage benchmarking experiments over the Grid and to publish and analyze performance metrics. Finally we show how results derived from GridBench can help end-users assess the performance capacity of resources belonging to a large Virtual Organization. © 2006 IEEE.en
dc.sourcee-Science 2006 - Second IEEE International Conference on e-Science and Grid Computingen
dc.sourcee-Science 2006 - 2nd IEEE International Conference on e-Science and Grid Computingen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-38449084435&doi=10.1109%2fE-SCIENCE.2006.261154&partnerID=40&md5=1ffc38f74ec0d8696bca03029fab2cee
dc.subjectComputational methodsen
dc.subjectSchedulingen
dc.subjectBenchmarkingen
dc.subjectVirtual realityen
dc.subjectInformation managementen
dc.subjectGrid computingen
dc.subjectComputational grid resourcesen
dc.subjectResource brokersen
dc.titleCharacterization of computational grid resources using low-level benchmarksen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/E-SCIENCE.2006.261154
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: University of Amsterdam, Netherlandsen
dc.description.notesIEEE Computer Societyen
dc.description.notesConference code: 71263en
dc.description.notesCited By :13</p>en
dc.contributor.orcidDikaiakos, Marios D. [0000-0002-4350-6058]
dc.gnosis.orcid0000-0002-4350-6058


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