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dc.contributor.authorArı, İsmail
dc.contributor.authorMuhtaroğlu, Nitel
dc.date.accessioned2014-07-04T12:07:08Z
dc.date.available2014-07-04T12:07:08Z
dc.date.issued2013-06
dc.identifier.issn0965-9978
dc.identifier.urihttp://hdl.handle.net/10679/438
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S096599781200141X
dc.description.abstractThis paper presents an end-to-end discussion on the technical issues related to the design and implementation of a new cloud computing service for finite element analysis (FEA). The focus is specifically on performance characterization of linear and nonlinear mechanical structural analysis workloads over multi-core and multi-node computing resources. We first analyze and observe that accurate job characterization, tuning of multi-threading parameters and effective multi-core/node scheduling are critical for service performance. We design a “smart” scheduler that can dynamically select some of the required parameters, partition the load and schedule it in a resource-aware manner. We can achieve up to 7.53× performance improvement over an aggressive scheduler using mixed FEA loads. We also discuss critical issues related to the data privacy, security, accounting, and portability of the cloud service.en_US
dc.description.sponsorshipEuropean Commission ; IBM Shared University Research (SUR) program ; TÜBİTAK ; IBM PhD Fellowship award
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relationinfo:eurepo/grantAgreement/EC/FP7/BI4MASSESen_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/109E194en_US
dc.relation.ispartofAdvances in Engineering Software
dc.rightsopenAccess
dc.titleDesign and implementation of a cloud computing service for finite element analysisen_US
dc.typeArticleen_US
dc.description.versionpost-print
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-6159-0484 & YÖK ID 43541) Arı, İsmail
dc.contributor.ozuauthorArı, İsmail
dc.identifier.volume60-61
dc.identifier.startpage122
dc.identifier.endpage135
dc.identifier.wosWOS:000320744000015
dc.identifier.doi10.1016/j.advengsoft.2012.10.003
dc.subject.keywordsCloud computingen_US
dc.subject.keywordsFinite element analysisen_US
dc.subject.keywordsStructural mechanicsen_US
dc.subject.keywordsTask schedulingen_US
dc.subject.keywordsMulti-coreen_US
dc.subject.keywordsSPOOLESen_US
dc.identifier.scopusSCOPUS:2-s2.0-84878376095
dc.contributor.ozugradstudentMuhtaroğlu, Nitel
dc.contributor.authorMale2


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