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dc.contributor.authorMuhtaroğlu, Nitel
dc.contributor.authorArı, İsmail
dc.date.accessioned2016-02-11T06:46:14Z
dc.date.available2016-02-11T06:46:14Z
dc.date.issued2011-01
dc.identifier.issn1759-3433
dc.identifier.urihttp://hdl.handle.net/10679/1966
dc.identifier.urihttp://www.ctresources.info/ccp/paper.html?id=6335
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractIn this paper, we describe the challenges faced and lessons learned while establishing a large-scale high performance cloud computing service that enables online mechanical structural analysis and many other scientific applications using the finite element analysis (FEA) technique. The service is intended to process many independent and loosely-dependent (e.g. assembled system) tasks concurrently. Challenges faced include accurate job characterization, handling of many-task mixed jobs, sensitivity of task execution to multi-threading parameters, effective multi-core scheduling in a single node, and achieving seamless scale across multiple nodes. We find that significant performance gains in terms of both job completion latency and throughput are possible via dynamic or "smart" partitioning and resource-aware scheduling compared to shortest first and aggressive job scheduling techniques. We also discuss issues related to secure and private processing of sensitive models in the cloud.
dc.language.isoengen_US
dc.publisherCivil-comp
dc.relation.ispartofProceedings Of The Second International Conference On Parallel, Distributed, Grid And Cloud Computing For Engineering
dc.rightsrestrictedAccess
dc.titleSmart job scheduling for high-performance cloud computing servicesen_US
dc.typeConference paperen_US
dc.peerreviewedyes
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.startpage87
dc.identifier.endpage87
dc.identifier.wosWOS:000392418100087
dc.subject.keywordsCloud computing
dc.subject.keywordsFinite element analysis
dc.subject.keywordsPaas
dc.subject.keywordsStructural mechanics
dc.subject.keywordsCalculix
dc.subject.keywordsTask scheduling
dc.subject.keywordsMulti-core
dc.subject.keywordsParallel
dc.subject.keywordsMPI
dc.identifier.scopusSCOPUS:2-s2.0-84894126736
dc.contributor.ozugradstudentMuhtaroğlu, Nitel
dc.contributor.authorMale2
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and PhD Student


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