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dc.contributor.authorAnton, Victor
dc.contributor.authorRamon-Cortes, Cristian
dc.contributor.authorEjarque, Jorge
dc.contributor.authorBadia, Rosa M.
dc.contributor.otherBarcelona Supercomputing Center
dc.identifier.citationAnton, V. [et al.]. Transparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar. A: "2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 463-467.
dc.description.abstractThis paper presents a framework to easily build and execute parallel applications in container-based distributed computing platforms in a user transparent way. The proposed framework is a combination of the COMP Superscalar and Docker. We have built a prototype in order to evaluate how it performs by evaluating the overhead in the building, deployment and execution phases. We have observed an important gain compared with cloud environments during the building and deployment phases. In contrast, we have detected an extra overhead during the execution, which is mainly due to the multi-host Docker networking.
dc.description.sponsorshipThis work is partly supported by the Spanish Government through contracts SEV-2015-0493, TIN2015-65316-P, by the Generalitat de Catalunya under contracts 2014-SGR-1051 and 2014-SGR-1272, and by the European Union under grants 676556 (MuG Project) and 690116 (EUBra-BIGSEA Project). Results presented in this paper were obtained using the Chameleon testbed supported by the NSF.
dc.format.extent5 p.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria elèctrica
dc.subject.lcshLinux programming series
dc.subject.lcshParallel programming (Computer science)
dc.subject.otherCloud Computing
dc.subject.otherLinux Containers
dc.subject.otherDistributed Systems
dc.subject.otherParallel Programming Models
dc.titleTransparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar
dc.typeConference lecture
dc.subject.lemacLinux device drivers (Programes d'ordinador)
dc.subject.lemacProcessament en paral·lel (Ordinadors)
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/676556/EU/Multi-Scale Complex Genomics/MuG
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/690116/EU/EUrope-BRAzil Collaboration on BIG Data Scientific REsearch through Cloud-Centric Applications/EUBra-BIGSEA
upcommons.citation.publicationName2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
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