Rodyti trumpą aprašą

dc.contributor.authorBystrov, Oleg
dc.contributor.authorKačeniauskas, Arnas
dc.contributor.authorPacevič, Ruslan
dc.date.accessioned2023-09-18T16:41:31Z
dc.date.available2023-09-18T16:41:31Z
dc.date.issued2023
dc.identifier.issn0302-9743
dc.identifier.other(crossref_id)147354444
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116042
dc.description.abstractThe paper presents the cost and performance analysis of parallel MPI-based software as a service (SaaS) deployed on the OpenStack cloud infrastructure. The parallel SaaS was developed by using C++ programming language and MPI library for the scientific discrete element method (DEM) computations of granular flows. The performance measured on KVM-based virtual machines was slightly higher than that on Docker containers of the OpenStack cloud. Round up and proportional pricing schemes were examined and compared from the user’s perspective. The difference in cost computed by using alternative pricing schemes varied from 0.6% to 15.4%. However, this difference can be reduced to 1.0%, increasing execution time of considered tasks. The investigation of a trade-off between the execution time and cost was performed by using Pareto front analysis and a linear scalarization method. Bi-objective decision making revealed the preferable configurations of virtual machines specific to memory bound DEM computations, exploiting higher bandwidth.eng
dc.formatPDF
dc.format.extentp. 171-182
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.ispartofseriesLecture Notes in Computer Science 13826 0302-9743 1611-3349
dc.relation.isreferencedbyScopus
dc.titleCost and performance analysis of MPI-based SaaS on the private cloud infrastructure
dc.typeStraipsnis konferencijos darbų leidinyje Scopus DB / Paper in conference publication in Scopus DB
dcterms.references44
dc.type.pubtypeP1b - Straipsnis konferencijos darbų leidinyje Scopus DB / Article in conference proceedings Scopus DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.studydirectionB04 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0101 - Informacijos ir informacinių technologijų sauga / Information and Information Technologies Security
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.encost and performance trade-off
dc.subject.enPareto front
dc.subject.enMPI
dc.subject.enOpenStack
dcterms.sourcetitleParallel processing and applied mathematics: 14th International Conference, PPAM 2022, Gdansk, Poland, September 11–14, 2022, Revised Selected Papers, Part I
dc.publisher.nameSpringer
dc.publisher.cityCham
dc.identifier.doi147354444
dc.identifier.doi10.1007/978-3-031-30442-2
dc.identifier.elaba168908511


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