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dc.contributor.authorBystrov, Oleg
dc.contributor.authorPacevič, Ruslan
dc.contributor.authorKačeniauskas, Arnas
dc.date.accessioned2023-09-18T16:08:07Z
dc.date.available2023-09-18T16:08:07Z
dc.date.issued2021
dc.identifier.issn2076-3417
dc.identifier.other(SCOPUS_ID)85112684538
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111573
dc.description.abstractThe pervasive use of cloud computing has led to many concerns, such as performance challenges in communication- and computation-intensive services on virtual cloud resources. Most evaluations of the infrastructural overhead are based on standard benchmarks. Therefore, the impact of communication issues and infrastructure services on the performance of parallel MPI-based computations remains unclear. This paper presents the performance analysis of communication- and computation-intensive software based on the discrete element method, which is deployed as a service (SaaS) on the OpenStack cloud. The performance measured on KVM-based virtual machines and Docker containers of the OpenStack cloud is compared with that obtained by using native hardware. The improved mapping of computations to multicore resources reduced the internode MPI communication by 34.4% and increased the parallel efficiency from 0.67 to 0.78, which shows the importance of communication issues. Increasing the number of parallel processes, the overhead of the cloud infrastructure increased to 13.7% and 11.2% of the software execution time on native hardware in the case of the Docker containers and KVM-based virtual machines of the OpenStack cloud, respectively. The observed overhead was mainly caused by OpenStack service processes that increased the load imbalance of parallel MPI-based SaaS.eng
dc.formatPDF
dc.format.extentp. 1-18
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyJ-Gate
dc.relation.isreferencedbyGale's Academic OneFile
dc.source.urihttps://doi.org/10.3390/app11167379
dc.titlePerformance of communication-and computation-intensive Saas on the OpenStack cloud
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access articledistributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. (https://creativecommons.org/licenses/by/4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references52
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
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.enOpenStack cloud
dc.subject.enKVM
dc.subject.enDocker
dc.subject.enMPI
dc.subject.enperformance
dc.subject.endiscrete element method software
dcterms.sourcetitleApplied sciences
dc.description.issueiss. 16
dc.description.volumevol. 11
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi2-s2.0-85112684538
dc.identifier.doi85112684538
dc.identifier.doi1
dc.identifier.doi000688609200001
dc.identifier.doi10.3390/app11167379
dc.identifier.elaba102919268


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