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DIVE-C: Distributed-parallel Virtual Environment on Cloud computing platform

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dc.contributor.authorJung, I.-Y.-
dc.contributor.authorHan, B.-J.-
dc.contributor.authorLee, H.-
dc.contributor.authorJeong, C.-S.-
dc.date.accessioned2021-09-06T09:42:04Z-
dc.date.available2021-09-06T09:42:04Z-
dc.date.created2021-06-17-
dc.date.issued2013-
dc.identifier.issn1975-0080-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/105868-
dc.description.abstractIn social media services and social network services, it is necessary to collect, analyze and process their big data with low maintenance cost. Therefore, distributed-parallel data processing on cloud platform is getting spotlight as useful solution for them. In this paper, we present a new architecture of DIVE-C: DIstributed-parallel Virtual Environment on Cloud computing platform for distributed parallel data processing applications which offers a transparent virtual computing environment in order to provide a way easy to launch user's distributed parallel applications. It hides the complexity of the cloud, and helps users to focus on their new applications and core services. DIVE-C uses agent-based resource management scheme to configure VM resources and application deployment for offering various distributed-parallel application models. VM resources are automatically provided by unified cloud management layer. Furthermore, an easy-to-use web interface of DIVE-C offers convenience to users. We implemented a prototype of DIVE-C, and its experiment results show the competitive performance of DIVE-C for dynamic resource and virtual computing environment provisioning for various data processing models. © 2013 SERSC.-
dc.languageEnglish-
dc.language.isoen-
dc.subjectCloud computing platforms-
dc.subjectCloud platforms-
dc.subjectDistributed-parallel computing-
dc.subjectPaaS-
dc.subjectParallel data processing-
dc.subjectResource management schemes-
dc.subjectSocial network services-
dc.subjectVirtual computing environment-
dc.subjectCloud computing-
dc.subjectData processing-
dc.subjectParallel architectures-
dc.subjectVirtual reality-
dc.subjectComputer systems-
dc.titleDIVE-C: Distributed-parallel Virtual Environment on Cloud computing platform-
dc.typeArticle-
dc.contributor.affiliatedAuthorJeong, C.-S.-
dc.identifier.doi10.14257/ijmue.2013.8.5.03-
dc.identifier.scopusid2-s2.0-84884928283-
dc.identifier.bibliographicCitationInternational Journal of Multimedia and Ubiquitous Engineering, v.8, no.5, pp.19 - 29-
dc.relation.isPartOfInternational Journal of Multimedia and Ubiquitous Engineering-
dc.citation.titleInternational Journal of Multimedia and Ubiquitous Engineering-
dc.citation.volume8-
dc.citation.number5-
dc.citation.startPage19-
dc.citation.endPage29-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusCloud computing platforms-
dc.subject.keywordPlusCloud platforms-
dc.subject.keywordPlusDistributed-parallel computing-
dc.subject.keywordPlusPaaS-
dc.subject.keywordPlusParallel data processing-
dc.subject.keywordPlusResource management schemes-
dc.subject.keywordPlusSocial network services-
dc.subject.keywordPlusVirtual computing environment-
dc.subject.keywordPlusCloud computing-
dc.subject.keywordPlusData processing-
dc.subject.keywordPlusParallel architectures-
dc.subject.keywordPlusVirtual reality-
dc.subject.keywordPlusComputer systems-
dc.subject.keywordAuthorCloud computing-
dc.subject.keywordAuthorCloud platform-
dc.subject.keywordAuthorDistributed-parallel computing-
dc.subject.keywordAuthorPaaS-
dc.subject.keywordAuthorVirtual computing environment-
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