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On the trade-off between performance and storage efficiency of replication-based object storage

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dc.contributor.authorJo, Hanbeom-
dc.contributor.authorKim, Youngjin-
dc.contributor.authorLee, Hochul-
dc.contributor.authorLee, Young Choon-
dc.contributor.authorHan, Hyuck-
dc.contributor.authorKang, Sooyong-
dc.date.accessioned2022-07-08T23:43:39Z-
dc.date.available2022-07-08T23:43:39Z-
dc.date.created2021-05-11-
dc.date.issued2019-12-
dc.identifier.issn2330-2194-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/146721-
dc.description.abstractThe object storage systems are used to store and manage unstructured data. Most object storage systems provide the replication policy (REP) or erasure code policy (EC) to ensure the reliability and availability of data. In this paper, we study the trade-off between performance and storage efficiency of these policies with respect to different data sizes of user requests. To this end, we present a hybrid policy management system that takes advantage of both policies by automatically changing policy based on data size. We have implemented the hybrid system in OpenStack Swift. Our evaluation results show the throughput of GET request increases up to 36% while improving storage efficiency by up to 53% compared to that using the REP policy.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE Computer Society-
dc.titleOn the trade-off between performance and storage efficiency of replication-based object storage-
dc.typeArticle-
dc.contributor.affiliatedAuthorKang, Sooyong-
dc.identifier.doi10.1109/CloudCom.2019.00051-
dc.identifier.scopusid2-s2.0-85079037399-
dc.identifier.wosid000552335500038-
dc.identifier.bibliographicCitationProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, v.2019-December, pp.301 - 304-
dc.relation.isPartOfProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom-
dc.citation.titleProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom-
dc.citation.volume2019-December-
dc.citation.startPage301-
dc.citation.endPage304-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordPlusBlockchain-
dc.subject.keywordPlusDigital storage-
dc.subject.keywordPlusEconomic and social effects-
dc.subject.keywordPlusEfficiency-
dc.subject.keywordPlusHybrid systems-
dc.subject.keywordPlusPlatform as a Service (PaaS)-
dc.subject.keywordPlusErasure coding-
dc.subject.keywordPlusHybrid storages-
dc.subject.keywordPlusObject storages-
dc.subject.keywordPlusOpenStack swift-
dc.subject.keywordPlusReplication-
dc.subject.keywordPlusInformation management-
dc.subject.keywordAuthorErasure coding-
dc.subject.keywordAuthorHybrid storage policy-
dc.subject.keywordAuthorObject storage-
dc.subject.keywordAuthorOpenStack swift-
dc.subject.keywordAuthorReplication-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8968852-
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