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dc.contributor.authorLee, Scott Uk-Jin-
dc.date.accessioned2019-04-30T05:49:06Z-
dc.date.available2019-04-30T05:49:06Z-
dc.date.issued2017-01-
dc.identifier.citation2017년 한국컴퓨터정보학회 동계학술대회 논문집, v. 25, No. 1, Page. 75-78en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE07101016-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/103095-
dc.description.abstractThis paper compares operational and network analysis of centralized and distributed repository for big data solutions in the IoT enabled Smart Grid environment. The comparative analysis clearly depicts that centralize repository consumes less memory consumption while distributed locality-based repository reduce network complexity issues than centralize repository in state-of-the-art Big Data Solution.en_US
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korean government (MSIP) (No. NRF-2016R1C1B2008624)en_US
dc.language.isoen_USen_US
dc.publisher한국컴퓨터정보학회en_US
dc.subjectBig Dataen_US
dc.subjectIoTen_US
dc.subjectSmart Griden_US
dc.titleComparative Analysis of Centralized Vs. Distributed Locality-based Repository over IoT-Enabled Big Data in Smart Grid Environmenten_US
dc.typeArticleen_US
dc.relation.no1-
dc.relation.volume25-
dc.relation.page75-78-
dc.contributor.googleauthorSiddiqui, Isma Farah-
dc.contributor.googleauthorAbbas, Asad-
dc.contributor.googleauthorLee, Scott Uk-Jin-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidscottlee-
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COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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