Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Intelligent SSD: A turbo for big data mining

Full metadata record
DC Field Value Language
dc.contributor.authorBae, Duck-Ho-
dc.contributor.authorKim, Jin-Hyung-
dc.contributor.authorJo, Yong-Yeon-
dc.contributor.authorKim, Sang-Wook-
dc.contributor.authorOh, Hyunok-
dc.contributor.authorPark, Chanik-
dc.date.accessioned2022-07-15T16:10:31Z-
dc.date.available2022-07-15T16:10:31Z-
dc.date.issued2016-06-
dc.identifier.issn1820-0214-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154513-
dc.description.abstractThis paper introduces a new notion of the intelligent SSD and presents its potential benefits in terms of data mining applications. With intelligent SSDs, a large volume of data can be directly processed by CPU and DRAM inside intelligent SSDs, and the final result of a very small size needs to be transferred to the host CPU instead of all the data stored in intelligent SSDs. We first discuss design considerations of intelligent SSDs compared with the current SSD architecture. We then analyze the execution costs of data mining applications running on intelligent SSDs by formulating their cost models. Finally, we show the efficiency of performing data mining on intelligent SSDs by comparing it with those of traditional ones through a series of simulations. Through the experimental results, we show that the intelligent SSDs provide significant improvement in performance over the host CPUs in processing data-intensive data mining applications.-
dc.format.extent20-
dc.language영어-
dc.language.isoENG-
dc.publisherComSIS Consortium-
dc.titleIntelligent SSD: A turbo for big data mining-
dc.typeArticle-
dc.publisher.location세르비아공화국-
dc.identifier.doi10.2298/CSIS150820008D-
dc.identifier.scopusid2-s2.0-84977580131-
dc.identifier.wosid000380031500004-
dc.identifier.bibliographicCitationComputer Science and Information Systems, v.13, no.2, pp 375 - 394-
dc.citation.titleComputer Science and Information Systems-
dc.citation.volume13-
dc.citation.number2-
dc.citation.startPage375-
dc.citation.endPage394-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.subject.keywordAuthorIntelligent SSD-
dc.subject.keywordAuthorbig data mining-
dc.subject.keywordAuthorin-storage processing-
dc.subject.keywordAuthoractive SSD-
dc.identifier.urlhttp://www.doiserbia.nb.rs/Article.aspx?ID=1820-02141600008D#.Y7Z2TXZByUk-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 정보시스템학과 > 1. Journal Articles
서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sang-Wook photo

Kim, Sang-Wook
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE