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Intelligent SSD: A turbo for big data mining

Authors
Bae, Duck-HoKim, Jin-HyungJo, Yong-YeonKim, Sang-WookOh, HyunokPark, Chanik
Issue Date
Jun-2016
Publisher
COMSIS CONSORTIUM
Keywords
Intelligent SSD; big data mining; in-storage processing; active SSD
Citation
COMPUTER SCIENCE AND INFORMATION SYSTEMS, v.13, no.2, pp.375 - 394
Indexed
SCIE
SCOPUS
Journal Title
COMPUTER SCIENCE AND INFORMATION SYSTEMS
Volume
13
Number
2
Start Page
375
End Page
394
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154513
DOI
10.2298/CSIS150820008D
ISSN
1820-0214
Abstract
This 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.
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서울 공과대학 > 서울 정보시스템학과 > 1. Journal Articles
서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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