Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 차재혁 | - |
dc.date.accessioned | 2016-11-18T05:03:04Z | - |
dc.date.available | 2016-11-18T05:03:04Z | - |
dc.date.issued | 2015-05 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, Page. 1-12 | en_US |
dc.identifier.issn | 1074-5351 | - |
dc.identifier.issn | 1099-1131 | - |
dc.identifier.uri | http://onlinelibrary.wiley.com/doi/10.1002/dac.2995/abstract;jsessionid=0B0824F4F55B92B99015805131C5B6D9.f04t02 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/24469 | - |
dc.description.abstract | Solid-state drives (SSDs) provide higher bandwidth and lower access latency than hard disk drives (HDDs) and thus have been rapidly replacing HDDs. SSD manufacturers, which produce different types of SSDs, do not open their SSD architecture and control firmware in detail. To find the best SSD for a given application, it is necessary to compare and analyze the performances of different kinds of SSDs. A benchmark is widely used to analyze the storage devices performance. However, most existing benchmarks are mainly targeted for HDDs. The uFLIP (understanding Flash IO Patterns) is a benchmark proposed to consider flash devices' characteristics. In this paper, we first exploit the uFLIP benchmark to analyze and to evaluate the performances of different types of SSDs. Through extensive experiments, we have identified common SSD characteristics: (1) the input/output (IO) size and queue depth affect the parallelism that is an inherent characteristic in SSDs; (2) the size of SSDs access space considerably affects the SSDs performance. Then, via a series of experiments, we verify whether the uFLIP benchmark could correctly characterize applications by its micro-benchmarks. The results reveal that the performance of the uFLIP micro-benchmarks, produced to have features similar to that of a target application, is quite different from the performance of the target application. Copyright (c) 2015John Wiley & Sons, Ltd. | en_US |
dc.description.sponsorship | This work was supported by (1) the research project between Hanyang University and SK Hynix Co. Inc., (2) the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2014-H0301-14-1022) supervised by the NIPA (National IT Industry Promotion Agency), and (3) the ICT R&D program of MSIP/IITP (14-824-09-001, Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis) | en_US |
dc.language.iso | en | en_US |
dc.publisher | WILEY-BLACKWELL | en_US |
dc.subject | benchmark | en_US |
dc.subject | flash device | en_US |
dc.subject | SSD | en_US |
dc.subject | uFLIP | en_US |
dc.subject | micro-benchmark | en_US |
dc.title | The uFLIP benchmark revisited for evaluating SSDs | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1002/dac.2995 | - |
dc.relation.page | 1-12 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS | - |
dc.contributor.googleauthor | Kang, Yoonsuk | - |
dc.contributor.googleauthor | Jo, Yong-Yeon | - |
dc.contributor.googleauthor | Cha, Jaehhyuk | - |
dc.contributor.googleauthor | Kim, Sang-Wook | - |
dc.contributor.googleauthor | Shin, Young Kyun | - |
dc.relation.code | 2015008195 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | chajh | - |
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