Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 강경태 | - |
dc.date.accessioned | 2019-03-28T07:38:22Z | - |
dc.date.available | 2019-03-28T07:38:22Z | - |
dc.date.issued | 2015-07 | - |
dc.identifier.citation | 2015 IEEE 39th Annual Computer Software and Applications Conference, Page. 666-667 | en_US |
dc.identifier.isbn | 978-1-4673-6564-2 | - |
dc.identifier.issn | 0730-3157 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/document/7273455/ | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/101291 | - |
dc.description.abstract | Prefetching disk blocks reduces subsequent disk access times, allowing applications to load and run more quickly. Successful prefetching depends on the accuracy with which upcoming disk I/O can be predicted, and many techniques are not particularly accurate, while incurring significant memory and CPU overheads. A new lightweight prefetching technique for general applications performs off-line analysis of application source code, to identify disk access patterns, and then inserts breakpoints. At run time, these breakpoints trigger prefetching based on a log of disk accesses. Average reductions of 30% in launch times and 15% in loading times were observed in experiments. | en_US |
dc.description.sponsorship | This research was supported in part by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2015-H8501-15-1018) supervised by the IITP (Institute for Information & communications Technology Promotion), and in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the MSIP (NRF-2013R1A1A1059188). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Breakpoint | en_US |
dc.subject | prefetching | en_US |
dc.subject | launching/loading time | en_US |
dc.subject | disk I/O | en_US |
dc.title | Breakpoint-based Lightweight Prefetching to Improve Application Response | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/COMPSAC.2015.75 | - |
dc.relation.page | 666-667 | - |
dc.contributor.googleauthor | Jeong, HG | - |
dc.contributor.googleauthor | Won, JW | - |
dc.contributor.googleauthor | Lee, JM | - |
dc.contributor.googleauthor | Kang, KT | - |
dc.contributor.googleauthor | Ryu, JH | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
dc.identifier.pid | ktkang | - |
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