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- Nam, Beomseok
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | US | - |
| dc.citation.startPage | 657 | - |
| dc.citation.title | ACM Symposium on Cloud Computing | - |
| dc.contributor.author | Hwang, Eunji | - |
| dc.contributor.author | Kim, Hyungoo | - |
| dc.contributor.author | Nam, Beomseok | - |
| dc.contributor.author | Choi, Young-Ri | - |
| dc.date.accessioned | 2023-12-19T18:10:24Z | - |
| dc.date.available | 2023-12-19T18:10:24Z | - |
| dc.date.created | 2017-11-27 | - |
| dc.date.issued | 2017-09-24 | - |
| dc.description.abstract | In this work, we investigate techniques to improve the performance of big data analytics in virtualized clusters by effectively increasing the utilization of cached data and efficiently using scarce memory resources. | - |
| dc.identifier.bibliographicCitation | ACM Symposium on Cloud Computing, pp.657 | - |
| dc.identifier.doi | 10.1145/3127479.3129253 | - |
| dc.identifier.scopusid | 2-s2.0-85032445625 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/38623 | - |
| dc.identifier.url | https://dl.acm.org/citation.cfm?doid=3127479.3129253 | - |
| dc.language | 영어 | - |
| dc.publisher | ACM | - |
| dc.title | Exploring memory locality for big data analytics in virtualized clusters | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2017-09-24 | - |
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