Power control for Web-based services on multi-core server systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Minjoong | - |
dc.contributor.author | Park, Moonju | - |
dc.contributor.author | Chae, Jinseok | - |
dc.contributor.author | Kim, Jungsun | - |
dc.contributor.author | Choi, Lynn | - |
dc.date.accessioned | 2021-06-23T09:44:30Z | - |
dc.date.available | 2021-06-23T09:44:30Z | - |
dc.date.issued | 2012-04 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/36217 | - |
dc.description.abstract | Power consumption in data centers with large number of servers is being issued as energy costs increase. To reduce the energy costs, technologies such as DVFS are adopted to server systems. In this paper, we measure a multi-core server system's power consumption running a HTTP server. To identify the characteristics of multi-core servers' power consumption, we examined CPU-intensive and I/O-intensive synthetic workloads. Experimental results show that we can use DVFS for energy efficient server operation for CPU-intensive load, while parallelizing the interrupt processing helps saving energy for I/O-intensive workloads. © 2012 IEEE. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE | - |
dc.title | Power control for Web-based services on multi-core server systems | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/ICCCSN.2012.6215719 | - |
dc.identifier.scopusid | 2-s2.0-84863887634 | - |
dc.identifier.bibliographicCitation | Proceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012, pp 1 - 6 | - |
dc.citation.title | Proceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 6 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordPlus | CPU-intensive | - |
dc.subject.keywordPlus | Data centers | - |
dc.subject.keywordPlus | Energy cost | - |
dc.subject.keywordPlus | Energy efficient | - |
dc.subject.keywordPlus | Multi core | - |
dc.subject.keywordPlus | Parallelizing | - |
dc.subject.keywordPlus | Saving energy | - |
dc.subject.keywordPlus | Server system | - |
dc.subject.keywordPlus | Synthetic workloads | - |
dc.subject.keywordPlus | Web-based service | - |
dc.subject.keywordPlus | Energy efficiency | - |
dc.subject.keywordPlus | Power control | - |
dc.subject.keywordPlus | Cloud computing | - |
dc.subject.keywordAuthor | Data center | - |
dc.subject.keywordAuthor | Multi-core server | - |
dc.subject.keywordAuthor | Power control | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/6215719 | - |
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