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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Imada, T. Sato, M. Hotta, Y. Kimura, H. |
| Copyright Year | 2008 |
| Description | Author affiliation: Grad. Sch. of Syst. & Inf. Eng., Univ. of Tsukuba, Tsukuba (Imada, T.; Sato, M.; Hotta, Y.; Kimura, H.) |
| Abstract | In this paper, we propose a scheme based on server node state control, including stand-by/wake-up and processor power control, to achieve aggressive power education while satisfying Quality of Service (QoS). Decreasing power consumption on Web servers is currently a challenging new problem to be solved in a data center or warehouse. Although Web servers are configured to have maximum performance, the actual access rate to the servers can be small in a specific period, such as midnight, so it may be possible to reduce the power consumption of the servers while satisfying QoS with lower server performance. In order to reduce power consumption on the server nodes, we now have to consider the power consumption of the entire node rather than only processor power by Dynamic Voltage and Frequency Scaling (DVFS). We implemented the proposed scheme to the distributed Web server system using the power-profile of server nodes and considering load increment based on traffic prediction method and evaluated the proposed scheme with a Web server benchmark workload based on SPECWeb99. The result reveals that the proposed scheme achieved an energy saving of approximately 17% with sufficient QoS performance on the distributed Web server system. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 491246 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424416936 |
| ISSN | 15302075 |
| DOI | 10.1109/IPDPS.2008.4536221 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy management |
| Content Type | Text |
| Resource Type | Article |
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