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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ziming Zhang Song Fu |
| Copyright Year | 2011 |
| Abstract | Power and energy are primary concerns in the design and management of modern cloud computing systems and data centers. Operational costs for powering and cooling large-scale cloud systems will soon exceed acquisition costs. To improve the energy effciency of cloud computing systems and applications, it is critical to profile the power usage of real systems and applications. Many factors influence power and energy usage in cloud systems, including each components electrical specification, the system usage characteristics of the applications, and system software. In this work, we present the power profiling results on a cloud test bed. We combine hardware and software that achieves power and energy profiling at server granularity. We collect the power and energy usage data with varying server/cloud configurations, and quantify their correlation. Our experiments reveal conclusively how different system configurations affect the server/cloud power and energy usage. |
| Starting Page | 146 |
| Ending Page | 153 |
| File Size | 284052 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467300902 |
| DOI | 10.1109/CloudCom.2011.29 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-29 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Energy consumption Power demand Memory management Green Cloud Systems Benchmark testing Hardware Power Usage Modeling Servers Energy Efficiency Power Profiling |
| Content Type | Text |
| Resource Type | Article |
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