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Making scheduling "cool": temperature-aware workload placement in data centers
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NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
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PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
A cyber-physical systems approach to energy management in data centers
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Reducing data center energy consumption via coordinated cooling and load management
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
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Artificial Intelligence
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IEEE Network: The Magazine of Global Internetworking
The Knowledge Grid: Toward Cyber-Physical Society
The Knowledge Grid: Toward Cyber-Physical Society
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This paper presents a load control method for small data centers, which are rarely studied although they account for more than 50% of all data centers. The method utilizes the data network and the electrical network to control power usage for participation in demand response (DR) programs, which are regarded as the killer applications of the emerging smart grid (SG). Traditional data center power management often directly manipulates energy usage, which may be ineffective or impractical for small data centers due to their limited resources. Both the SG and the data centers are considered to be the cyber-physical systems (CPSs). This article proposes an approach that performs the data center DR load management through the cyberspaces of the SG and the targeted data center. The proposed method instructs the workload dispatcher to select the best-suited algorithm when a DR event is issued. Additionally, this method also adjusts the temperature set-points of the air conditioners. The simulation result shows that this approach can achieve a 30% power reduction for DR.