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- Pranjol Sen Gupta Computer Science and Engineering, The University of Texas at Arlington, Arlington, Texas, USA
Computer Science and Engineering, The University of Texas at Arlington, Arlington, Texas, USA
https://orcid.org/0000-0002-0146-9148
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- Zahidur Talukder Computer Science and Engineering, The University of Texas at Arlington, Arlington, Texas, United States of America
Computer Science and Engineering, The University of Texas at Arlington, Arlington, Texas, United States of America
https://orcid.org/0000-0003-0930-3123
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- Tasnim Azad Abir Computer Science and Engineering, The University of Texas at Arlington, Arlington, Texas, USA
Computer Science and Engineering, The University of Texas at Arlington, Arlington, Texas, USA
https://orcid.org/0000-0002-0591-9775
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- Phuc Nguyen Manning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America
Manning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America
https://orcid.org/0000-0001-8078-4463
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- Mohammad A. Islam Computer Science and Engineering, The University of Texas at Arlington, Arlington, Texas, United States of America
Computer Science and Engineering, The University of Texas at Arlington, Arlington, Texas, United States of America
https://orcid.org/0000-0002-5778-4366
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SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor SystemsNovember 2023Pages 237–250https://doi.org/10.1145/3625687.3625801
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SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems
Enabling Low-Cost Server-Level Power Monitoring in Data Centers Using Conducted EMI
Pages 237–250
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ABSTRACT
Server-level power monitoring in data centers can significantly contribute to its efficient management. Nevertheless, due to the cost of a dedicated power meter for each server, most data center power management only focuses on UPS or cluster-level power monitoring. In this paper, we propose a low-cost novel power monitoring approach that uses only one sensor to extract power consumption information of all servers. We utilize the conducted electromagnetic interference (EMI) of server power supplies to measure their power consumption from non-intrusive single-point voltage measurements. We present a theoretical characterization of conducted EMI generation in server power supply and its propagation through the data center power network. Using a set of ten commercial-grade servers (six Dell PowerEdge and four Lenovo ThinkSystem), we demonstrate that our approach can estimate each server's power consumption with less than ~7% mean absolute error.
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Index Terms
Enabling Low-Cost Server-Level Power Monitoring in Data Centers Using Conducted EMI
Computer systems organization
Embedded and cyber-physical systems
Sensors and actuators
General and reference
Cross-computing tools and techniques
Measurement
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SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems
November 2023
574 pages
ISBN:9798400704147
DOI:10.1145/3625687
- General Chair:
- Rasit Eskicioglu,
- Program Chair:
- Polly Huang,
- Program Co-chair:
- Neal Patwari
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.
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- Published: 26 April 2024
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- data center
- electromagnetic interference
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