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Monitoring and Modelling Open Compute Servers
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-7443-8174
RISE - Swedish Institute of Computer Science.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0001-8235-9639
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2017 (English)In: Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 7177-7184Conference paper, Published paper (Refereed)
Abstract [en]

Energy efficient control of server rooms in modern data centers can help reducing the energy usage of this fast growing industry. Efficient control, however, cannot be achieved without: i) continuously monitoring in real-time the behavior of the basic thermal nodes within these infrastructures, i.e., the servers; ii) analyzing the acquired data to model the thermal dynamics within the data center. Accurate data and accurate models are indeed instrumental for implementing efficient data centers cooling strategies. In this paper we focus on a class of Open Compute Servers, designed in an open-source fashion and currently deployed by Facebook. We thus propose a set of methods for collecting real-time data from these platforms and a control-oriented model describing the thermal dynamics of the CPUs and RAMs of these servers as a function of both manipulable and exogenous inputs (e.g., the CPU utilization levels and the air mass flow produced by the server's fans). We identify the parameters of this model from real data and make the results available to other researchers.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 7177-7184
Series
IEEE Industrial Electronics Society, ISSN 1553-572X
National Category
Computer Systems Control Engineering Fluid Mechanics and Acoustics Computer Sciences
Research subject
Control Engineering; Fluid Mechanics; Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-67365DOI: 10.1109/IECON.2017.8217256ISI: 000427164807012Scopus ID: 2-s2.0-85046630048OAI: oai:DiVA.org:ltu-67365DiVA, id: diva2:1176671
Conference
43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29 Oct.-1 Nov. 2017
Funder
Swedish Energy Agency, 39357-2
Available from: 2018-01-23 Created: 2018-01-23 Last updated: 2018-05-21Bibliographically approved

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