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Monitoring and mode...
Monitoring and modelling open compute servers
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- Eriksson, Martin (author)
- Luleå tekniska universitet,Signaler och system
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- Lucchese, Riccardo (author)
- Luleå tekniska universitet,Signaler och system
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- Gustafsson, Jonas (author)
- RISE,SICS,RISE - Swedish Institute of Computer Science
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- Ljung, Anna-Lena (author)
- Luleå tekniska universitet,Strömningslära och experimentell mekanik
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- Mousavi, Arash, 1969- (author)
- Luleå tekniska universitet,Datavetenskap
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- Varagnolo, Damiano (author)
- Luleå tekniska universitet,Signaler och system
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(creator_code:org_t)
- Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc. 2017
- 2017
- English.
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In: Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. - Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc.. - 9781538611272 ; , s. 7177-7184, s. 7177-7184
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- data acquisition
- Data center modelling
- thermal control in data centers
- thermal dynamics modelling
- Dynamics
- Energy efficiency
- Energy utilization
- Program processors
- Control oriented models
- Cooling strategy
- CPU utilization
- Data centers
- Efficient control
- Energy efficient
- Exogenous input
- Thermal dynamics
- Industrial electronics
- Reglerteknik
- Strömningslära
- Dependable Communication and Computation Systems
Publication and Content Type
- ref (subject category)
- kon (subject category)
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