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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 2/2013

01.05.2013

Thermal camera networks for large datacenters using real-time thermal monitoring mechanism

verfasst von: Hang Liu, Eun Kyung Lee, Dario Pompili, Xiangwei Kong

Erschienen in: The Journal of Supercomputing | Ausgabe 2/2013

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Abstract

Thermal cameras provide fine-grained thermal information that enables monitoring and autonomic thermal management in large datacenters. The real-time thermal monitor network employing thermal cameras is proposed to cooperatively localize hotspots and extract their characteristics (i.e., temperature, size, and shape). These characteristics are adopted to classify the causes of hotspots and make energy-efficient thermal management decisions such as job migration. Specifically, a sculpturing algorithm for extracting and reconstructing shape characteristics of hotspots is proposed to minimize the network overhead. Experimental results show the validity of all the algorithms proposed in this paper.
Vorheriger Artikel Handoff with energy awareness for future pervasive environments
Nächster Artikel Standardisation advancements in the area of routing for mobile ad-hoc networks

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Metadaten
Titel
Thermal camera networks for large datacenters using real-time thermal monitoring mechanism
verfasst von
Hang Liu
Eun Kyung Lee
Dario Pompili
Xiangwei Kong
Publikationsdatum
01.05.2013
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 2/2013
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-012-0781-y

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