Cooling efficiency aware workload placement using historical sensor data on IT-facility collaborative control

A priority metric for IT equipment is proposed, and a method for extracting it from historical sensor data is devised. The proposed method consists of classification of cooling efficiency from sampled sensor data and calculation of the priority metric from statistics on these cooling-efficiency clas...

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Hauptverfasser:	Mase, M., Okitsu, J., Suzuki, E., Nojiri, T., Sano, K., Shimizu, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cooling cooling efficiency data center energy saving Heating historical sensor data IT-equipment priority learning Servers Temperature distribution Temperature measurement Temperature sensors
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creator	Mase, M. Okitsu, J. Suzuki, E. Nojiri, T. Sano, K. Shimizu, H.
description	A priority metric for IT equipment is proposed, and a method for extracting it from historical sensor data is devised. The proposed method consists of classification of cooling efficiency from sampled sensor data and calculation of the priority metric from statistics on these cooling-efficiency classes. A proof-of-concept experiment using the priority metric was conducted in a server room with a thermal environment including IT equipment units and cooling facilities. The results of the experiment indicate that IT-workload consolidation based on the proposed metric equalizes variation in server-room temperatures.
doi_str_mv	10.1109/IGCC.2012.6322287
format	Conference Proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Cooling cooling efficiency data center energy saving Heating historical sensor data IT-equipment priority learning Servers Temperature distribution Temperature measurement Temperature sensors
title	Cooling efficiency aware workload placement using historical sensor data on IT-facility collaborative control
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