Fan-speed-aware scheduling of data intensive jobs

Authors:
Christine S. Chan;Yanqin Jin;Yen-Kuan Wu;Kenny Gross;Kalyan Vaidyanathan;Tajana `imuni Rosing
Affiliations:
University of California at San Diego, San Diego, CA, USA;University of California at San Diego, San Diego, CA, USA;University of California at San Diego, San Diego, CA, USA;Oracle Physical Sciences Research Center, San Diego, CA, USA;Oracle Physical Sciences Research Center, San Diego, CA, USA;University of California at San Diego, San Diego, CA, USA
Venue:
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
Year:
2012

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Abstract

As server processor power densities increase, the cost of air cooling also grows resulting from higher fan speeds. Our measurements show that vibrations induced by fans in high-end servers and its rack neighbors cause a dramatic drop in hard disk bandwidth, resulting in a corresponding decrease in application performance. In this paper we quantify the performance and energy cost effects of the fan vibrations and propose a disk performance aware thermal, energy and cooling technique. Results show that we can not only meet thermal constraints, but also improve performance by 1.35x as compared to the conventional methods.