Towards Discovering Data Center Genome Using Sensor Nets

The IT industry is the fastest growing sector in US energy

consumption. Improving data center energy efficiency

is a pressing issue with significant economic and environmental

consequences. Heat distribution is a key operational

parameter that affects data center cooling and energy consumption.

However, typical data centers lack effective finegrained

sensing systems to monitor heat distribution at a

large scale. In this paper, we motivate the use of sensor networks

as a dense instrumentation technology to understand

and control cooling in data centers. We present Microsoft

Research Genomote sensors designed for data center monitoring,

and the RACNet for reliable data acquisition. We

describe lessons learned from early pilot deployments, and

discuss architectural and technical challenges in developing

data center sensor networks.

emnets08dcgenome.pdf
PDF file

In  The Fifth Workshop on Embedded Networked Sensors (HotEmNets 2008)

Publisher  Association for Computing Machinery, Inc.
Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM’s Digital Library --http://www.acm.org/dl/.

Details

TypeInproceedings
> Publications > Towards Discovering Data Center Genome Using Sensor Nets