@article {2096,
	title = {Thermal Camera Networks for Large Datacenters using Real-Time Thermal Monitoring Mechanism},
	journal = {Journal of Supercomputing (Springer)},
	volume = {64},
	year = {2013},
	month = {2013},
	pages = {383-408},
	chapter = {383},
	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.},
	author = {H. Liu and E. K. Lee and D. Pompili and X. Kong}
}
