@article {165,
	title = {Proactive Thermal Management in Green Datacenters},
	journal = {Journal of Supercomputing, Special Issue on Energy-Efficient High-Performance Parallel and Distributed Computing},
	year = {2010},
	abstract = {The increasing demand for faster computing and high storage capacity has
resulted in an increase in energy consumption and heat generation in datacenters. Because
of the increase in heat generation, cooling requirements have become a critical
concern, both in terms of growing operating costs as well as their environmental and
societal impacts. Presently, thermal management techniques make an effort to thermally
profile and control datacenters{\textquoteright} cooling equipment to increase their efficiency.
In conventional thermal management techniques, cooling systems are triggered by
the temperature crossing predefined thresholds. Such reactive approaches result in
delayed response as the temperature may already be too high, which can result in
performance degradation of hardware. In this work, a proactive control approach is proposed that jointly optimizes the
air conditioner compressor duty cycle and fan speed to prevent heat imbalance{\textemdash}the
difference between the heat generated and extracted from a machine{\textemdash}thus minimizing
the cost of cooling. The proposed proactive optimization framework has two
objectives: (i) minimize the energy consumption of the cooling system, and (ii) minimize
the risk of equipment damage due to overheating. Through thorough simulations
comparing the proposed proactive heat-imbalance estimation-based approach against
conventional reactive temperature-based schemes, the superiority of the proposed approach is highlighted in terms of cooling energy, response time, and equipment failure
risk.},
	doi = {10.1007/s11227-010-0453-8},
	author = {E. K. Lee and I. Kulkarni and D Pompili and Manish Parashar}
}
