Data Center Cooling xe2x80x93 Then, Now and the Future Data center cooling systems have varied widely over the years, yet the goal was always the same: keeping the facility running smoothly by preventing the internal equipment from overheating. As designs keep moving forward, we can see how cooling solutions and strategies have evolved and where they seem to be headed into the future. Air and water cooling, economization, energy recovery, and more have been explored and utilized all over the globe for extended periods of time. What has worked? What has worked best? Todayxe2x80x99s data centers are ranked not just on reliability, but also on efficiency and cost effectiveness _ and the means of cooling the data center is one of the biggest energy and cost factors. This discussion will review the iterative design steps that have been taken in the past to see how cooling strategies have improved, and then forecast the next phases we may see in the near and perhaps notsonear future.

Bridging Server and Cooling: Toward Effective Energy Management in Data Centers This paper studies the energy management problem in data centers. As the most energyconsuming subsystems, server and cooling have been considered as the key of energy saving for data center. However, due to the fact that servers are not directly connected to cooling devices, it is not trivial to optimize them jointly. In this paper, we formulate the joint server and cooling energy management problem and analyze its challenges, and design a Learningbased Energy management Scheme (LEES) to solve the joint energy management problem. Firstly, machine learning methods are investigated in the cooling power modeling and cabinet temperature modeling. Based on the models, a simple yet efficient energy management scheme is proposed to find an optimized configuration of server load distribution, server status and air supply temperature setting for the data center to reduce the total energy consumption. Extensive simulation results demonstrate that our method is able to reduce the total energy consumption of data centers significantly.