LIU Hang, LEE Eun Kyung, POMPILI Dario, et al., “Data Center Local Thermal Management Based on Thermal Cameras Networks,” Chinese Journal of Electronics, vol. 20, no. 2, pp. 347-351, 2011,
Citation:
LIU Hang, LEE Eun Kyung, POMPILI Dario, et al., “Data Center Local Thermal Management Based on Thermal Cameras Networks,” Chinese Journal of Electronics, vol. 20, no. 2, pp. 347-351, 2011,
LIU Hang, LEE Eun Kyung, POMPILI Dario, et al., “Data Center Local Thermal Management Based on Thermal Cameras Networks,” Chinese Journal of Electronics, vol. 20, no. 2, pp. 347-351, 2011,
Citation:
LIU Hang, LEE Eun Kyung, POMPILI Dario, et al., “Data Center Local Thermal Management Based on Thermal Cameras Networks,” Chinese Journal of Electronics, vol. 20, no. 2, pp. 347-351, 2011,
Global data center capacity is growing rapidly, consuming more financial resources and emitting more greenhouse gases. A significant portion of typical data centers energy consumption can be apportioned to the cooling infrastructure. In this paper, we proposed a Thermal camera network (TCN) to improve utilization of the cooling infrastructure. It can cool the hotspots intelligently instead of the whole data center. A TCN is composed of multiple thermal cameras and actors, which can wirelessly communicate with each other. Actors will cool the region where hotspots appear as soon as thermal cameras locate the hotspots. In that way, the TCN can save substantial energy in some meaning. In addition, this paper addresses the method of cooperatively detection and formulates the coordinates of the hotspot located by multiple thermal cameras.