Cooling efficiency aware workload placement using historical sensor data on IT-facility collaborative control

A priority metric for IT equipment is proposed, and a method for extracting it from historical sensor data is devised. The proposed method consists of classification of cooling efficiency from sampled sensor data and calculation of the priority metric from statistics on these cooling-efficiency classes. A proof-of-concept experiment using the priority metric was conducted in a server room with a thermal environment including IT equipment units and cooling facilities. The results of the experiment indicate that IT-workload consolidation based on the proposed metric equalizes variation in server-room temperatures.