Limited power budget is becoming one of the most crucial challenges in developing supercomputer systems. Hardware overprovisioning which installs a larger number of nodes beyond the limitations of the power constraint is an attractive way to design future supercomputers. In air-cooled HPC centers, it is said that about half of the total power is consumed by cooling facilities. Reducing cooling power and effectively utilizing power resource for computing nodes are important challenges. In this talk, we present a cooling and node location-aware job scheduling strategy which tries to optimize job-to-node mapping while improving the total system throughput under the constraint of total system (compute nodes and cooling facilities) power consumption.