Cooling availability of data centers has drawn considerable attention from academia. This paper considers temperature control of a cluster of servers with different inlet air temperatures. A rule-based control approach and a model predictive control approach are proposed to find the optimal load distribution, which can lower the outlet air temperature of servers. Web request traces of WorldCup 98 are used as workload in the simulation. The simulation results indicate that the proposed control strategies achieved significant drops in temperature than that of other competitors.
['Mengxuan Song', 'Han Zhu', 'Qiu Fang', 'Jun Wang']
Thermal-aware load balancing in a server rack