Chameleon: adapting throughput server to time-varying green power budget using online learning

Eco-friendly energy sources (i.e. green power) attract great attention as lowering computer carbon footprint has become a necessity. Existing proposals on managing green energy powered systems show sub-optimal results since they either use rigid load power capping or heavily rely on backup power. We propose Chameleon, a novel adaptive green throughput server. Chameleon comprises of multiple flexible power management policies and leverages learning algorithm to select the optimal operating mode during runtime. The proposed design outperforms the state-of-the-art approach by 13% on performance, improves system MTBF by 42%, and still maintains up to 95% green energy utilization.