@inproceedings{0a043f59ae984edebc69d7d497670485,
title = "Chameleon: Adapting throughput server to time-varying green power budget using online learning",
abstract = "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.",
keywords = "adaptation, green power, learning, throughput server",
author = "Chao Li and Xian Li and Rui Wang and Tao Li and Nilanjan Goswami and Depei Qian",
year = "2013",
doi = "10.1109/ISLPED.2013.6629274",
language = "英语",
isbn = "9781479912353",
series = "Proceedings of the International Symposium on Low Power Electronics and Design",
pages = "100--105",
booktitle = "Proceedings of the International Symposium on Low Power Electronics and Design, ISLPED 2013",
note = "2013 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2013 ; Conference date: 04-09-2013 Through 06-09-2013",
}