Expressive Power-Based Resource Allocation for Data Centers
Abstract
As data-center energy consumption continues to rise, efficient power management is becoming increasingly important. In this work, we examine the use of a novel market mechanism for finding the right balance between power and performance. The market enables a separation between a `buyer side' that strives to maximize performance and a 'seller side' that strives to minimize power and other costs. A concise and scalable description language is defined for agent preferences that admits a mixed-integer program for computing optimal allocations. Experimental results demonstrate the robustness, flexibility, practicality and scalability of the architecture. Benjamin Lubin, Jeffrey O. Kephart, Rajarshi Das, David C. Parkes
Cite
Text
Lubin et al. "Expressive Power-Based Resource Allocation for Data Centers." International Joint Conference on Artificial Intelligence, 2009.Markdown
[Lubin et al. "Expressive Power-Based Resource Allocation for Data Centers." International Joint Conference on Artificial Intelligence, 2009.](https://mlanthology.org/ijcai/2009/lubin2009ijcai-expressive/)BibTeX
@inproceedings{lubin2009ijcai-expressive,
title = {{Expressive Power-Based Resource Allocation for Data Centers}},
author = {Lubin, Benjamin and Kephart, Jeffrey O. and Das, Rajarshi and Parkes, David C.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2009},
pages = {1451-1456},
url = {https://mlanthology.org/ijcai/2009/lubin2009ijcai-expressive/}
}