Expressive Power-Based Resource Allocation for Data Centers
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1451-1455.
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
@inproceedings{ijcai2009p243,
title = {Expressive Power-Based Resource Allocation for Data Centers},
author = {Lubin, Benjamin and Kephart, Jeffrey O. and Das, Rajarshi and Parkes, David C.},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {1451--1455},
year = {2009},
url = {https://ijcai.org/proceedings/2009/243},
}
TY - CPAPER TI - Expressive Power-Based Resource Allocation for Data Centers AU - Lubin, Benjamin AU - Kephart, Jeffrey O. AU - Das, Rajarshi AU - Parkes, David C. T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 1451 EP - 1455 UR - https://ijcai.org/proceedings/2009/243 ER -Copied
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