Autonomic multi-agent management of power and performance in data centers
Rajarshi Das, Jeffrey O. Kephart, Charles R. Lefurgy, Gerald J. Tesauro, David Levine, Hoi Chan · 2008
The rapidly rising cost and environmental impact of energy consumption in data centers has become a multi-billion dollar concern globally. In response, the IT Industry is actively engaged in a first-to-market race to develop energyconserving hardware and software solutions that do not sacrifice performance objectives. In this work we demonstrate a prototype of an integrated data center power management solution that employs server management tools, appropriate sensors and monitors, and an agent-based approach to achieve specified power and performance objectives. By intelligently turning off servers under low-load conditions, we can achieve over 25 % power savings over the unmanaged case without incurring SLA penalties for typical daily and weekly periodic demands seen in webserver farms. Categories and Subject Descriptors D.4.8 [Software]: Performance—measurements, modeling and prediction, operational analysis General Terms Data center, power measurement, multicriteria utility functions, policy-based management