Autonomic multi-agent management of power and performance in data centers

  • Authors:
  • Rajarshi Das;Jeffrey O. Kephart;Charles Lefurgy;Gerald Tesauro;David W. Levine;Hoi Chan

  • Affiliations:
  • IBM Research;IBM Research;IBM Research;IBM Research;IBM Research;IBM Research

  • Venue:
  • Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

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 energy-conserving 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.