Title :
An Intelligent Self-Organizing Power-Saving Architecture: An Agent-Based Approach
Author :
Niazi, Muaz A. ; Laghari, Samreen
Author_Institution :
Bahria Univ., Islamabad, Pakistan
Abstract :
Corporate energy usage policy is typically difficult to design and impossible to enforce. The problem stems from the fact that there are several complexities in this enforcement and passive tools such as Energy star are naïve; they do not cater for corporate policies. The result of this is an uncontrolled usage of computers in the corporate culture resulting in significant effects on the environment. This is in addition to an effect on the economy due to an increase in the corporate electricity bills. In this paper, we propose the use of a multiagent-based approach comprising of an intelligent self-organizing system managing the energy usage policy. For validation, using an agent-based model we simulate the proposed intelligent self-organizing architecture for monitoring corporate energy utilization. Extensive simulation experiments demonstrate the effectiveness of the proposed approach.
Keywords :
multi-agent systems; power aware computing; agent-based model; corporate culture; corporate electricity bills; corporate energy usage policy; corporate energy utilization; intelligent self-organizing power-saving architecture; intelligent self-organizing system; multiagent-based approach; uncontrolled usage; Computational modeling; Computer architecture; Computers; Monitoring; Multiagent systems; Power demand; Servers; component; agent-based modeling; complex adaptive system; corporate energy policy;
Conference_Titel :
Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
Conference_Location :
Kuantan
Print_ISBN :
978-1-4673-3113-5
DOI :
10.1109/CIMSim.2012.74