• DocumentCode
    1930638
  • Title

    An Intelligent Self-Organizing Power-Saving Architecture: An Agent-Based Approach

  • Author

    Niazi, Muaz A. ; Laghari, Samreen

  • Author_Institution
    Bahria Univ., Islamabad, Pakistan
  • fYear
    2012
  • fDate
    25-27 Sept. 2012
  • Firstpage
    70
  • Lastpage
    75
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
  • Conference_Location
    Kuantan
  • ISSN
    2166-8531
  • Print_ISBN
    978-1-4673-3113-5
  • Type

    conf

  • DOI
    10.1109/CIMSim.2012.74
  • Filename
    6338048