IDEAS home Printed from https://ideas.repec.org/a/igg/jwsr00/v10y2013i1p29-52.html
   My bibliography  Save this article

Improving Energy Efficiency in Web Services: An Agent-Based Approach for Service Selection and Dynamic Speed Scaling

Author

Listed:
  • Jiwei Huang

    (Department of Computer Science and Technology, Tsinghua University, Beijing, China & School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA)

  • Chuang Lin

    (Department of Computer Science and Technology, Tsinghua University, Beijing, China)

Abstract

With the rapid increase of the energy consumption associated with IT systems and services, energy efficiency is becoming a critical issue in the design, development and management of web service systems. One of the main mechanisms that can be used to reduce the energy consumption is dynamic speed scaling which scales the frequencies of the processors of web servers at hardware level. Another approach is service selection to facilitate the use of energy through effective distribution and management of the web services. In this paper, both the web service selection and server dynamic speed scaling are optimized by maximizing the quality of service (QoS) revenue and minimizing energy costs. Stochastic models of web service systems are proposed, and techniques for quantitative analysis of the performance and energy consumption are investigated. The authors formulate the service selection and speed scaling as a Markov Decision problem, and introduce related algorithms to solve it. Furthermore, the authors build up an optimization framework using multi-agent techniques, and design efficient algorithms to solve the problem in large-scale web service systems. Finally, the effectiveness of their approach is validated by simulation experiments.

Suggested Citation

  • Jiwei Huang & Chuang Lin, 2013. "Improving Energy Efficiency in Web Services: An Agent-Based Approach for Service Selection and Dynamic Speed Scaling," International Journal of Web Services Research (IJWSR), IGI Global, vol. 10(1), pages 29-52, January.
    • Handle: RePEc:igg:jwsr00:v:10:y:2013:i:1:p:29-52
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwsr.2013010102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jwsr00:v:10:y:2013:i:1:p:29-52. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.