Skip to main content
Springer Nature Link
Log in

Energy-Saving Information Multi-agent System with Web Services for Cloud Computing

  • Conference paper
Security-Enriched Urban Computing and Smart Grid (SUComS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 223))

Abstract

This paper focuses on designing an information multi-agent system with Web service techniques for cloud computing and its interaction paradigms. It employs the concept of SQL IC to construct the operational interface of cloud database as a data warehouse. This approach not only can look after both sides of ubiquitous access advantages of cloud techniques, but also retain the consistent user interface of a data warehouse. It enables information users to conveniently use the Internet to quickly access the system information in clouds. This paper preliminarily proposes an energy-saving information multi-agent system architecture with Web services for cloud computing. Related presentations and comparisons of the system prototype also verify its feasibility.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Gu, S.R.: Cloud Computing Robs Their Turfs, A New Warring Age of IT Industry. Common Wealth Magazine 423, 178–181 (2009)

    Google Scholar 

  2. Wu, H.H.: Introduction to Web Service Techniques, http://www.ascc.sinica.edu.tw/nl/93/2023/02.txt (visited on March 9, 2011)

  3. Yang, S.Y., Hsu, C.L.: An Ontological Proxy Agent with Prediction, CBR, and RBR Techniques for Fast Query Processing. Expert Systems with Applications 36(5), 9358–9370 (2009)

    Article  Google Scholar 

  4. Yang, S.Y., Chiang, H.C., Wu, K.J.: Developing an Intelligent Energy-saving Information Processing and Decision Supporting System. In: Proc. of 2010 Symposium on Constructing Industrial and Academic Park of Green Energy Science and Technology and Intelligent Energy-saving Techniques and Project Achievement Lunching Ceremony, Taipei, Taiwan, pp. 41–47 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Computer and Communication Engineering, St. John’s University, Taiwan

    Sheng-Yuan Yang

  2. Dept. of Information Management, St. John’s University, Taiwan

    Dong-Liang Lee & Kune-Yao Chen

  3. Dept. of Electrical Engineering, St. John’s University, Taiwan

    Chun-Liang Hsu

Authors
  1. Sheng-Yuan Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dong-Liang Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kune-Yao Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chun-Liang Hsu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. National Dong Hwa University, Hualien, Taiwan

    Ruay-Shiung Chang  & Sheng-Lung Peng  & 

  2. Department of Multimedia Engineering, Hannam University, 133 Ojeong-dong, Daedeok-gu, 306-791, Daejeon, Korea

    Tai-hoon Kim

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yang, SY., Lee, DL., Chen, KY., Hsu, CL. (2011). Energy-Saving Information Multi-agent System with Web Services for Cloud Computing. In: Chang, RS., Kim, Th., Peng, SL. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2011. Communications in Computer and Information Science, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23948-9_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23948-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23947-2

  • Online ISBN: 978-3-642-23948-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics