Skip to main content

Efficient Service Recommendation System for Cloud Computing Market

  • Conference paper
Grid and Distributed Computing (GDC 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 63))

Included in the following conference series:

Abstract

In recent years, Cloud computing is gaining much popularity as it can efficiently utilize the computing resources and hence can contribute to the issue of Green IT to save energy. So to make the Cloud services commercialized, Cloud markets are necessary and are being developed. As the increasing numbers of various Cloud services are rapidly evolving in the Cloud market, how to select the best and optimal services will be a great challenge. In this paper we present a Cloud service selection framework in the Cloud market that uses a recommender system (RS) which helps a user to select the best services from different Cloud providers (CP) that matches user requirements. The RS recommends a service based on the network QoS and Virtual Machine (VM) platform factors of difference CPs. The experimental results show that our Cloud service recommender system (CSRS) can effectively recommend a good combination of Cloud services to consumers.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  1. Armbrust, M., et al.: Above the clouds: A berkeley view of cloud computing. Technical Report UCB/EECS-2009-28 (2009)

    Google Scholar 

  2. Boykin, P.O., Roychowdhury, V.P.: Leveraging social networks to fight spam. IEEE Computer (2005)

    Google Scholar 

  3. Jones, Q., Grandhi, S.A.: P3 systems: Putting the place back into social networks. IEEE Internet Computing (2005)

    Google Scholar 

  4. Cantador, I., Fernáandez, M., Castells, P.: A Collaborative Recommendation Framework for Ontology Evaluation and Reuse. Universidad Autóonoma de Madrid, Spain (2006)

    Google Scholar 

  5. Adomavicius, G., Tuzhilin, A.: Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Educational Activities Department (2005)

    Google Scholar 

  6. Schafer, J.B., Frankowski, D., Herlocker, J., Sen, S.: Collaborative Filtering Recommender Systems. In: The Adaptive Web (2007)

    Google Scholar 

  7. Golbeck, J.: Computing with Trust: Definition, Properties, and Algorithms. In: Securecomm and Workshops (2006)

    Google Scholar 

  8. Weiss, A.: Computing in the Clouds. Net Worker 11(4), 16–25 (2007)

    Google Scholar 

  9. Buyya, R., Yeo, C.S., Venugopal, S.: Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities. In: HPCC 2008 (September 2008)

    Google Scholar 

  10. Grossman, R.L., Gu, Y., Sabala, M., Zhang, W.: Compute and storage clouds using wide area high performance networks. Future Generation Computer Systems 25(2), 179–183 (2009)

    Article  Google Scholar 

  11. Hayes, B.: Cloud computing. Commun. ACM 51(7), 9–11 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Han, SM., Mehedi Hassan, M., Yoon, CW., Lee, HW., Huh, EN. (2009). Efficient Service Recommendation System for Cloud Computing Market. In: Ślęzak, D., Kim, Th., Yau, S.S., Gervasi, O., Kang, BH. (eds) Grid and Distributed Computing. GDC 2009. Communications in Computer and Information Science, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10549-4_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10549-4_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10548-7

  • Online ISBN: 978-3-642-10549-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics