Skip to main content
SpringerLink
Log in

A Leasing Instances Based Billing Model for Cloud Computing

  • Conference paper
Advances in Grid and Pervasive Computing (GPC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6646))

Included in the following conference series:

Abstract

As a new technology in IT industry, cloud computing has been much focused by both academia and industry. And many topics in cloud computing are under study. However, as one of the most important issue, billing and pricing has been not so much concerned. In this paper, we propose a novel pay-per-use billing model that can be used for the applications in cloud computing. Built based on leasing instances, the model is put forward according to the analysis of the real applications in the cloud computing environment. That is, with the model, the users will be charged totally by the amount of the resources they have used. Simulation results show that the model is correct and feasible.

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

Access this chapter

Log in via an institution
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. Amazon web services website, http://aws.amazon.com/ec2/pricing/

  2. Mihoob, A., Molina-Jimenez, C., Shrivastava, S.: A Case for Consumer–centric Resource Accounting Models. In: 3th IEEE International Conference on Cloud Computing, pp. 506–512 (2010)

    Google Scholar 

  3. Zilberstein, S.: Using Anytime Algorithms in Intelligent Systems. AI Magazine 17(3), 73–83 (1996)

    Google Scholar 

  4. Zilberstein, S.: Operational Rationality through Compilation of Anytime Algorithms. Ph.D. diss., Computer Science Division, University of California at Berkeley (1993)

    Google Scholar 

  5. Park, K.W., Park, S.K., Han, J., Park, K.H.: THEMIS: Towards Mutually Verifiable Billing Transactions in the Cloud Computing Environment. In: 3th IEEE International Conference on Cloud Computing, pp. 139–147 (2010)

    Google Scholar 

  6. Elmroth, E., Márquez, F.G., Henriksson, D., Ferrera, D.P.: Accounting and Billing for Federated Cloud Infrastructures. In: Eighth International Conference on Grid and Cooperative Computing, pp. 268–275 (2009)

    Google Scholar 

  7. Anandasivam, A., Premm, M.: Bid Price Control and Dynamic Pricing in Clouds (2010), http://is2.lse.ac.uk/asp/aspecis/20090089.pdf

  8. Buyya, R., Abramson, D., Giddy, J.: Economic models for resource management and scheduling in Grid computing. In: Concurrency and Computation: Practice and Expericence, pp. 1507–1542 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Engineering & Science, Shanghai University, Yanchang Rd. 149, 200072, Shanghai, China

    Qin Yuan, Zhixiang Liu, Junjie Peng, Xing Wu, Jiandun Li, Fangfang Han, Qing Li & Wu Zhang

  2. Key Laboratory of Computer System and Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Kexueyuan South Rd. 6, 100190, Beijing, China

    Junjie Peng

  3. Zople Cloud Computing Technology Co., Ltd, Huma Rd. 571, 200431, Shanghai, China

    Xinjin Fan & Shengyuan Kong

Authors
  1. Qin Yuan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhixiang Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Junjie Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xing Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jiandun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Fangfang Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Qing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Wu Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Xinjin Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Shengyuan Kong
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electrical and Information Engineering, University of Oulu, 90014, Oulu, Finland

    Jukka Riekki  & Mika Ylianttila  & 

  2. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200240, Minhang, Shanghai, China

    Minyi Guo

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yuan, Q. et al. (2011). A Leasing Instances Based Billing Model for Cloud Computing. In: Riekki, J., Ylianttila, M., Guo, M. (eds) Advances in Grid and Pervasive Computing. GPC 2011. Lecture Notes in Computer Science, vol 6646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20754-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20754-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20753-2

  • Online ISBN: 978-3-642-20754-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation