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Energy-Aware Pricing Within Cloud Environments

  • Conference paper
  • First Online:
Economics of Grids, Clouds, Systems, and Services (GECON 2016)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10382))

Abstract

The Adapting Service lifeCycle towards EfficienT Clouds (ASCETiC) project aims to provide novel methods and tools to support software developers aiming to optimize energy efficiency resulting from designing, developing, deploying and running software at the different layers of the cloud stack architecture, while maintaining other quality aspects of software to meet the agreed levels. The Pricing Modeler is a component within the ASCETiC architecture, which is responsible for the price estimation and billing of cloud applications or Virtual Machines (VMs) based on their energy consumption. In this paper, we propose a set of novel energy-aware pricing schemes implemented within the Pricing Modeler component, as well as a set of envisaged service plans which aim to facilitate the gradual adoption of the ASCETiC architecture.

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Notes

  1. 1.

    For example, if the static price is the spot price of a market mechanism.

  2. 2.

    For example, in the ASCETiC framework, the IaaS Energy Modeler component is the principle component for predicting energy usage and generating historic logs of usage [3].

References

  1. ASCETiC, EU FP-7 project. http://ascetic-project.eu/

  2. Mell, P., Grance, T.: The NIST definition of cloud computing. Nat. Inst. Stand. Technol. 53(6), 50 (2009)

    Google Scholar 

  3. ASCETiC Deliverable D2.2.3 Architecture Specification – Version 3, Public Deliverable, December 2015

    Google Scholar 

  4. AT&T Cloud Services website. http://www.business.att.com/enterprise/Portfolio/cloud

  5. GoGrid website. http://www.gogrid.com

  6. Terramark website. http://vcloudexpress.terremark.com

  7. Microsoft Windows Azure website. http://www.windowsazure.com/en-us/pricing/calculator

  8. Opsource website. http://www.opsource.net

  9. Amazon Elastic Compute Cloud website. http://aws.amazon.com

  10. Rackspace website. http://www.rackspace.com/cloud

  11. Google Cloud Pricing website. https://developers.google.com/storage/pricing

  12. Softlayer website. http://www.softlayer.com

  13. HP cloud website. http://www.hpcloud.com/pricing

  14. Engine Yard website. https://www.engineyard.com/products/cloud

  15. Acquia website. http://www.acquia.com/cloud-pricing

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Acknowledgements

This work is partly supported by the European Commission under FP7-ICT-2013.1.2 contract 610874 - Adapting Service lifeCycle towards EfficienT Clouds (ASCETiC) project.

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Authors and Affiliations

  1. Network Economics and Services Research Group, Department of Informatics, Athens University of Economics and Business, 76 Patission Street, 10434, Athens, Greece

    Alexandros Kostopoulos, Eleni Agiatzidou & Antonis Dimakis

Authors
  1. Alexandros Kostopoulos
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  2. Eleni Agiatzidou
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  3. Antonis Dimakis
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Corresponding author

Correspondence to Alexandros Kostopoulos .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Zaragoza, Zaragoza, Spain

    José Ángel Bañares

  2. Harokopio University, Tavros, Greece

    Konstantinos Tserpes

  3. Seoul National University, Seoul, Korea (Republic of)

    Jörn Altmann

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Kostopoulos, A., Agiatzidou, E., Dimakis, A. (2017). Energy-Aware Pricing Within Cloud Environments. In: Bañares, J., Tserpes, K., Altmann, J. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2016. Lecture Notes in Computer Science(), vol 10382. Springer, Cham. https://doi.org/10.1007/978-3-319-61920-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-61920-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61919-4

  • Online ISBN: 978-3-319-61920-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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