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