Abstract
Novel energy-aware cloud management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a managed virtual machine (VM) may suffer occasional downtimes. Current cloud providers only offer high availability VMs, without enough flexibility to apply such energy-aware management. In this paper we show how to analyse past traces of dynamic cloud management actions based on electricity prices and temperatures to estimate VM availability and price values. We propose a novel service level agreement (SLA) specification approach for offering VMs with different availability and price values guaranteed over multiple SLAs to enable flexible energy-aware cloud management. We determine the optimal number of such SLAs as well as their availability and price guaranteed values. We evaluate our approach in a user SLA selection simulation using Wikipedia and Grid’5000 workloads. The results show higher customer conversion and \(39\%\) average energy savings per VM.
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Notes
- 1.
US-only electricity price source and a limit of free API requests for temperatures.
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Acknowledgements
The work described in this paper has been funded through the Haley project (Holistic Energy Efficient Hybrid Clouds) as part of the TU Vienna Distinguished Young Scientist Award 2011.
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Lučanin, D., Jrad, F., Brandic, I., Streit, A. (2014). Energy-Aware Cloud Management Through Progressive SLA Specification. In: Altmann, J., Vanmechelen, K., Rana, O. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2014. Lecture Notes in Computer Science(), vol 8914. Springer, Cham. https://doi.org/10.1007/978-3-319-14609-6_6
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