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Record link: 
http://hdl.handle.net/20.500.12708/55863
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Title: 
Energy-Aware Cloud Management Through Progressive SLA Specification
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Citation: 
Lučanin, D., Jrad, F., Brandic, I., & Streit, A. (2014). Energy-Aware Cloud Management Through Progressive SLA Specification. In J. Altmann, K. Vanmechelen, & O. F. Rana (Eds.), Economics of Grids, Clouds, Systems, and Services (pp. 83–98). Springer International Publishing. https://doi.org/10.1007/978-3-319-14609-6_6
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Publisher DOI: 
10.1007/978-3-319-14609-6_6
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Lučanin, Dražen 
Jrad, Foued 
Brandic, Ivona 
Streit, Achim 
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Organisational Unit: 
E194-02 - Forschungsbereich Distributed Systems 
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Published in: 
Economics of Grids, Clouds, Systems, and Services 
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Date (published): 
2014
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Event name: 
11th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2014 
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Event date: 
16-Sep-2014 - 18-Sep-2014
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Event place: 
Cardiff, UK, EU
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Number of Pages: 
16
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Publisher: 
Springer International Publishing
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Peer reviewed: 
Yes
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Keywords: 
Cloud computing · SLA · Pricing · Energy efficiency
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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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Research Areas: 
Distributed and Parallel Systems: 95%
Computer Science Foundations: 5%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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