Abstract
Energy efficiency for data centers has been recently an active research field. Several efforts have been made at the infrastructure and application levels to achieve energy efficiency and reduction of CO2 emissions. In this paper we approach the problem of application deployment to evaluate its impact on the energy consumption of applications at runtime. We use queuing networks to model different deployment configurations and to perform quantitative analysis to predict application performance and energy consumption. The results are validated against experimental data to confirm the correctness of the models when used for predictions. Comparisons between different configurations in terms of performance and energy consumption are made to suggest the optimal configuration to deploy applications on cloud environments.
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Acknowledgements
This work has been partly funded by the European Commission’s 7th Framework Program (contract numbers 318048) within the ECO2Clouds project (http://eco2clouds.eu/). This work expresses the opinions of the authors and not necessarily those of the European Commission. The European Commission is not liable for any use that may be made of the information contained in this work. We thank University of Stuttgart (USTUTT-HLRS) for the support in our work.
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Gribaudo, M., Ho, T.T.N., Pernici, B., Serazzi, G. (2015). Analysis of the Influence of Application Deployment on Energy Consumption. In: Klingert, S., Chinnici, M., Rey Porto, M. (eds) Energy Efficient Data Centers. E2DC 2014. Lecture Notes in Computer Science(), vol 8945. Springer, Cham. https://doi.org/10.1007/978-3-319-15786-3_6
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DOI: https://doi.org/10.1007/978-3-319-15786-3_6
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