Scaling Energy Adaptive Applications for Sustainable Profitability

Abstract : Energy efficiency in data centres is addressed through workload management usually to reduce the operational costs and as a by-product, the environmental footprint. This includes to minimise total power consumption or to minimise the power issued from non-renewable energy sources. Hence, the performance requirements of the client’s applications are either totally overlooked or strictly enforced. To encourage profitable sustainability in data centres, we consider the total financial gain as a trade-off between energy efficiency and client satisfaction. We propose Carver to orchestrate energy-adaptive applications, according to performance and environmental preferences and given forecasts of the renewable energy production. We validated Carver by simulating a testbed powered by the grid and a photovoltaic array and running the Web service HP LIFE.
Type de document :
Communication dans un congrès
Euro-Par 2017 - European Conference on Parallel Processing, Aug 2017, Santiago de Compostela, Spain. Springer, 10417, pp.23-35, 2017, Lecture Notes in Computer Science
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Contributeur : Amel Sahli <>
Soumis le : jeudi 29 juin 2017 - 14:58:13
Dernière modification le : vendredi 27 octobre 2017 - 17:34:02

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  • HAL Id : hal-01550335, version 1

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Fabien Hermenier, Giovanni Giuliani, Andrea Milani, Sophie Demassey. Scaling Energy Adaptive Applications for Sustainable Profitability. Euro-Par 2017 - European Conference on Parallel Processing, Aug 2017, Santiago de Compostela, Spain. Springer, 10417, pp.23-35, 2017, Lecture Notes in Computer Science. 〈hal-01550335〉

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