Scaling Energy Adaptive Applications for Sustainable Profitability

Fabien Hermenier (1) , Giovanni Giuliani (2) , Andrea Milani (3) , Sophie Demassey (4)

1 SCALE - Safe Composition of Autonomous applications with Large-SCALE Execution environment
2 HPE - Hewlett Packard Enterprise (Hewlett Packard)
3 Department of Mathematics
4 CMA - Centre de Mathématiques Appliquées

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.

Domaines: Sciences de l'environnement

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. pp.23-35, ⟨10.1007/978-3-319-64203-1_2⟩. ⟨hal-01550335⟩