To reduce emerging carbon emissions in cloud computing, we proposed Amethyst, a new VM placement and migration strategy capable of adapting consumption to the currently available green energy. Amethyst tackles the problem on three fronts: it adjusts the consumption to energy production, optimizes execution on FPGA accelerators, and balances execution among servers. We evaluate the strategy with real workloads. Our simulations on CloudSim Plus show that Amethyst effectively reduces the carbon emissions of cloud computing and, compared to the state-of-the-art, it increases the energy efficiency.

Amethyst: Reducing Data Center Emissions With Dynamic Autotuning and VM Management

Tibaldi M.;Pilato C.
2025-01-01

Abstract

To reduce emerging carbon emissions in cloud computing, we proposed Amethyst, a new VM placement and migration strategy capable of adapting consumption to the currently available green energy. Amethyst tackles the problem on three fronts: it adjusts the consumption to energy production, optimizes execution on FPGA accelerators, and balances execution among servers. We evaluate the strategy with real workloads. Our simulations on CloudSim Plus show that Amethyst effectively reduces the carbon emissions of cloud computing and, compared to the state-of-the-art, it increases the energy efficiency.
2025
cloud computing
Energy efficiency
FPGAs
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1297706
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