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.File in questo prodotto:
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