ListarArtículos (Lenguajes y Sistemas Informáticos) por materia "Efficiency"
Mostrando ítems 1-7 de 7
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A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
(Springer Nature, 2023)Ensuring the optimal performance of power transformers is a laborious task in which the insulation system plays a vital ...
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Bullfighting extreme scenarios in efficient hyper-scale cluster computing
(Springer, 2020)Data centres are quickly evolving to support new demands for Cloud-Computing services. Extreme workload peaks represent ...
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Energy policies for data-center monolithic schedulers
(Elsevier, 2018)Cloud computing and data centers that support this paradigm are rapidly evolving in order to satisfy new demands. These ...
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Energy Saving Policies in Grid Computing and Smart Environments
(IOS Press, 2014)This work studies the problem of energy consumption growth in two spheres: Grid-Computing and Smart Environments. These ...
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Evaluating decision-making performance in a grid-computing environment using DEA
(Elsevier, 2012)Energy saving involves two direct benefits: sustainability and cost reduction, both of which Information Technologies ...
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PHILNet: A novel efficient approach for time series forecasting using deep learning
(ScienceDirect, 2023)Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior ...
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Smart scheduling for saving energy in grid computing
(Elsevier, 2012)Energy saving involves two direct benefits: sustainability and cost reduction. Within the field of Informa tion Technology, ...