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Título: | Negotiation approach for the participation of datacenters and supercomputing facilities in smart electricity markets. |
Autor: | Muraña, Jonathan Nesmachnow, Sergio Iturriaga, Santiago Montes de Oca, Sebastián Belcredi, Gonzalo Monzón, Pablo Shepelev, Vladimir Tchernykh, Andrei |
Tipo: | Preprint |
Palabras clave: | Smart grids, Demand response of datacenters, Auxiliary services |
Fecha de publicación: | 2020 |
Resumen: | This article presents an approach for the participation of datacenters and supercomputing facilities in smart electricity markets. This is a relevant problem in modern smart grid systems to implement demand response strategies for a better use of resources to guarantee energy efficiency. The proposed approach includes a datacenter model based on empirical information to determine the power consumption of CPU-intensive and memory-intensive tasks. A negotiation approach between the datacenter and its tenants and a heuristic planning method for energy reduction optimization are proposed. The experimental evaluation is performed over realistic problem instances modeling the operation of the National Supercomputing Center in Uruguay. The obtained results indicate that the proposed approach is effective to provide appropriate demand response actions according to monetary incentives. Accurate results are reported for realistic problem instances and different types of clients. |
Editorial: | Springer |
EN: | Programming and Computer Software, Vol. 46, Num. 8, pp. 636-651, Dec 2020. |
Financiadores: | Agencia Nacional de Investigación e Innovación FSE_1_2017_1_144789 |
Citación: | Muraña, J., Nesmachnow, S., Iturriaga, S. y otros. Negotiation approach for the participation of datacenters and supercomputing facilities in smart electricity markets. [Preprint]. EN: Programming and Computer Software, vol. 46, no 8, 2020, pp. 636-651. DOI: 10.1134/S0361768820080150 |
Aparece en las colecciones: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | ||
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MNIMBMST20.pdf | Preprint | 841,9 kB | Adobe PDF | Visualizar/Abrir |
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