Smart grid demand response strategies for datacenters.
Resumen:
This article presents demand response techniques for the participation of datacenters in smart electricity markets under the smart grid paradigm. 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 clients and a heuristic planning method for energy reduction optimization are proposed. The experimental evaluation is performed over realistic problem instances modeling different types of clients. Results indicate that the proposed approach is effective to provide appropriate demand response actions according to monetary incentives.
| 2021 | |
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Smart grid Computational intelligence Demand response |
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| rus | |
| Universidad de la República | |
| COLIBRI | |
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https://ispranproceedings.elpub.ru/jour/article/view/1390#
https://hdl.handle.net/20.500.12008/27693 |
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| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| Sumario: | Agencias de apoyo: El trabajo cuenta con el apoyo parcial de la Agencia Nacional de Investigación e Innovación (FSE_2017_1_144789). El trabajo de S. Nesmachnow y S. Iturriaga ha sido financiado en parte por ANII y PEDECIBA, Uruguay. Los autores también quieren agradecer al Centro Nacional de Supercomputación (Cluster.Uy). |
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