Smart grid demand response strategies for datacenters.

Muraña, Jonathan - Nesmachnow, Sergio - Iturriaga, Santiago - Montes de Oca, Sebastián - Belcredi, Gonzalo - Monzón, Pablo - Shepelev, Vladimir - Tchernykh, Andrei

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.


Detalles Bibliográficos
2021
Smart grid
Computational intelligence
Demand response
rus
Universidad de la República
COLIBRI
https://ispranproceedings.elpub.ru/jour/article/view/1390#
https://hdl.handle.net/20.500.12008/27693
Acceso abierto
Licencia Creative Commons Atribución (CC - By 4.0)