Preview

Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS)

Advanced search

Smart grid demand response strategies for datacenters

https://doi.org/10.15514/ISPRAS-2021-33(2)-7

Abstract

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.

About the Authors

Jonathan MURAÑA-SILVERA
Universidad de la Republica
Uruguay

M.Sc. in Computer Science, Researcher Assistant



Sergio Enrique NESMACHNOW-CÁNOVAS
Universidad de la Republica, South Ural State University
Uruguay

Ph.D. in Computer Sciences, Full Professor and Researcher



Santiago Damián ITURRIAGA-FABRA
Universidad de la Republica
Uruguay

Ph.D. in Computer Sciences, Adjunct Professor



Sebastián MONTES DE OCA
Universidad de la Republica
Uruguay

M.Sc. in Electrical Engineering, Researcher Assistant



Gonzalo BELCREDI
Universidad de la Republica
Uruguay

Electrical Engineer, Assistant



Pablo Ariel MONZÓN-RANGELOFF
Universidad de la Republica
Uruguay

Ph.D. in Electrical Engineering, Chief of the Systems and Control Department



Vladimir Dmitrievitch SHEPELEV
South Ural State University
Russian Federation

PhD, Associate Professor



Andrei Nikolaevitch TCHERNYKH
Centro de Investigación Científica y de Educación Superior, Ivannikov Institute for System Programming of the Russian Academy of Sciences, South Ural State University
Mexico

PhD,  Full Professor at CICESE



References

1. J. Momoh. Smart Grid: Fundamentals of Design and Analysis. Wiley-IEEE Press, 2012, 232 p.

2. J. Muraña, S. Nesmachnow, S. Iturriaga, S. Montes de Oca, G. Belcredi, P. Monzón, V. Shepelev, A. Tchernykh. Negotiation approach for the participation of datacenters and supercomputing facilities in smart electricity markets. Programming and Computer Software, vol. 46, no. 8, 2020, pp. 636–651.

3. N. Parikh and S. Boyd. Proximal Algorithms. In: Foundations and Trends in Optimization, vol. 1, issue 3, 2014, pp. 127-239.

4. J. Muraña, S. Nesmachnow, F. Armenta, and A. Tchernykh. Characterization, modeling and scheduling of power consumption of scientific computing applications in multicores. Cluster Computing, vol. 22, no.3, 2019, pp. 839-859.

5. S. Nesmachnow and S. Iturriaga. Cluster-UY: Collaborative Scientific High Performance Computing in Uruguay. Communications in Computer and Information Science, vol. 1151. 2019, pp. 188-202.


Review

For citations:


MURAÑA-SILVERA J., NESMACHNOW-CÁNOVAS S., ITURRIAGA-FABRA S., MONTES DE OCA S., BELCREDI G., MONZÓN-RANGELOFF P., SHEPELEV V.D., TCHERNYKH A.N. Smart grid demand response strategies for datacenters. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2021;33(2):125-136. (In Russ.) https://doi.org/10.15514/ISPRAS-2021-33(2)-7



Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2079-8156 (Print)
ISSN 2220-6426 (Online)