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)
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author Muraña, Jonathan
author2 Nesmachnow, Sergio
Iturriaga, Santiago
Montes de Oca, Sebastián
Belcredi, Gonzalo
Monzón, Pablo
Shepelev, Vladimir
Tchernykh, Andrei
author2_role author
author
author
author
author
author
author
author_facet Muraña, Jonathan
Nesmachnow, Sergio
Iturriaga, Santiago
Montes de Oca, Sebastián
Belcredi, Gonzalo
Monzón, Pablo
Shepelev, Vladimir
Tchernykh, Andrei
author_role author
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dc.contributor.filiacion.none.fl_str_mv Muraña Jonathan, Universidad de la República (Uruguay). Facultad de Ingeniería.
Nesmachnow Sergio, Universidad de la República (Uruguay). Facultad de Ingeniería.
Iturriaga Santiago, Universidad de la República (Uruguay). Facultad de Ingeniería.
Montes de Oca Sebastián, Universidad de la República (Uruguay). Facultad de Ingeniería.
Belcredi Gonzalo, Universidad de la República (Uruguay). Facultad de Ingeniería.
Monzón Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.
Shepelev Vladimir, South Ural State University
Tchernykh Andrei, Centro de Investigación Científica y de Educación Superior, Ivannikov Institute for System Programming of the Russian Academy of Sciences, South Ural State University
dc.creator.none.fl_str_mv Muraña, Jonathan
Nesmachnow, Sergio
Iturriaga, Santiago
Montes de Oca, Sebastián
Belcredi, Gonzalo
Monzón, Pablo
Shepelev, Vladimir
Tchernykh, Andrei
dc.date.accessioned.none.fl_str_mv 2021-05-13T14:52:20Z
dc.date.available.none.fl_str_mv 2021-05-13T14:52:20Z
dc.date.issued.none.fl_str_mv 2021
dc.description.abstract.none.fl_txt_mv 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.
dc.description.es.fl_txt_mv 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).
dc.format.extent.es.fl_str_mv 12 p.
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dc.identifier.citation.es.fl_str_mv Muraña, J., Nesmachnow, S., Iturriaga, S. y otros. Smart grid demand response strategies for datacenters. [Preprint]. EN : Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2021, vol. 33, no 2, p.125-136. DOI: 10.15514/ISPRAS-2021-33(2)-7. e-ISSN: 2220-6426.
dc.identifier.uri.none.fl_str_mv https://ispranproceedings.elpub.ru/jour/article/view/1390#
https://hdl.handle.net/20.500.12008/27693
dc.language.iso.none.fl_str_mv ru
rus
dc.publisher.es.fl_str_mv Institute for System Programming of the RAS
dc.relation.ispartof.es.fl_str_mv Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS), Volume 33, Number 2, p. 125-136, 2021
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.en.fl_str_mv Smart grid
Computational intelligence
Demand response
dc.title.none.fl_str_mv Smart grid demand response strategies for datacenters.
dc.type.es.fl_str_mv Preprint
dc.type.none.fl_str_mv info:eu-repo/semantics/preprint
dc.type.version.none.fl_str_mv info:eu-repo/semantics/submittedVersion
description 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).
eu_rights_str_mv openAccess
format preprint
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identifier_str_mv Muraña, J., Nesmachnow, S., Iturriaga, S. y otros. Smart grid demand response strategies for datacenters. [Preprint]. EN : Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2021, vol. 33, no 2, p.125-136. DOI: 10.15514/ISPRAS-2021-33(2)-7. e-ISSN: 2220-6426.
instacron_str Universidad de la República
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instname_str Universidad de la República
language rus
language_invalid_str_mv ru
network_acronym_str COLIBRI
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publishDate 2021
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
spelling Muraña Jonathan, Universidad de la República (Uruguay). Facultad de Ingeniería.Nesmachnow Sergio, Universidad de la República (Uruguay). Facultad de Ingeniería.Iturriaga Santiago, Universidad de la República (Uruguay). Facultad de Ingeniería.Montes de Oca Sebastián, Universidad de la República (Uruguay). Facultad de Ingeniería.Belcredi Gonzalo, Universidad de la República (Uruguay). Facultad de Ingeniería.Monzón Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.Shepelev Vladimir, South Ural State UniversityTchernykh Andrei, Centro de Investigación Científica y de Educación Superior, Ivannikov Institute for System Programming of the Russian Academy of Sciences, South Ural State University2021-05-13T14:52:20Z2021-05-13T14:52:20Z2021Muraña, J., Nesmachnow, S., Iturriaga, S. y otros. Smart grid demand response strategies for datacenters. [Preprint]. EN : Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2021, vol. 33, no 2, p.125-136. DOI: 10.15514/ISPRAS-2021-33(2)-7. e-ISSN: 2220-6426.https://ispranproceedings.elpub.ru/jour/article/view/1390#https://hdl.handle.net/20.500.12008/27693Agencias 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).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.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-05-12T19:25:34Z No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) MNIMBMST21.pdf: 343774 bytes, checksum: 32ce75cfe7094a57f9fd647fced3b055 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-05-13T14:50:38Z (GMT) No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) MNIMBMST21.pdf: 343774 bytes, checksum: 32ce75cfe7094a57f9fd647fced3b055 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2021-05-13T14:52:20Z (GMT). No. of bitstreams: 2 license_rdf: 19875 bytes, checksum: 9fdbed07f52437945402c4e70fa4773e (MD5) MNIMBMST21.pdf: 343774 bytes, checksum: 32ce75cfe7094a57f9fd647fced3b055 (MD5) Previous issue date: 202112 p.application/pdfrurusInstitute for System Programming of the RASProceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS), Volume 33, Number 2, p. 125-136, 2021Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)Smart gridComputational intelligenceDemand responseSmart grid demand response strategies for datacenters.Preprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaMuraña, JonathanNesmachnow, SergioIturriaga, SantiagoMontes de Oca, SebastiánBelcredi, GonzaloMonzón, PabloShepelev, VladimirTchernykh, AndreiLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/27693/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/27693/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse
spellingShingle Smart grid demand response strategies for datacenters.
Muraña, Jonathan
Smart grid
Computational intelligence
Demand response
status_str submittedVersion
title Smart grid demand response strategies for datacenters.
title_full Smart grid demand response strategies for datacenters.
title_fullStr Smart grid demand response strategies for datacenters.
title_full_unstemmed Smart grid demand response strategies for datacenters.
title_short Smart grid demand response strategies for datacenters.
title_sort Smart grid demand response strategies for datacenters.
topic Smart grid
Computational intelligence
Demand response
url https://ispranproceedings.elpub.ru/jour/article/view/1390#
https://hdl.handle.net/20.500.12008/27693

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