Two level demand response planning for retail multi-tenant datacenters.

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

Resumen:

This article presents a two level planning approach for the participation of datacenters in the electricity market, by providing appropriate actions to demand response events, a relevant issue to contribute to the smart grid paradigm. A planning strategy is proposed for retail collocation datacenters, considering their heterogeneity. A negotiation is applied at the datacenter level and scheduling heuristics are used at the tenants level. Three heuristics are evaluated, accounting for different features of tasks submitted for execution. The proposed approach is evaluated considering realistic infrastructures (servers and air conditioning system) and workloads. The main results suggest that the proposed approach provides appropriate plannings for demand response events, significantly improving over Business-as-Usual operation and when there is not electricity load shedding. The Nash+PL heuristic computed the best results regarding cost while accounting for appropriate quality of service.


Detalles Bibliográficos
2021
Agencia Nacional de Investigación e Innovación FSE_1_2017_1_144789
Demand response
Computational intelligence
Planning, Datacenters
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/26941
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Muraña, Jonathan
author2 Nesmachnow, Sergio
Iturriaga, Santiago
Montes de Oca, Sebastián
Belcredi, Gonzalo
Monzón, Pablo
Tchernykh, Andrei
author2_role author
author
author
author
author
author
author_facet Muraña, Jonathan
Nesmachnow, Sergio
Iturriaga, Santiago
Montes de Oca, Sebastián
Belcredi, Gonzalo
Monzón, Pablo
Tchernykh, Andrei
author_role author
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collection COLIBRI
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.
Tchernykh Andrei, CICESE Research Center
dc.creator.none.fl_str_mv Muraña, Jonathan
Nesmachnow, Sergio
Iturriaga, Santiago
Montes de Oca, Sebastián
Belcredi, Gonzalo
Monzón, Pablo
Tchernykh, Andrei
dc.date.accessioned.none.fl_str_mv 2021-04-05T17:07:46Z
dc.date.available.none.fl_str_mv 2021-04-05T17:07:46Z
dc.date.issued.none.fl_str_mv 2021
dc.description.abstract.none.fl_txt_mv This article presents a two level planning approach for the participation of datacenters in the electricity market, by providing appropriate actions to demand response events, a relevant issue to contribute to the smart grid paradigm. A planning strategy is proposed for retail collocation datacenters, considering their heterogeneity. A negotiation is applied at the datacenter level and scheduling heuristics are used at the tenants level. Three heuristics are evaluated, accounting for different features of tasks submitted for execution. The proposed approach is evaluated considering realistic infrastructures (servers and air conditioning system) and workloads. The main results suggest that the proposed approach provides appropriate plannings for demand response events, significantly improving over Business-as-Usual operation and when there is not electricity load shedding. The Nash+PL heuristic computed the best results regarding cost while accounting for appropriate quality of service.
dc.description.sponsorship.none.fl_txt_mv Agencia Nacional de Investigación e Innovación FSE_1_2017_1_144789
dc.format.extent.es.fl_str_mv 8 p.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Muraña, J., Nesmachnow, S., Iturriaga, S. y otros. Two level demand response planning for retail multi-tenant datacenters. [Preprint]. EN : The 2020 International Conference on High Performance Computing & Simulation (HPCS 2020). International Symposium on Cloud Computing and Services for High Performance Computing Systems (InterCloud-HPC 2020), Barcelona, Spain, 22-27 mar 2021, pp. 1-8.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/26941
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.en.fl_str_mv HPCS Conference
dc.relation.ispartof.en.fl_str_mv The 2020 International Conference on High Performance Computing & Simulation (HPCS 2020). International Symposium on Cloud Computing and Services for High Performance Computing Systems (InterCloud-HPC 2020), Barcelona, Spain, 22-27 mar 2021, pp. 1-8-
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 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 Demand response
Computational intelligence
Planning, Datacenters
dc.title.none.fl_str_mv Two level demand response planning for retail multi-tenant datacenters.
dc.type.en.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 This article presents a two level planning approach for the participation of datacenters in the electricity market, by providing appropriate actions to demand response events, a relevant issue to contribute to the smart grid paradigm. A planning strategy is proposed for retail collocation datacenters, considering their heterogeneity. A negotiation is applied at the datacenter level and scheduling heuristics are used at the tenants level. Three heuristics are evaluated, accounting for different features of tasks submitted for execution. The proposed approach is evaluated considering realistic infrastructures (servers and air conditioning system) and workloads. The main results suggest that the proposed approach provides appropriate plannings for demand response events, significantly improving over Business-as-Usual operation and when there is not electricity load shedding. The Nash+PL heuristic computed the best results regarding cost while accounting for appropriate quality of service.
eu_rights_str_mv openAccess
format preprint
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identifier_str_mv Muraña, J., Nesmachnow, S., Iturriaga, S. y otros. Two level demand response planning for retail multi-tenant datacenters. [Preprint]. EN : The 2020 International Conference on High Performance Computing & Simulation (HPCS 2020). International Symposium on Cloud Computing and Services for High Performance Computing Systems (InterCloud-HPC 2020), Barcelona, Spain, 22-27 mar 2021, pp. 1-8.
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
network_name_str COLIBRI
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/26941
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 - No Comercial - Sin Derivadas (CC - By-NC-ND 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.Tchernykh Andrei, CICESE Research Center2021-04-05T17:07:46Z2021-04-05T17:07:46Z2021Muraña, J., Nesmachnow, S., Iturriaga, S. y otros. Two level demand response planning for retail multi-tenant datacenters. [Preprint]. EN : The 2020 International Conference on High Performance Computing & Simulation (HPCS 2020). International Symposium on Cloud Computing and Services for High Performance Computing Systems (InterCloud-HPC 2020), Barcelona, Spain, 22-27 mar 2021, pp. 1-8.https://hdl.handle.net/20.500.12008/26941This article presents a two level planning approach for the participation of datacenters in the electricity market, by providing appropriate actions to demand response events, a relevant issue to contribute to the smart grid paradigm. A planning strategy is proposed for retail collocation datacenters, considering their heterogeneity. A negotiation is applied at the datacenter level and scheduling heuristics are used at the tenants level. Three heuristics are evaluated, accounting for different features of tasks submitted for execution. The proposed approach is evaluated considering realistic infrastructures (servers and air conditioning system) and workloads. The main results suggest that the proposed approach provides appropriate plannings for demand response events, significantly improving over Business-as-Usual operation and when there is not electricity load shedding. The Nash+PL heuristic computed the best results regarding cost while accounting for appropriate quality of service.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-04-03T04:06:55Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MNIMBMT21.pdf: 366600 bytes, checksum: 123b16011edcd3463fcc6c7bd4ada53d (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-04-05T16:28:46Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MNIMBMT21.pdf: 366600 bytes, checksum: 123b16011edcd3463fcc6c7bd4ada53d (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@fic.edu.uy) on 2021-04-05T17:07:46Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MNIMBMT21.pdf: 366600 bytes, checksum: 123b16011edcd3463fcc6c7bd4ada53d (MD5) Previous issue date: 2021Agencia Nacional de Investigación e Innovación FSE_1_2017_1_1447898 p.application/pdfenengHPCS ConferenceThe 2020 International Conference on High Performance Computing & Simulation (HPCS 2020). International Symposium on Cloud Computing and Services for High Performance Computing Systems (InterCloud-HPC 2020), Barcelona, Spain, 22-27 mar 2021, pp. 1-8-Las 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. 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- Universidad de la Repúblicafalse
spellingShingle Two level demand response planning for retail multi-tenant datacenters.
Muraña, Jonathan
Demand response
Computational intelligence
Planning, Datacenters
status_str submittedVersion
title Two level demand response planning for retail multi-tenant datacenters.
title_full Two level demand response planning for retail multi-tenant datacenters.
title_fullStr Two level demand response planning for retail multi-tenant datacenters.
title_full_unstemmed Two level demand response planning for retail multi-tenant datacenters.
title_short Two level demand response planning for retail multi-tenant datacenters.
title_sort Two level demand response planning for retail multi-tenant datacenters.
topic Demand response
Computational intelligence
Planning, Datacenters
url https://hdl.handle.net/20.500.12008/26941