Two level demand response planning for retail multi-tenant datacenters.
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.
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 |
id | COLIBRI_b57610c55e120736284bb73715e4051e |
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. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Demand responseComputational intelligencePlanning, DatacentersTwo level demand response planning for retail multi-tenant 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, PabloTchernykh, AndreiLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/26941/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/26941/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; 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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 |