Towards Extension of Data Centre Modelling Toolbox with Parameters Estimation

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorBerezovskaya, Yuliaen_US
dc.contributor.authorYang, Chen Weien_US
dc.contributor.authorVyatkin, Valeriyen_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.editorCamarinha-Matos, Luis M.en_US
dc.contributor.editorFerreira, Pedroen_US
dc.contributor.editorBrito, Guilhermeen_US
dc.contributor.groupauthorInformation Technologies in Industrial Automationen
dc.contributor.organizationLuleå University of Technologyen_US
dc.date.accessioned2021-12-01T07:52:46Z
dc.date.available2021-12-01T07:52:46Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2022-06-30en_US
dc.date.issued2021-07en_US
dc.descriptionFunding Information: This project has been funded by partners of the ERA-Net SES 2018 joint call RegSys (www.eranet-smartenergysystems.eu) ? a network of 30 national and regional RTD funding agencies of 23 European countries. As such, this project has received funding from the European Union?s Horizon 2020 research and innovation programme under grant agreement no. 775970. Publisher Copyright: © 2021, IFIP International Federation for Information Processing.
dc.description.abstractModern data centres consume a significant amount of electricity. Therefore, they require techniques for improving energy efficiency and reducing energy waste. The promising energy-saving methods are those, which adapt the system energy use based on resource requirements at run-time. These techniques require testing their performance, reliability and effect on power consumption in data centres. Generally, real data centres cannot be used as a test site because of such experiments may violate safety and security protocols. Therefore, examining the performance of different energy-saving strategies requires a model, which can replace the real data centre. The model is expected to accurately estimate the energy consumption of data centre components depending on their utilisation. This work presents a toolbox for data centre modelling. The toolbox is a set of building blocks representing individual components of a typical data centre. The paper concentrates on parameter estimation methods, which use data, collected from a real data centre and adjust parameters of building blocks so that the model represents the data centre most accurately. The paper also demonstrates the results of parameters estimation on an example of EDGE module of SICS ICE data centre located in Luleå, Sweden.en
dc.description.versionPeer revieweden
dc.format.extent8
dc.format.extent189-196
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationBerezovskaya, Y, Yang, C W & Vyatkin, V 2021, Towards Extension of Data Centre Modelling Toolbox with Parameters Estimation . in L M Camarinha-Matos, P Ferreira & G Brito (eds), Technological Innovation for Applied AI Systems : Proceedings of 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 . IFIP Advances in Information and Communication Technology, vol. 626, Springer, pp. 189-196, Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, Caparica, Portugal, 07/07/2021 . https://doi.org/10.1007/978-3-030-78288-7_18en
dc.identifier.doi10.1007/978-3-030-78288-7_18en_US
dc.identifier.isbn9783030782870
dc.identifier.isbn9783030782887
dc.identifier.issn1868-4238
dc.identifier.issn1868-422X
dc.identifier.otherPURE UUID: cfcf16a8-728d-4223-9844-b41119ece376en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/cfcf16a8-728d-4223-9844-b41119ece376en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85112024294&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/76335293/ELEC_Berezovskaya_etal_Towards_Extension_of_Data_Centre_Modelling_DoCEIS_2021.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/111395
dc.identifier.urnURN:NBN:fi:aalto-2021120110545
dc.language.isoenen
dc.relation.ispartofAdvanced Doctoral Conference on Computing, Electrical and Industrial Systemsen
dc.relation.ispartofseriesTechnological Innovation for Applied AI Systemsen
dc.relation.ispartofseriesIFIP Advances in Information and Communication Technologyen
dc.relation.ispartofseriesVolume 626en
dc.rightsopenAccessen
dc.subject.keywordData centreen_US
dc.subject.keywordMatlab/Simulinken_US
dc.subject.keywordModellingen_US
dc.subject.keywordParameter estimationen_US
dc.subject.keywordPower consumptionen_US
dc.titleTowards Extension of Data Centre Modelling Toolbox with Parameters Estimationen
dc.typeA4 Artikkeli konferenssijulkaisussafi
Files