Data Center Analytics Platform for Efficient Power Usage

dc.contributor.authorAydemir, Fikri
dc.contributor.authorAcar, Züleyha Yılmaz
dc.contributor.authorBaşçiftci, Fatih
dc.date.accessioned2020-03-26T20:11:44Z
dc.date.available2020-03-26T20:11:44Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- 143560en_US
dc.description.abstractModern Data Centers (DCs) require large amount of power in order to operate their underlying IT infrastructure and the surrounding support systems, such as cooling systems and power conversion systems, due to the complex interdependencies among these support systems. This situation requires a strategy for using the power efficiently while operating a DC. In this study, we firstly propose a software system that serves as data storage for both real-time and offline sensor data about power usage in a DC. Secondly, we provide an analytical platform that uses state-of-the-art deep learning techniques to make predictive data analytics and custom recommendations to DC operators in order to improve power usage effectiveness (PUE) in a DC. The aimed improvement involves estimating the conditions for achieving a PUE rate of 1.03 within an error range of 0.4 percent. © 2018 IEEE.en_US
dc.identifier.doi10.1109/UBMK.2018.8566430en_US
dc.identifier.endpage66en_US
dc.identifier.isbn9.78154E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage61en_US
dc.identifier.urihttps://dx.doi.org/10.1109/UBMK.2018.8566430
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37183
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofUBMK 2018 - 3rd International Conference on Computer Science and Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAnalytical Platformen_US
dc.subjectData Centeren_US
dc.subjectDeep Learningen_US
dc.subjectPower Usage Effectivenessen_US
dc.subjectPredictive Data Analyticsen_US
dc.titleData Center Analytics Platform for Efficient Power Usageen_US
dc.typeConference Objecten_US

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