1. Brunel University Research Archive
  2. College of Business, Arts and Social Sciences
  3. Brunel Business School
  4. Brunel Business School Research Papers
Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19978
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSuh, C-
dc.contributor.authorBahja, M-
dc.contributor.authorChoi, Y-
dc.contributor.authorNguyen, T-
dc.contributor.authorLee, H-
dc.date.accessioned2020-01-10T12:51:37Z-
dc.date.available2019-01-01-
dc.date.available2020-01-10T12:51:37Z-
dc.date.issued2019-07-31-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, 11685 LNCS pp. 205 - 214en_US
dc.identifier.isbn9783030273248-
dc.identifier.issn0302-9743-
dc.identifier.issnhttp://dx.doi.org/10.1007/978-3-030-27325-5_16-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/19978-
dc.format.extent205 - 214-
dc.language.isoenen_US
dc.subjectData centreen_US
dc.subjectOptimisationen_US
dc.subjectGreenDCen_US
dc.subjectDecision support systemen_US
dc.subjectSimulationen_US
dc.titleOptimising e-Government Data Centre Operations to Minimise Energy Consumption: A Simulation-Based Analytical Approachen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-030-27325-5_16-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
pubs.publication-statusPublished-
pubs.volume11685 LNCS-
dc.identifier.eissn1611-3349-
Appears in Collections:Brunel Business School Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfEmbargoed until 31-07-2020333.69 kBAdobe PDFView/Open
Show simple item record


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.