A Generic Architecture For Demand Response: The ALL4Green Approach

Basmadjian, Robert ; Lovasz, Gergo ; Beck, Michael ; Meer, Hermann de ; Hesselbach-Serra, Xavier ; Botero, Juan Felipe ; Klingert, Sonja ; Pérez Ortega, Maria ; Lopez, Juan Carlos ; Stam, Andries ; Krevelen, Rick van ; Di Girolamo, Marco

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DOI: https://doi.org/10.1109/CGC.2013.79
URL: https://ub-madoc.bib.uni-mannheim.de/35950
Additional URL: http://ieeexplore.ieee.org/document/6686071/?arnum...
URN: urn:nbn:de:bsz:180-madoc-359507
Document Type: Conference or workshop publication
Year of publication: 2013
Book title: 2013 IEEE Third International Conference on Cloud and Green Computing CGC 2013, 2013 IEEE Third International Conference on Social Computing and Its Applications SCA 2013 : proceedings ; 30 September – 2 October 2013 Karlsruhe, Germany
Page range: 464-471
Date of the conference: 30 Sept - 2 Oct 2013
Publisher: Bilof, Randall
Place of publication: Los Alamitos, Calif. [u.a.]
Publishing house: IEEE Computer Soc.
ISBN: 978-0-7695-5114-2
Publication language: English
Institution: School of Business Informatics and Mathematics > Software Engineering (Atkinson 2003-)
Subject: 004 Computer science, internet
600 Technology
Abstract: Demand Response is a mechanism used in power grids to manage customers’ power consumption during critical situations (e.g. power shortage). Data centres are good candidates to participate in Demand Response programs due to their high energy use. In this paper, we present a generic architecture to enable Demand Response between Energy Provider and Data Centres realised in All4Green. To this end, we show our three-level concept and then illustrate the building blocks of All4Green’s architectural design. Furthermore, we introduce the novel aspects of GreenSDA and GreenSLA for Energy Provider–Data centre sub-ecosystem as well as Data centre–IT Client sub-ecosystem respectively. In order to further reduce energy consumption and CO2 emission, the notion of data centre federation is introduced: savings can be expected if data centres start to collaborate by exchanging workload. Also, we specify the technological solutions necessary to implement our proposed architectural approach. Finally, we present preliminary proof-of-concept experiments, conducted both on traditional and cloud computing data centres, which show relatively encouraging results.

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