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Model-based approach to data center design and power usage effectiveness assessment


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Ounifi, Hibat-Allah, Liu, Xu, Gherbi, Abdelouahed, Lemieux, Yves et Li, Wubin. 2018. « Model-based approach to data center design and power usage effectiveness assessment ». In The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) (Leuven, Belgium, Nov. 5-8, 2018) Coll. « Procedia Computer Science », vol. 141. pp. 143-150. Elsevier B.V..
Compte des citations dans Scopus : 4.

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Data Centers (DC) are complex systems, which provide an environment to host Information and Technologies (IT) equipment. DCs are typically composed of a variety of components including servers, storage systems, networking infrastructures in addition to non-IT equipment such as power distribution and cooling systems. In order for a DC to function properly, all of its components need to be correctly configured and integrated. However, the variety of configurations and the interdependencies of DC sub-systems create challenges in understanding and optimizing DC complexities. In this paper, we present a system modeling approach, which supports the design of DCs and a quantitative assessment of their energy efficiency. This modeling approach aims at controlling the design complexity of DC infrastructure and ensuring the consistency of such designs. The cornerstone of our approach is a generic DC metamodel (DCMM), which captures the DCs heterogeneous structure, main characteristics, and diverse constraints. Furthermore, we propose a method to generate a Power Flow Model (PFM) from an input DC model. The PFM is then used to compute the DC Power Usage Effectiveness (PUE) metric. We evaluate the applicability of our approach through a use case of the Consortium Laval-UQAM-McGill and Eastern Quebec (CLUMEQ) data center.

Item Type: Conference proceeding
ISBN: 18770509
Gherbi, Abdelouahed
Affiliation: Génie logiciel et des technologies de l'information
Date Deposited: 22 Jan 2019 15:25
Last Modified: 12 Jul 2019 20:15

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