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Theses

Evaluating and modeling the energy impacts of data centers, in terms of hardware / software architecture and associated environment

Yewan Wang 1, 2
Abstract : For years, the energy consumption of the data center has dramatically increased followed by the explosion of demand in cloud computing. This thesis addresses the scientific challenge of energy modeling of a data center, based on the most important variables. With such modeling, an data center operator will be able to better reallocate / design the current / future data centers. In order to identify the energy impacts of hardware and software used in computer systems. In the first part of the thesis, to identify and characterize the uncertainties of energy consumption introduced by external elements: thermal effects, difference between identical processors caused by imperfect manufacturing process, precision problems resulting from power measurement tool, etc. We have completed this scientific study by developing a global power modeling for a given physical cluster, this cluster is composed by 48 identical servers and equipped with a direct expansion cooling system, conventionally used today for modern data centers. The modeling makes it possible to estimate the overall energy consumption of the cluster based on operational configurations and data relating to IT activity, such as ambient temperature, cooling system configurations and server load.
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Submitted on : Friday, September 25, 2020 - 7:58:09 AM
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  • HAL Id : tel-02948725, version 1

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Yewan Wang. Evaluating and modeling the energy impacts of data centers, in terms of hardware / software architecture and associated environment. Operating Systems [cs.OS]. Ecole nationale supérieure Mines-Télécom Atlantique, 2020. English. ⟨NNT : 2020IMTA0175⟩. ⟨tel-02948725⟩

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