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Scalable end-to-end models for the time and energy performance of Fog infrastructures

Abstract : Fog Computing designates the migration of the computing and storage resources of the Cloud towards the edge of thenetwork. This resources migration allows to reduce the user’s nodes latency to answer to the evolution of the Internet usages. In parallel, the number of terminal is increasing with the development of the Internet Of Things. This infrastructures growth leads to an increase of the global energy consumption related to network infrastructures. However, this energy consumption is distributed and involved many actors such as: connected objects, local network, Internet Service Providers, Fog and Cloud infrastructures. Thus, it is difficult to study the impact of the connected objects growth on the infrastructures that composed the Internet of Things. The goal of this thesis is to propose models to study the energy consumption of large-scale Fog infrastructures in an efficient and reproducible manner. The proposed models have been integrated in the SimGrid simulation framework in order to be validated and spread.
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Submitted on : Wednesday, February 10, 2021 - 12:08:40 PM
Last modification on : Friday, May 6, 2022 - 3:41:58 PM


Version validated by the jury (STAR)


  • HAL Id : tel-03134046, version 3


Loic Guegan. Scalable end-to-end models for the time and energy performance of Fog infrastructures. Other [cs.OH]. École normale supérieure de Rennes, 2021. English. ⟨NNT : 2021ENSR0025⟩. ⟨tel-03134046v3⟩



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