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Placement optimisé de services dans les architectures fog computing et internet of things sous contraintes d'énergie, de QoS et de mobilité

Tanissia Djemai 1, 2
2 LAAS-SARA - Équipe Services et Architectures pour Réseaux Avancés
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : The advent of the Internet of Things (IoT) raises various issues, both in terms of the development and deployment of IoT applications in computing infrastructures. Cloud Computing is the most widespread computing infrastructure today. It is based on data centers that communicate with each other and with users via monolithic, inflexible network equipments. The importance of revising this schema has been highlighted in order to meet the challenges of an IoT environment that is heterogeneous, mobile and generates a large amount of data that requires rapid processing. The classic IoT model, in which IoT objects send information via their gateways to the Cloud, which then provides services to the applications, finds extensions in the Fog or Edge approach, which enables services to be brought closer to users by relying on intermediate computing and communication equipments between users and data centers. The Fog Computing architecture allows exploiting the computing and storage! capacities of the network infrastructure, in addition to that of the Cloud, for the deployment of IoT services and thus extending and bringing services closer to IoT objects. However, network equipments are heterogeneous and with low computing capacity, they cover a large geographical area and must cope with the mobility of IoT users. All this adds complexity to the problem of service placement and scheduling in order to optimize various parameters such as energy consumption, different costs related to placement and improving the applications quality of service requirements. The objective of our thesis is to propose IoT service placement strategies in a Fog infrastructure while taking into account the dynamic nature of the environment brought by user mobility, the energy cost of computing infrastructures and the QoS requirements of deployed applications.
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Submitted on : Wednesday, July 7, 2021 - 12:38:11 PM
Last modification on : Tuesday, October 19, 2021 - 11:18:03 PM
Long-term archiving on: : Friday, October 8, 2021 - 6:29:26 PM


Version validated by the jury (STAR)


  • HAL Id : tel-03280438, version 1


Tanissia Djemai. Placement optimisé de services dans les architectures fog computing et internet of things sous contraintes d'énergie, de QoS et de mobilité. Réseaux et télécommunications [cs.NI]. Université Paul Sabatier - Toulouse III, 2021. Français. ⟨NNT : 2021TOU30019⟩. ⟨tel-03280438⟩



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