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Communication Dans Un Congrès Année : 2023

Applying Fuzzy Logic to Efficiently Manage Shared Edge Infrastructure

Résumé

Edge Computing promise a bright future for Internet of Things (IoT). Edge Computing servers can be geographically distributed to be closer to users and ensure low latency communications and real-time data processing for the third-party applications using this infrastructure. However, user mobility and limited Edge servers capabilities (CPU, memory, bandwidth) may cause many services placement failures. That’s why in this article we propose a new strategy aimed at enabling a fair sharing of available Edge resources through a dynamic and real-time IoT Service placement. Our strategy uses Fuzzy Logic to enable 1) quick and low-cost deployment of the solution and 2) real-time modification of the policies defined by the Edge operator. It takes advantage, among others, of a microservice decomposition to optimize the use of the Edge architecture. Experiments demonstrate the benefits of our approach in terms of placement reliability, execution time and resources utilization.
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Dates et versions

hal-04521242 , version 1 (26-03-2024)

Identifiants

  • HAL Id : hal-04521242 , version 1

Citer

Tidiane Sylla, Mohamed Aymen Chalouf, Leo Mendiboure, Francine Krief, Hasnaâ Aniss, et al.. Applying Fuzzy Logic to Efficiently Manage Shared Edge Infrastructure. 31th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE-2023)), Dec 2023, Paris, France. ⟨hal-04521242⟩
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