Year: 2023
Type: conference-paper
Abstract: 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.
Institutions: Université des Sciences, des Techniques et des Technologies de Bamako, Institut de Recherche en Informatique et Systèmes Aléatoires, Université de Rennes, Université Gustave Eiffel, Laboratoire Bordelais de Recherche en Informatique, Institut Polytechnique de Bordeaux, Centre National de la Recherche Scientifique, CY Cergy Paris Université, Equipes Traitement de l'Information et Systèmes
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4393253992