Titre :	Mobility-aware service placement in the edge-cloud continuum
Type de document :	theses et memoires
Auteurs :	Imene Goucem ; Oukfif, Directeur de thèse
Editeur :	Tizi Ouzou : U.M.M.T.O. - F.G.E.I.
Année de publication :	2022
Importance :	72 p.
Présentation :	ill.
Format :	30 cm.
Note générale :	Bibliogr .
Langues :	Français
Mots-clés :	Mobility  Service placement  Cloud, edge  fog computing  iFogSim.
Résumé :	Nowadays, Internet of Things (IoT) is conquering our daily lives in all fields such as smart healthcare, smart cities, e-learning, gaming or even remote military training. That is what expands increasingly the number of connected devices and mainly the amount of data which is often processed in the cloud. However, the cloud computing induces several problems like higher costs and very consequent latency which affects the Quality of Experience (QoE) of the user. To that aim, the concept of the fog computing has been proposed to bring the services closer to the end devices. But, the problem is how to place services of those mobile users in fog / edge devices. Our contribution is the proposition of three service placement policies in the context of a mobile fog environment. The first one leads to combine two constraints while placing services; the distance between the mobile and the fog node in addition to load balancing. In he second one, we added a proximity filter to the precedent. And in the last one, we studied real network traces which conducted us to combine proximity and user mobility prediction based on habits. In general, our objective was to improve QoE by minimizing service migrations and thus maximizing availability by reducing downtime. In addition, we targeted to take into account resource availability of the fog devices. Our propositions have been successfully tested under the iFogSim simulation tool.
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Mobility-aware service placement in the edge-cloud continuum [theses et memoires] / Imene Goucem ; Oukfif, Directeur de thèse . - Tizi Ouzou (Tizi Ouzou) : U.M.M.T.O. - F.G.E.I., 2022 . - 72 p. : ill. ; 30 cm.
Bibliogr .
Langues : Français

Mots-clés :	Mobility  Service placement  Cloud, edge  fog computing  iFogSim.
Résumé :	Nowadays, Internet of Things (IoT) is conquering our daily lives in all fields such as smart healthcare, smart cities, e-learning, gaming or even remote military training. That is what expands increasingly the number of connected devices and mainly the amount of data which is often processed in the cloud. However, the cloud computing induces several problems like higher costs and very consequent latency which affects the Quality of Experience (QoE) of the user. To that aim, the concept of the fog computing has been proposed to bring the services closer to the end devices. But, the problem is how to place services of those mobile users in fog / edge devices. Our contribution is the proposition of three service placement policies in the context of a mobile fog environment. The first one leads to combine two constraints while placing services; the distance between the mobile and the fog node in addition to load balancing. In he second one, we added a proximity filter to the precedent. And in the last one, we studied real network traces which conducted us to combine proximity and user mobility prediction based on habits. In general, our objective was to improve QoE by minimizing service migrations and thus maximizing availability by reducing downtime. In addition, we targeted to take into account resource availability of the fog devices. Our propositions have been successfully tested under the iFogSim simulation tool.
En ligne :	D:\CD.THESE.2022\MASTER.INF\GOUCEM I..PDF
Format de la ressource électronique :	PDF
Permalink :	./index.php?lvl=notice_display&id=36814