Titre :	Selection of cloud services in MEC and UAV enabled networks
Type de document :	texte manuscrit
Auteurs :	Sarah Yasmine Brahimi, Auteur ; Fatna Mouffak, Auteur ; Fatima Zahra Bousbaa, Directeur de thèse ; Nasreddine Lagraa, Directeur de thèse
Editeur :	Laghouat : Université Amar Telidji - Département d'informatique
Année de publication :	2022
Importance :	52 p.
Format :	30 cm.
Accompagnement :	1 disque optique numérique (CD-ROM)
Note générale :	Option : Distributed networks, systems, and applications (Réseaux,systèmes et applications réparties )
Langues :	Anglais
Mots-clés :	UAVs  MEC  Selection of Services  IoT  Game Theory  GTCS-MU
Résumé :	Nowadays, Mobile Edge Computing (MEC) and Unmanned Aerial Vehicle (UAV) clouds attract a lot of attention of both academic and industrial research as a new paradigm providing flexible and elastic services. This paradigm utilizes the recent technologies of Mobile Cloud Computing (MCC) and Internet of things (IoT). The collaboration between these new technologies represents an impressive vision of the future, in which everything is connected to the Internet, using Fifth Generation (5G) technology that integrate the MEC server, which can provide instant computing applications with low latency and fast service response. In this work, the new cloud computing with MEC and UAV technology is studied, our main objectives are to (i) provide detailed classifcation of existing selection of services methods in UAV clouds and to (ii) propose a new technique Game Theory approach for Cloud Services in MEC and UAVs enabled networks (GTCS-MU) aiming to enable normal end user that he set a group of specifc features, limitations and prices selecting the most suitable UAV-Service-Provider. Given that every service’ provider is characterized by specifc features, limitations and prices, a user must select the most suitable provider. The technique of selection will be based on Game Theory (GT) and takes into account the user requirements and the UAV provider qualities to fnd the most adequate provider. The results of the simulation conducted using OMNet++ simulator and Inet framework advocate for the efciency and the good performance of our method that present in low latency at most 0.45s between the two scenarios, high successful execution ration that reach 100% with 50 Unmanned Aerial Vehicles (UAVs) and good management of energy consumption that could be in worst case 14.5% of lost.
note de thèses :	Mémoire de master en informatique

Selection of cloud services in MEC and UAV enabled networks [texte manuscrit] / Sarah Yasmine Brahimi, Auteur ; Fatna Mouffak, Auteur ; Fatima Zahra Bousbaa, Directeur de thèse ; Nasreddine Lagraa, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2022 . - 52 p. ; 30 cm. + 1 disque optique numérique (CD-ROM).
Option : Distributed networks, systems, and applications (Réseaux,systèmes et applications réparties )
Langues : Anglais

Mots-clés :	UAVs  MEC  Selection of Services  IoT  Game Theory  GTCS-MU
Résumé :	Nowadays, Mobile Edge Computing (MEC) and Unmanned Aerial Vehicle (UAV) clouds attract a lot of attention of both academic and industrial research as a new paradigm providing flexible and elastic services. This paradigm utilizes the recent technologies of Mobile Cloud Computing (MCC) and Internet of things (IoT). The collaboration between these new technologies represents an impressive vision of the future, in which everything is connected to the Internet, using Fifth Generation (5G) technology that integrate the MEC server, which can provide instant computing applications with low latency and fast service response. In this work, the new cloud computing with MEC and UAV technology is studied, our main objectives are to (i) provide detailed classifcation of existing selection of services methods in UAV clouds and to (ii) propose a new technique Game Theory approach for Cloud Services in MEC and UAVs enabled networks (GTCS-MU) aiming to enable normal end user that he set a group of specifc features, limitations and prices selecting the most suitable UAV-Service-Provider. Given that every service’ provider is characterized by specifc features, limitations and prices, a user must select the most suitable provider. The technique of selection will be based on Game Theory (GT) and takes into account the user requirements and the UAV provider qualities to fnd the most adequate provider. The results of the simulation conducted using OMNet++ simulator and Inet framework advocate for the efciency and the good performance of our method that present in low latency at most 0.45s between the two scenarios, high successful execution ration that reach 100% with 50 Unmanned Aerial Vehicles (UAVs) and good management of energy consumption that could be in worst case 14.5% of lost.
note de thèses :	Mémoire de master en informatique