Titre :	Resource Management Approach in Fog Computing
Type de document :	texte imprimé
Auteurs :	Imane Moukhtari, Auteur ; Sarra Cherbal, Directeur de thèse ; Rania Bakiri, Auteur
Année de publication :	2022
Importance :	1 vol (53 f .)
Format :	29cm
Langues :	Français (fre)
Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Fog Computing Resource Management
Index. décimale :	004 Informatique
Résumé :	Fog computing is a paradigm that offers real time processing and storage, and deals with the computational needs of IoT devices. However, the fact that fog computing is a resource constrain paradigm, raised the problem of managing its limited resources. Resource management in Fog computing is considered to be very sophisticated, owing to the fact that fog computing is a distributed computing platform with a large number of heterogeneous, dynamic and decentralized devices that serve as fog nodes with limited resources and high demands from IoT devices, along with specific criteria to respect, latency in real-time applications for instance. Therefore, we propose SJF/priority based scheduling algorithm, a deadline based module placement algorithm and the nearest fog allocation method. Beside the existing scheduling FCFS algorithm in iFogsim, we also implement our contribution on a smart parking case study using IFogsim simulation toolkit, along with implementing two recent related approaches that we reviewed. The results show that our proposed solution increases the efficiency in terms of Latency, Network usage and Cost along with reducing the Energy consumption.
Côte titre :	MAI/0646
En ligne :	https://drive.google.com/file/d/16b-MEvbzW0U8ENiVaLrAm5gwroJNz6wb/view?usp=share [...]
Format de la ressource électronique :	pdf

Resource Management Approach in Fog Computing [texte imprimé] / Imane Moukhtari, Auteur ; Sarra Cherbal, Directeur de thèse ; Rania Bakiri, Auteur . - 2022 . - 1 vol (53 f .) ; 29cm.
Langues : Français (fre)

Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Fog Computing Resource Management
Index. décimale :	004 Informatique
Résumé :	Fog computing is a paradigm that offers real time processing and storage, and deals with the computational needs of IoT devices. However, the fact that fog computing is a resource constrain paradigm, raised the problem of managing its limited resources. Resource management in Fog computing is considered to be very sophisticated, owing to the fact that fog computing is a distributed computing platform with a large number of heterogeneous, dynamic and decentralized devices that serve as fog nodes with limited resources and high demands from IoT devices, along with specific criteria to respect, latency in real-time applications for instance. Therefore, we propose SJF/priority based scheduling algorithm, a deadline based module placement algorithm and the nearest fog allocation method. Beside the existing scheduling FCFS algorithm in iFogsim, we also implement our contribution on a smart parking case study using IFogsim simulation toolkit, along with implementing two recent related approaches that we reviewed. The results show that our proposed solution increases the efficiency in terms of Latency, Network usage and Cost along with reducing the Energy consumption.
Côte titre :	MAI/0646
En ligne :	https://drive.google.com/file/d/16b-MEvbzW0U8ENiVaLrAm5gwroJNz6wb/view?usp=share [...]
Format de la ressource électronique :	pdf