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Dissertations / Theses on the topic 'Fog Computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Bozios, Athanasios. "Fog Computing : Architecture and Security aspects." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80178.

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As the number of Internet of Things (IoT) devices that are used daily is increasing, the inadequacy of cloud computing to provide neseccary IoT-related features, such as low latency, geographic distribution and location awareness, is becoming more evident. Fog computing is introduced as a new computing paradigm, in order to solve this problem by extending the cloud‟s storage and computing resources to the network edge. However, the introduction of this new paradigm is also confronted by various security threats and challenges since the security practices that are implemented in cloud computing

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2

Rahafrouz, Amir. "Distributed Orchestration Framework for Fog Computing." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-77118.

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The rise of IoT-based system is making an impact on our daily lives and environment. Fog Computing is a paradigm to utilize IoT data and process them at the first hop of access network instead of distant clouds, and it is going to bring promising applications for us. A mature framework for fog computing still lacks until today. In this study, we propose an approach for monitoring fog nodes in a distributed system using the FogFlow framework. We extend the functionality of FogFlow by adding the monitoring capability of Docker containers using cAdvisor. We use Prometheus for collecting distribut

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3

Grandi, Stefano. "Sviluppo di Servizi Android per applicazioni Fog Computing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Il Cloud Computing è stata la risposta alla crescente domanda di capacità di calcolo, di memorizzazione di dati e di flessibilità nel loro approvvigionamento. Ma se da un lato il Cloud ha permesso di sopperire alle limitazioni hardware a cui i dispositivi utente sono sottoposti, questo nuovo paradigma soffre inevitabilmente di quelle che sono le latenze dovute allo scambio di informazioni attraverso Internet. Inoltre la rete Internet, già messa a dura prova dal continuo e crescente traffico dati, non ha beneficiato dell'utilizzo del paradigma Cloud e teme quello che si appresta a diventare di

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4

Valieri, Mario. "Dynamic Resource and Service Discovery in Fog Computing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22265/.

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The cloud computing is already a well-known paradigm, known and used in both business and consumers areas. It provides a lot of advantages, but today the necessity of data security and low latency is rapidly increasing. Nowadays, in next generation networks (NGN), the fog computing paradigm is able to satisfy strict latency and security requirements using distributed computational power. In a dynamic fog orchestration scenario, the discovery of available resources and services is a fundamental aspect to achieve a good quality system. This thesis is focused on the study and comparison of servi

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Machado, Miguel Chagas Bilhau. "Monitoring system based on fog computing." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23462.

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Mestrado em Engenharia de Computadores e Telemática<br>This thesis is a contribution of an architectural solution, describing a system that represents an extra layer of computing power, placed between the cloud and sensor networks, acting both as a mediator whose central task is to manage, monitor and collect data from geographically-located groups of sensor nodes and as a communication hub to the cloud with which data is exchanged in a compact and minimalist fashion. The latter is accomplished by designing nodes as autonomous entities, able to organise themselves in smaller groups, within th

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6

Mebrek, Adila. "Fog Computing pour l’Internet des objets." Thesis, Troyes, 2020. http://www.theses.fr/2020TROY0028.

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Le Fog Computing constitue une approche prometteuse dans le contexte de l’Internet des Objets (IoT) car il fournit des fonctionnalités et des ressources à l’extrémité du réseau, plus près des utilisateurs finaux. Cette thèse étudie les performances du Fog Computing dans le cadre des applications IoT sensibles à la latence. La première problématique traitée concerne la modélisation mathématique d’un système IoT-fog-cloud, ainsi que les métriques de performances du système en termes d’énergie consommée et de latence. Cette modélisation nous permettra par la suite de proposer diverses stratégies

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7

Huang, Chih-Kai. "Scalability of public geo-distributed fog computing federations." Electronic Thesis or Diss., Université de Rennes (2023-....), 2024. http://www.theses.fr/2024URENS055.

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Construire une plateforme de fog computing publique, géo-distribuée, multi-tenant et à grande échelle, où n'importe quelle application peut être déployée, nécessite un grand nombre de ressources de calcul placées à différents endroits stratégiques couvrant un pays entier ou même un continent. L'un des défis pour réaliser cette plateforme publique de fog est la scalabilité. À cette fin, cette thèse se concentre sur la résolution de certains défis liés à l'évolutivité et propose une série de solutions. Tout d'abord, nous présentons le concept de méta-fédérations, où de nombreux fournisseurs de r

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8

Butterfield, Ellis H. "Fog Computing with Go: A Comparative Study." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1348.

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The Internet of Things is a recent computing paradigm, de- fined by networks of highly connected things – sensors, actuators and smart objects – communicating across networks of homes, buildings, vehicles, and even people. The Internet of Things brings with it a host of new problems, from managing security on constrained devices to processing never before seen amounts of data. While cloud computing might be able to keep up with current data processing and computational demands, it is unclear whether it can be extended to the requirements brought forth by Internet of Things. Fog computing provi

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9

Struhar, Vaclav. "Improving Soft Real-time Performance of Fog Computing." Licentiate thesis, Mälardalens högskola, Inbyggda system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55679.

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Fog computing is a distributed computing paradigm that brings data processing from remote cloud data centers into the vicinity of the edge of the network. The computation is performed closer to the source of the data, and thus it decreases the time unpredictability of cloud computing that stems from (i) the computation in shared multi-tenant remote data centers, and (ii) long distance data transfers between the source of the data and the data centers. The computation in fog computing provides fast response times and enables latency sensitive applications. However, industrial systems require ti

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10

Civolani, Lorenzo. "Fast Docker Container Deployment in Fog Computing infrastructures." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17701/.

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I contenitori software, meglio noti come container, realizzano ambienti virtuali in cui molteplici applicazioni possono eseguire senza il rischio di interferire fra di loro. L'efficienza e la semplicità dell'approccio hanno contribuito al forte incremento della popolarità dei contaier, e, tra le varie implementazioni disponibili, Docker è di gran lunga quella più diffusa. Sfortunatamente, a causa delle loro grandi dimensioni, il processo di deployment di un container da un registro remoto verso una macchina in locale tende a richiedere tempi lunghi. La lentezza di questa operazione è partic

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11

Meskine, Mohamed. "Vehicular Fog/Edge Computing to improve dependability and performance." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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We have more and more objects connected to the network. These objects need local information increasingly. This means that cloud computing is not suitable in some applications. This is also due to the high latency that it presents. The thesis is focused on the vehicular field. In the presented appli- cation, we will use fog computing and 5G. These two technologies are important to guarantee a good performance. This is important because thanks to that we can avoid an accident. The application is to provide that the user will be able to see the vehicles within a radius of 100 meters. The vehic

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12

Fahs, Ali Jawad. "Proximity-aware replicas management in geo-distributed fog computing platforms." Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S076.

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L'architecture géo-distribuée de fog computing fournit aux utilisateurs des ressources accessibles avec une faible latence. Cependant, exploiter pleinement cette architecture nécessite une distribution similaire de l'application par l'utilisation de techniques de réplication. Par conséquent, la gestion de ces répliques doit intégrer des algorithmes prenant en compte la proximité aux différents niveaux de gestion des ressources du système. Dans cette thèse, nous avons abordé ce problème à travers trois contributions. Premièrement, nous avons conçu un système de routage des requêtes entre les ut

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13

Khan, Kafeel Ahmed. "Web-based Management of Fog Computing Services implemented in Docker." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18934/.

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The aim and motivation of this thesis project is to introduce the implementation of the Fog computing scenario. For possible demonstration, we use the feasible or concur solution already deployed in the cloud computing paradigm. An emerging trend of IoT in the current era required more development in cloud computing due to the centralized control of resources that is no-more beneficial in the IoT base scenario. A distributed base approach called Fog computing is introduced that manages the services without being the use of a centralized pool of cloud. Although, Fog cannot fully function withou

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14

Bhal, Siddharth. "Fog computing for robotics system with adaptive task allocation." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78723.

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The evolution of cloud computing has finally started to affect robotics. Indeed, there have been several real-time cloud applications making their way into robotics as of late. Inherent benefits of cloud robotics include providing virtually infinite computational power and enabling collaboration of a multitude of connected devices. However, its drawbacks include higher latency and overall higher energy consumption. Moreover, local devices in proximity incur higher latency when communicating among themselves via the cloud. At the same time, the cloud is a single point of failure in the network

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15

POLTRONIERI, Filippo. "Value-of-Information Middlewares for Fog and Edge Computing." Doctoral thesis, Università degli studi di Ferrara, 2021. http://hdl.handle.net/11392/2488252.

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Fog and Edge Computing aim to deliver low-latency, immersive, and powerful services by processing information close to both devices and users. This is well suited for IoT applications in Smart City, where IoT gateways, Cloudlets, Base Stations, and other computational nodes can process (part of) the data generated by the multitude of IoT sensors directly at the edge of the network. However, the implementation of Fog and Edge Computing is challenging because it requires to deal with a (limited number of) constrained devices, dynamic services' requirements, and heterogeneous network conditions.

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Ahlcrona, Felix. "Sakernas Internet : En studie om vehicular fog computing påverkan i trafiken." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15713.

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Framtidens fordon kommer vara väldigt annorlunda jämfört med dagens fordon. Stor del av förändringen kommer ske med hjälp av IoT. Världen kommer bli oerhört uppkopplat, sensorer kommer kunna ta fram data som de flesta av oss inte ens visste fanns. Mer data betyder även mer problem. Enorma mängder data kommer genereras och distribueras av framtidens IoT-enheter och denna data behöver analyseras och lagras på effektiva sätt med hjälp av Big data principer. Fog computing är en utveckling av Cloud tekniken som föreslås som en lösning på många av de problem IoT lider utav. Är tradionella lagringsmö

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17

Ahmed, Arif. "Efficient cloud application deployment in distributed fog infrastructures." Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S004.

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Les architectures Fog computing sont composées d'un grand nombre de machines dispersées dans une zone géographique telle qu'une ville ou une région. Dans ce contexte il est important de permettre un démarrage rapide des applications déployées sous forme de containers Docker. Cette thèse étudie les raisons de la lenteur de déploiement, et identifie trois opportunités susceptibles de réduire le temps de déploiement des conteneurs: (1) améliorer le taux de réussite du cache Docker; (2) accélérer l'opération d'installation d'une image; et (3) accélérer le processus de démarrage après la création d

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18

Jalew, Esubalew Alemneh. "Fog Computing based traffic Safety for Connected Vulnerable Road Users." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK057/document.

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Chaque année, des millions de personnes meurent et beaucoup d'autres subissent des séquelles graves à la suite d'accidents de la route. Malgré une multitude d’initiatives, le nombre de cas mortels et d'accidents graves augmente chaque année en engendrant des problèmes préoccupants à la fois sociaux, économiques et sanitaires. En raison de leur nombre élevé et de l'absence de protection personnelle, plus de la moitié de ces décès concerne les usagers vulnérables (en anglais, vulnerable road users - VRU) regroupant les piétons, cyclistes et motocyclistes. Les appareils mobiles, combinés à la tec

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19

Holm, Rasmus. "The fog-unit : Evaluation of the fog-unit’s effect on network performance." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34048.

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Today at various locations and factories we have a lot of sensors and actuators that interact with each other and a control-unit. The control-unit is in most cases a cloud-based solution. This is in most cases a good solution. However, there is a rise in expected devices and sensors which will most likely be too much data for the existing network to handle. This paper researches if a fog-unit might be the solution to this problem. The setup of the fog-unit in the network is a unit between the cloud and the sensors and actuators. In this paper the fog-unit and sensors/actuators have been emulat

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Segura, Danilo Costa Marim. "Integrando grades móveis em uma arquitetura orientada a serviços." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-13122016-095843/.

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O aumento no número de dispositivos móveis, como smartphones, tablets e laptops, e o avanço em seu potencial computacional permitiu considerá-los como recursos computacionais. O uso de recursos computacionais com maior proximidade vem crescendo ano após ano, sendo chamado de Fog computing, em que os elementos na borda da Internet são explorados, uma vez que os serviços computacionais convencionais podem estar indisponíveis ou sobrecarregados. Dessa forma, este projeto de Mestrado tem como foco possibilitar o uso de dispositivos móveis no provimento de serviços computacionais entre si de forma

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Shirin, Abkenar Forough. "Towards Hyper-efficient IoT Networks Using Fog Paradigm." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28951.

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Fog computing was emerged as a treasured paradigm to improve the efficiency of the typical cloud of things (CoT) architecture of the Internet of Things (IoT) networks. Contrasting to the CoT in which the resource-rich high-performance data centers (DCs) are located far from the energy-constrained terminal nodes (TNs), fog nodes (FNs) in fog-enabled architecture provide computing resources in the proximity of the TNs. Therefore, the TNs consume less energy to offload their generated tasks to the FNs rather than the cloud DCs. Moreover, shortening the distance between the TNs and the FNs results

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Zaripov, Behruz. "Analysis of Fog Networking Procedures in Heterogeneous Wireless Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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The purpose of this study is to provide a general framework of the latest trends of mobile network architectures. The two main architectures treated in this work are Cloud-RAN and Fog-RAN. We give descriptions of both architectures, then show advantages and disadvantages of them. We mainly focus on the performance of Fog-RAN model taking into account only computation and communication latencies. In order to analyse our Fog-RAN architecture, we measure the impact of traffic produced in our network, by using 3 different policies: Random Policy, Maximum Available Capacity Policy and Nearest Node

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Sellami, Youssef. "Secure data management in an IoT-Fog/Edge computing architecture." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. https://ged.uphf.fr/nuxeo/site/esupversions/14bb8a1d-7fbb-4d10-a7e7-99650617c232.

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L'internet des objets vise à intégrer les mondes physique et numérique dans un écosystème unique en interconnectant un grand nombre d'objets intelligents (capteurs, smartphones, véhicules autonomes, etc.) à l'internet. Cependant, la quantité massive de données est l'une des conséquences inévitables de la croissance du nombre d'objets connectés. L'évolution de l'IoT et de ses applications dans les années à venir (industrie 4.0, villes intelligentes) nécessite une gestion des données adaptée aux capacités limitées des objets connectés. De nouveaux paradigmes de traitement et de communication, te

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Xia, Ye. "Combining Heuristics for Optimizing and Scaling the Placement of IoT Applications in the Fog." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM084/document.

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Alors que l’informatique en brouillard amène les ressources de traitement et de stockage à la périphérie du réseau, il existe un besoin croissant de placement automatisé (c.-à-d. La sélection de l'hôte) pour déployer des applications distribuées. Un tel placement doit être conforme aux besoins en ressources des applications dans une infrastructure de brouillard hétérogène et dynamique, et traiter la complexité apportée par les applications Internet des objets (IoT) liées aux capteurs / actionneurs. Cette thèse présente un modèle, une fonction objective et des heuristiques pour résoudre le prob

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Guardo, Ermanno Lorenzo. "Edge Computing: challenges, solutions and architectures arising from the integration of Cloud Computing with Internet of Things." Doctoral thesis, Università di Catania, 2018. http://hdl.handle.net/10761/3908.

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The rapid spread of the Internet of Things (IoT) is causing the exponential growth of objects connected to the network, in fact, according to estimates, in 2020 there will be about 3/4 devices per person totaling of over 20 billion connected devices. Therefore, the use of content that requires intensive bandwidth consumption is growing. In order to meet these growing needs, the computing power and storage space are transferred to the network edge to reduce the network latency and increase the bandwidth availability. Edge computing allows to approach high-bandwidth content and sensitive apps to

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Bida, Mihail. "Tecniche di Drift Detection basate su Fog Computing per Scenari Industria 4.0." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23020/.

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Uno dei concetti più interessanti di Industria 4.0, quella che oggi viene intesa come quarta rivoluzione industriale, è il Digital Twin (gemello digitale), basato sull'idea che ogni parte fisica debba avere una rappresentazione nel mondo digitale. Questo è permesso dalla grande quantità di dati della sensoristica, automaticamente generati e provenienti dai macchinari industriali. Una sfaccettatura del Digital Twin, che si basa sull'analisi di questi flussi di dati con lo scopo di ottimizzazione dei processi produttivi, è la Predictive Maintenance. Questa, consiste nell’effettuare diagnosi

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VENANZI, RICCARDO. "Device as a Service and Fog Computing Middleware for the Internet of Things." Doctoral thesis, Università degli studi di Ferrara, 2019. http://hdl.handle.net/11392/2488079.

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Nallendran, Vignesh Raja. "Predicting Performance Run-time Metrics in Fog Manufacturing using Multi-task Learning." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/102501.

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The integration of Fog-Cloud computing in manufacturing has given rise to a new paradigm called Fog manufacturing. Fog manufacturing is a form of distributed computing platform that integrates Fog-Cloud collaborative computing strategy to facilitate responsive, scalable, and reliable data analysis in manufacturing networks. The computation services provided by Fog-Cloud computing can effectively support quality prediction, process monitoring, and diagnosis efforts in a timely manner for manufacturing processes. However, the communication and computation resources for Fog-Cloud computing are li

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Schenfeld, Matheus Crespi. "Fog e edge computing : uma arquitetura h?brida em um ambiente de internet das coisas." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2017. http://tede2.pucrs.br/tede2/handle/tede/7730.

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Solimando, Michele. "Infrastrutture basate su Edge Computing per Supporto a Servizi Mobili in Ambienti Ostili." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11331/.

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Questa tesi è incentrata sulla revisione del classico modello di infrastruttura Cloud. Le motivazioni sono da ricercare nelle condizioni operative reali della maggior parte dei dispositivi connessi alla rete attualmente. Si parla di ambiente ostile riferendosi a network popolate da molti dispositivi dalle limitate caratteristiche tecniche e spesso collegati con canali radio, molto più instabili delle connessioni cablate. Allo scenario va ad aggiungersi la necessità crescente di mobilità che limita ulteriormente i vantaggi derivanti dall'utilizzo dell’infrastruttura Cloud originale. La trattazi

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Ramalho, Fl?vio de Sousa. "SmartEdge: fog computing cloud extensions to support latency-sensitive IoT applications." PROGRAMA DE P?S-GRADUA??O EM SISTEMAS E COMPUTA??O, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/22557.

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ZHANG, TIANZHU. "Control plane optimization in Software Defined Networking and task allocation for Fog Computing." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2706750.

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As the next generation of mobile wireless standard, the fifth generation (5G) of cellular/wireless network has drawn worldwide attention during the past few years. Due to its promise of higher performance over the legacy 4G network, an increasing number of IT companies and institutes have started to form partnerships and create 5G products. Emerging techniques such as Software Defined Networking and Mobile Edge Computing are also envisioned as key enabling technologies to augment 5G competence. However, as popular and promising as it is, 5G technology still faces several intrinsic challenges s

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Chakraborty, Suryadip. "Data Aggregation in Healthcare Applications and BIGDATA set in a FOG based Cloud System." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1471346052.

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Bhowmick, Satyajit. "A Fog-based Cloud Paradigm for Time-Sensitive Applications." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1467988828.

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Manzalini, Antonio. "An operating system for 5G Edge Clouds." Thesis, Evry, Institut national des télécommunications, 2016. http://www.theses.fr/2016TELE0013.

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La technologie et les conducteurs socio-économiques créent les conditions d'une transformation profonde, appelée "Softwarization", du Telco et des TIC. Réseaux définis par logiciel et réseau Fonctions de virtualisation sont deux des principales technologies permettant ouvrant la voie à cette transformation. Softwarization permettra de virtualiser toutes les fonctions de réseau et de services d'une infrastructure de Telco et de les exécuter sur une plates-formes logicielles, entièrement découplés de l'infrastructure physique sous (presque basé sur du matériel standard). Tous les services seront

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Grassi, Giulio. "Connected cars : a networking challenge and a computing resource for smart cities." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066554/document.

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Récemment, les villes sont devenues "de plus en plus intelligentes", avec une multitude de périphériques IoT et de capteurs déployés partout. Parmi ces objets intelligents, les voitures peuvent jouer un rôle important. Les véhicules sont (ou seront), en effet, équipés avec plusieurs interfaces réseau, ils ont (ou auront) des capacités de calcul et des dispositifs capables d'analyser l'environnement. Pour réaliser le concept de "connected-car" il faut un changement de modèle Internet, à partir d'une architecture centrée sur l'hôte (IP) vers un paradigme centré sur l'information, comment l'archi

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Badokhon, Alaa. "An Adaptable, Fog-Computing Machine-to-Machine Internet of Things Communication Framework." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1492450137643915.

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Chirindo, Tasimba Denford David. "An open vendor agnostic fog computing framework for mission critical and data dense applications." Master's thesis, Faculty of Engineering and the Built Environment, 2018. http://hdl.handle.net/11427/29984.

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Digital innovation from the Internet of Things (IoT), Artificial Intelligence, Tactile Internet and Industry 4.0 applications is transforming the way we work, commute, shop and play. Current deployment strategies of these applications emphasize mandatory cloud connectivity. However, this is not feasible in many real-world situations particularly where data dense and mission critical applications with stringent requirements are concerned. Cloud computing offers unlimited on-demand computing, storage and networking power for industry to leverage. However, as its scope and scale continues to expa

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Svensson, Wictor. "A comparison between database and Internet of Thing solutions : For remote measuring of radon." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34047.

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More and more devices around us are connected to the internet and communicate to each other. This includes devices such as radon sensors. Radon is a radio active gas and is the cause of several hundred cases of lung cancer. Smart connected radon sensors can be helpful to reduce the levels of radon as they provide remote access to the user. This study examines the opportunity to connect an already existing radon sensor to the “Internet of Things”. The aim of this study has been to answer the problem “find a better solution for the IoT system and develop it”. The study was performed with a liter

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Imine, Youcef. "Cloud computing security." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2520.

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Ces dernières années, nous assistons à une immense révolution numérique de l’internet où de nombreuses applications, innovantes telles que l’internet des objets, les voitures autonomes, etc., ont émergé. Par conséquent, l’adoption des technologies d’externalisations des données, telles que le cloud ou le fog computing, afin de gérer cette expansion technologique semble inévitable. Cependant, l’utilisation du cloud ou du fog computing en tant que plateforme d’externalisation pour le stockage ou le partage des données crée plusieurs défis scientifiques. En effet, externaliser ses données signifi

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Nafeh, Majd. "A Fog Networking Solution for DASH-based Video Streaming." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21419/.

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The delivery of video content over the internet has surged and internet video consumption has taken over the top spot in bandwidth usage. With this boom and the improvement in the quality of videos, the need for adequate delivery and data compression pushed the world for technological advances to sustain that usage. Dynamic Adaptive Streaming over HTTP (DASH) emerged as a leading choice and the standard for the delivery of video segments that are in line and conformable to the network conditions of the end users. The cloud was able to facilitate streaming by offering the resources and the stor

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Ma, Bin Bin. "Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950659.

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Wiss, Thomas. "Evaluation of Internet of Things Communication Protocols Adapted for Secure Transmission in Fog Computing Environments." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-35298.

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A current challenge in the Internet of Things is the seeking after conceptual structures to connect the presumably billions of devices of innumerable forms and capabilities. An emerging architectural concept, the fog cloud computing, moves the seemingly unlimited computational power of the distant cloud to the edge of the network, closer to the potentially computationally limited things, effectively diminishing the experienced latency. To allow computationally-constrained devices partaking in the network they have to be relieved from the burden of constant availability and extensive computatio

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Naas, Mohammed Islam. "Placement des données de l'internet des objets dans une infrastructure de fog." Thesis, Brest, 2019. http://www.theses.fr/2019BRES0014/document.

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Dans les prochaines années, l’Internet des objets (IoT) constituera l’une des applications générant le plus de données. Actuellement, les données de l’IoT sont stockées dans le Cloud. Avec l’augmentation du nombre d’objets connectés, la transmission de la grande quantité de données produite vers le Cloud génèrera des goulets d’étranglement. Par conséquent, les latences seront élevées. Afin de réduire ces latences, le Fog computing a été proposé comme un paradigme étendant les services du Cloud jusqu’aux périphéries du réseau. Il consiste à utiliser tout équipement localisé dans le réseau (ex.

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Grassi, Giulio. "Connected cars : a networking challenge and a computing resource for smart cities." Electronic Thesis or Diss., Paris 6, 2017. http://www.theses.fr/2017PA066554.

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Récemment, les villes sont devenues "de plus en plus intelligentes", avec une multitude de périphériques IoT et de capteurs déployés partout. Parmi ces objets intelligents, les voitures peuvent jouer un rôle important. Les véhicules sont (ou seront), en effet, équipés avec plusieurs interfaces réseau, ils ont (ou auront) des capacités de calcul et des dispositifs capables d'analyser l'environnement. Pour réaliser le concept de "connected-car" il faut un changement de modèle Internet, à partir d'une architecture centrée sur l'hôte (IP) vers un paradigme centré sur l'information, comment l'archi

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Birhanie, Habtamu. "Resource Allocation in Vehicular Fog Computing for an Optimal Use of EVs Electric Vehicles Energy." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK042.

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Résumé : Les progrès technologiques ont permis aux véhicules électriques d’avoir des capacités à la fois de calcul, de communication, de stockage et de perception. Néanmoins, la plupart du temps, ces véhicules électriques sont en stationnement, ce qui engendre une sous utilisation de leurs capacités embarquées. Ainsi, une meilleure gestion et une mise en commun de ces ressources sous-utilisées deviennent fortement recommandées. Les ressources agrégées seraient utiles pour des applications de sécurité routière, des applications liées au confort ou pourraient même être utilisées en tant que cent

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Gottardelli, Chiara <1991&gt. "FOG COMPUTING: THE KEYSTONE FOR THE FUTURE OF INDUSTRIAL IoT. IMPACTS ON LEAN PRODUCTION ENVIRONMENTS." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/13667.

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The Fourth Industrial revolution dominates the current discussion of researchers on manufacturing. At the same time, worldwide companies are becoming aware of the importance of Industrial IoT (IIoT) for competitive advantages. Even Governments have assumed an important role in the field and set themselves as promoters of technological change with policies in favor of industrial digitalization. In this scenario, Industrial IoT is driving the need for extensive adoption of advanced IT features across multiple Industry verticals. Moreover, in companies that apply Lean production concepts, IIoT ac

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Muhammad, Jan. "Application Deployment in Relay Based Edge Computing Scenarios." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20049/.

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Fog computing is a developing model as an innovative approach to increase the capacity of the cloud computing platform, which has been proposed to expand the Internet of Things (IoT) task to the edge of the network. Fog computing and edge computing are similar; both of them are promised to maximize the computing capabilities inside the local network to accomplish the computational responsibilities. Both computing mechanics can support systems to reduce their dependence on cloud-based platform to examine data, which usually directs to latency problems. The IoT brings to an ever-widening existen

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Singh, Navjot. "Planning of Mobile Edge Computing Resources in 5G Based on Uplink Energy Efficiency." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38444.

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Increasing number of devices demand for low latency and high-speed data transmission require that the computation resources to be closer to users. The emerging Mobile Edge Computing (MEC) technology aims to bring the advantages of cloud computing which are computation, storage and networking capabilities in close proximity of user. MEC servers are also integrated with cloud servers which give them flexibility of reaching vast computational power whenever needed. In this thesis, leveraging the idea of Mobile Edge Computing, we propose algorithms for cost-efficient and energy-efficient the place

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Marini, Riccardo. "Software Defined Networking Architectures for LoRaWAN." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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This thesis proposes new solutions for LoRaWAN networks taking advantages of Software Defined Networking architectures. In particular, an analysis of the current implementation of the Adaptive Data Rate mechanism developed by LoRaWAN standard, as well as a proposal of a new algorithm, will be provided. This will be addressed by considering both a cloud-based and a fog-based architecture in order to observe differences between the two approaches in a number of different scenarios. The proposed algorithms and the two architectures are compared via numerical results achieved through simulations a

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