Dissertations / Theses on the topic 'Placement de Serveurs Edge'
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Khamari, Sabri. "Architectures et protocoles pour les véhicules connectés." Electronic Thesis or Diss., Bordeaux, 2023. http://www.theses.fr/2023BORD0483.
The advent of Intelligent Transportation Systems (ITS) marks a paradigm shift in the approach to managing and optimizing transportation infrastructures. Rooted in the integration of state-of-the-art communication technologies, ITS encompass a variety of applications aimed at enhancing road safety, traffic efficiency, and driving comfort. However, the execution of these increasingly computation-intensive applications raises inherent challenges related to latency, data processing, and service continuity. The emergence of Edge Computing stands as a transformative advancement poised to redefine the efficacy of vehicular applications in Intelligent Transportation Systems (ITS). Contrasting with conventional cloud computing paradigms, which frequently encounter latency issues attributable to the remote nature of data processing, Edge Computing decentralizes computational tasks to be nearer to the point of data generation. This proximity drastically diminishes latency, optimizes data aggregation, and enhances overall resource utilization. Consequently, Edge Computing is uniquely positioned to address and potentially mitigate the limitations that have previously impeded the optimization of ITS functionalities. Nevertheless, the incorporation of Edge Computing into vehicular networks unveils a unique array of complexities, ranging from the strategic placement of edge servers and efficient data offloading techniques to the implementation of robust service migration protocols and safeguarding privacy and security measures.This thesis investigates the problems of edge server placement and service migration in vehicular networks. Our contributions in this thesis are threefold. First, we introduce "ESIAS," an Edge-based Safety Intersection Assistance System, specifically designed to improve safety intersections. The system aims to proactively distribute precise warning messages to drivers, mitigating the risk of common intersection-related accidents. Second, we tackle the challenge of optimal Edge server placement in vehicular networks, employing integer linear programming to find the most effective solutions. The methodology considers latency, cost, and server capacity in real-world traffic conditions. The proposed framework aims not only to minimize the overall deployment cost but also to balance the computational workloads among Edge servers, all while maintaining latency within acceptable thresholds. Finally, we delve into the complex issue of service migration in MEC-enabled vehicular networks, addressing the quandary of maintaining quality of service (QoS) while minimizing migration costs. As vehicles move through different regions, maintaining service quality requires strategic service migration, which poses challenges in terms of timing and location. To resolve this problem, we formulate it as a Markov Decision Process (MDP) and apply deep reinforcement learning techniques, specifically Deep Q-Networks (DQN), to discover optimal migration strategies tailored to each service's requirements. The resulting framework ensures seamless service continuity even within high-mobility constraints, achieving an optimal balance between latency and migration costs
Santoyo, González Alejandro. "Edge computing infrastructure for 5G networks: a placement optimization solution." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669552.
Fernandez-Rubiera, Francisco Jose. "Clitics at the edge clitic placement in Western Iberian Romance languages /." Connect to Electronic Thesis (CONTENTdm), 2009. http://worldcat.org/oclc/450998700/viewonline.
Schäfer, Dominik [Verfasser], and Christian [Akademischer Betreuer] Becker. "Elastic computation placement in edge-based environments / Dominik Schäfer ; Betreuer: Christian Becker." Mannheim : Universitätsbibliothek Mannheim, 2019. http://d-nb.info/1181692911/34.
Schäfer, Dominik Verfasser], and Christian [Akademischer Betreuer] [Becker. "Elastic computation placement in edge-based environments / Dominik Schäfer ; Betreuer: Christian Becker." Mannheim : Universitätsbibliothek Mannheim, 2019. http://nbn-resolving.de/urn:nbn:de:bsz:180-madoc-488322.
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.
Con i termini Fog ed Edge Computing si indicano dei paradigmi computazionali che, spostando l'elaborazione dei dati IoT nelle prossimità sia dei dispositivi che degli utenti, mirano a fornire servizi a bassa latenza, immersivi e real-time. Fog ed Edge Computing trovano applicazione in contesti Smart Cities, dove è possibile sfruttare la capacità computazionale di gateway IoT, Cloudlet e Base Station per elaborare parte dei dati generati dall'IoT direttamente ai margini della rete. L'adozione dei paradigmi di Fog ed Edge Computing è tuttavia complessa in quanto pone una serie di sfide tra cui il processamento dell’enorme mole di dati generati dall’IoT, la presenza di un numero limitato di dispositivi altamente eterogenei e con capacità computazionali scarse, requisiti di servizio altamente dinamici e reti con caratteristiche eterogenee. Per garantire i requisiti stringenti di bassa latenza, soluzioni per Fog ed Edge Computing devono essere in grado di utilizzare al meglio le scarse risorse a disposizione, gestendole al meglio. Se questi paradigmi sono oggetto di ampie ricerche, vi è la necessità di investigare soluzioni innovative che consentano di gestire l’enorme mole dati IoT e permettere una concreta applicazione di Fog ed Edge Computing. Questa tesi propone middleware innovativi in grado di fornire soluzioni complete per fronteggiare al meglio le caratteristiche altamente dinamiche di scenari Smart Cities, fornendo metodologie e strumenti per allocare e distribuire servizi tra le risorse a disposizione, monitorare lo stato delle risorse e modificare prontamente la loro configurazione. Come criterio innovativo per la prioritizzazione dei dati IoT per processamento e disseminazione, questa tesi adotta il concetto di Value-of-Information (VoI), nato come estensione della Teoria dell'Informazione di Shannon e applicato in ambiti decisionali. A tal fine, questa tesi propone politiche di gestione delle informazioni che consentono di realizzare servizi modulari e facilmente (ri-)componibili e tecniche di ottimizzazione innovative che ben si adattano a questi servizi. Inoltre, i middleware presentati in questa tesi integrano il concetto di VoI sia a livello di servizio che a livello di gestione per selezionare le informazioni più preziose per l'elaborazione e la diffusione, riducendo così il carico computazionale e garantendo una gestione ottimale dei dispositivi e della rete. Le ricerche presentate in questa tesi sono il risultato della collaborazione con istituti di ricerca internazionali e di un periodo di ricerca trascorso presso il Florida Institute for Human and Machine Cognition (IHMC), FL, USA.
Santi, Nina. "Prédiction des besoins pour la gestion de serveurs mobiles en périphérie." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILB050.
Multi-access Edge computing is an emerging paradigm within the Internet of Things (IoT) that complements Cloud computing. This paradigm proposes the implementation of computing servers located close to users, reducing the pressure and costs of local network infrastructure. This proximity to users is giving rise to new use cases, such as the deployment of mobile servers mounted on drones or robots, offering a cheaper, more energy-efficient and flexible alternative to fixed infrastructures for one-off or exceptional events. However, this approach also raises new challenges for the deployment and allocation of resources in terms of time and space, which are often battery-dependent.In this thesis, we propose predictive tools and algorithms for making decisions about the allocation of fixed and mobile resources, in terms of both time and space, within dynamic environments. We provide rich and reproducible datasets that reflect the heterogeneity inherent in Internet of Things (IoT) applications, while exhibiting a high rate of contention and interference. To achieve this, we are using the FIT-IoT Lab, an open testbed dedicated to the IoT, and we are making all the code available in an open manner. In addition, we have developed a tool for generating IoT traces in an automated and reproducible way. We use these datasets to train machine learning algorithms based on regression techniques to evaluate their ability to predict the throughput of IoT applications. In a similar approach, we have also trained and analysed a neural network of the temporal transformer type to predict several Quality of Service (QoS) metrics. In order to take into account the mobility of resources, we are generating IoT traces integrating mobile access points embedded in TurtleBot robots. These traces, which incorporate mobility, are used to validate and test a federated learning framework based on parsimonious temporal transformers. Finally, we propose a decentralised algorithm for predicting human population density by region, based on the use of a particle filter. We test and validate this algorithm using the Webots simulator in the context of servers embedded in robots, and the ns-3 simulator for the network part
Abderrahim, Mohamed. "Conception d’un système de supervision programmable et reconfigurable pour une infrastructure informatique et réseau répartie." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2018. http://www.theses.fr/2018IMTA0119/document.
Cloud offers compute, storage and network as services. To reduce the offer cost, the operators tend to rely on centralized and massive infrastructures. However, such a configuration hinders the satisfaction of the latency and bandwidth requirements of new generation applications. The Edge aims to rise this challenge by relying on massively distributed resources. To satisfy the operators and the users of Edge, management services similar to the ones that made the success of Cloud should be designed. In this thesis, we focus on the monitoring service. We design a framework to establish a holistic monitoring service. This framework determines a peer-to-peer deployment architecture for the observation, processing, and exposition of measurements. It verifies that this architecture satisfies the functional and quality of service constraints of the users. For this purpose, it relies on a description of users requirement sand a description of the Edge infrastructure.The expression of these two elements can be unified with two languages offered by the Framework. The deployment architecture is determined with the aim of minimizing the compute and network footprint of the monitoring service. For this purpose, the functions are mutualized as much as possible among the different users. The tests we did showed the relevance of our proposal for reducing monitoring footprint with a gain of -28% for the compute and -24% for the network
Sténson, Carl. "Object Placement in AR without Occluding Artifacts in Reality." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211112.
Placering av virtuella objekt i Augumented Reality görs ofta utan att ta hänsyn till objekt i den fysiska miljön. Den här studien utreder hur placering kan göras med hänsyn till den fysiska miljön och dess objekt. Den behandlar enbart placering av objekt på vertikala ytor. För undersökningen utvecklas två prototyper som använder sig av kantigenkänning i foton samt en volymmetrisk representation av den fysiska miljön. I denna miljö föreslår prototyperna var placering av objekt kan ske. Den första prototypen analyserar varje triangel i den volymmetriska representationen av rummet, vilket visade sig vara krävande och med låg precision av lokaliseringen av objekt i miljön. Den andra prototypen analyserar de detekterade kanterna i fotona och projicerar dem till deras positioner i miljön. Vilket var något som visade sig hitta objekt i rummet med god precision samt snabbare än den första prototypen. Den andra prototypen lyckas med detta i en kontrollerad miljö. I en mer komplex och utmanande miljö kan problem uppstå. Placering av objekt i Augumented Reality med hänsyn till både en volymmetrisk och texturerad representation av en miljö kan uppnås. Placeringen kan då ske på ett mer naturligt sätt och därmed förstärka upplevelsen av att virtuella och verkliga objekt befinner sig i samma värld.
Shinde, Swapnil Sadashiv. "Radio Access Network Function Placement Algorithms in an Edge Computing Enabled C-RAN with Heterogeneous Slices Demands." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20063/.
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.
Awais, Hussein Sani. "Bipartite edge coloring approach for designing parallel hardware interleaver architecture." Phd thesis, Université de Bretagne Sud, 2012. http://tel.archives-ouvertes.fr/tel-00790045.
Tanfener, Ozan. "Design and Evaluation of a Microservice Testing Tool for Edge Computing Environments." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287171.
Edge computing kan ge decentraliserad beräkning och lagringsresurser med låg latens och hög bandbredd. Det är en lovande infrastruktur för att vara värd för tjänster med strängt prestandakrav, till exempel autonom körning, molnspel och telekirurgi till kunderna. På grund av den strukturella komplexiteten som är associerad med edge computing applikationerna, får forskningsämnen som tjänsteplacering stor betydelse. För att tillhandahålla en realistisk och effektiv allmän miljö för utvärdering av lösningar för tjänsteplacering, designas och implementeras ett nytt testverktyg för mobilt kantmoln i denna avhandling. Det föreslagna verktyget implementeras på molnmässigt sätt som gör det möjligt att distribuera applikationer i en edge computing-infrastruktur som består av Kubernetes och Istio. Med hjälp av det konstruerade verktyget utvärderas två olika placeringsalgoritmer för mikrotjänster i en realistisk edge computing miljö. Resultaten visar att en ökning av förfrågningsgraden 200 % kan öka förseningen med 100 % för olika algoritmer. Dessutom kan komplicering av mobilnätet förbättra latensprestanda upp till 20% beroende på algoritmen för mikroserviceplaceringen.
Valicov, Petru. "Problèmes de placement, de coloration et d’identification." Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14549/document.
In this thesis we study three theoretical computer science problems, namely the orthogonal packing problem (OPP for short), strong edge-colouring and identifying codes.OPP consists in testing whether a set of rectangular items can be packed in a rectangular container without overlapping and without exceeding the borders of this container. An additional constraint is that the rotation of the items is not allowed. The problem is NP-hard even when the problem is reduced to packing squares in a square. We propose an exact algorithm for solving OPP efficiently using the characterization of the problem by interval graphs proposed by Fekete and Schepers. For this purpose we use some compact representation of interval graphs - MPQ-trees. We show experimental results of our approach by comparing them to the results of other algorithms known in the literature. we observe promising gains.The study of strong edge-colouring and identifying codes is focused on the structural and computational aspects of these combinatorial problems. In the case of strong edge-colouring we are interested in the families of planar graphs and subcubic graphs. We show optimal upper bounds for the strong chromatic index of subcubic graphs as a function of the maximum average degree. We also show that every planar subcubic graph without induced cycles of length 4 and 5 can be strong edge-coloured with at most nine colours. Finally, we confirm the difficulty of the problem by showing that it remains NP-complete even in some restricted classes of planar subcubic graphs.For the subject of identifying codes we propose a characterization of non-trivial graphs having maximum identifying code number ID, that is n-1, where n is the number of vertices. We study the case of line graphs and prove lower and upper bounds for ID parameter in this class. At last we investigate the complexity of the corresponding decision problem and show the existence of a linear algorithm for computing ID of the line graph L(G) where G has the size of the tree-width bounded by a constant. On the other hand, we show that the identifying code problem is NP-complete in various subclasses of planar graphs
Khatiwada, Raju. "Speciation of phosphorus in reduced tillage systems: placement and source effect." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/9973.
Department of Agronomy
Ganga M. Hettiarachchi
Phosphorus (P) management in reduced tillage systems has been a great concern for farmers. Conclusive results for benefits of deep banding of P fertilizers for plant yield in reduced tillage system are still lacking. Knowledge of the dominant solid P species present in soil following application of P fertilizers and linking that to potential P availability would help us to design better P management practices. The objectives of this research were to understand the influence of placement (broadcast- vs. deep band-P or deep placed-P), fertilizer source (granular- versus liquid-P), and time on reaction products of P. Greenhouse and field based experiments were conducted to study P behavior in soils. Soil pH, resin extractable P, total P, and speciation of P were determined at different distances from the point of fertilizer application at 5 weeks (greenhouse and field) and 6 months (field) after P application (at rate 75 kg/ha) to a soil system that was under long-term reduced tillage. X-ray absorption near edge structure spectroscopy technique was used to speciate reaction products of fertilizer P in the soil. The reaction products of P formed upon addition of P fertilizers to soils were found to be influenced by soil pH, P placement methods, and P sources. Acidic pH (below~5.8) tended to favor formation of Fe-P and Al-P like forms whereas slightly acidic near neutral pH soils favored formation of Ca-P like forms. Scanning electron microscope with energy dispersive X-ray analysis of applied fertilizer granules at 5-wk showed enrichment of Al, Fe and Ca in granule- indicating these elements begin to react with applied P even before granules dissolve completely. The availability of an applied P fertilizer was found to be enhanced as a result of the deep banding as compared to the surface broadcasting or deep placed methods. Deep banded liquid MAP was found to be in more adsorbed P like forms and resulted greater resin extractable P both at 5 wk and 6 month after application. Deep banding of liquid MAP would most likely result both agronomically and environmentally efficient solution for no-till farmers.
Sigwele, Tshiamo. "Energy Efficient Cloud Computing Based Radio Access Networks in 5G. Design and evaluation of an energy aware 5G cloud radio access networks framework using base station sleeping, cloud computing based workload consolidation and mobile edge computing." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/16062.
Tena, Frezewd Lemma. "Energy-Efficient Key/Value Store." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-228586.
Mehamel, Sarra. "New intelligent caching and mobility strategies for MEC /ICN based architectures." Electronic Thesis or Diss., Paris, CNAM, 2020. http://www.theses.fr/2020CNAM1284.
Mobile edge computing (MEC) concept proposes to bring the computing and storage resources in close proximity to the end user by placing these resources at the network edge. The motivation is to alleviate the mobile core and to reduce latency for mobile users due to their close proximity to the edge. MEC servers are candidates to host mobile applications and serve web contents. Edge caching is one of the most emerging technologies recognized as a content retrieval solution in the edge of the network. It has been also considered as enabling technology of mobile edge computing that presents an interesting opportunity to perform caching services. Particularly, the MEC servers are implemented directly at the base stations which enable edge caching and ensure deployment in close-proximity to the mobile users. However, the integration of servers in mobile edge computing environment (base stations) complicates the energy saving issue because the power consumed by mobile edge computing servers is costly especially when the load changes dynamically over time. Furthermore, users with mobile devices arise their demands, introducing the challenge of handling such mobile content requests beside the limited caching size. Thus, it is necessary and crucial for caching mechanisms to consider context-aware factors, meanwhile most existing studies focus on cache allocation, content popularity and cache design. In this thesis, we present a novel energy-efficient fuzzy caching strategy for edge devices that takes into consideration four influencing features of mobile environment, while introducing a hardware implementation using Field-Programmable Gate Array (FPGA) to cut the overall energy requirements. Performing an adequate caching strategy on MEC servers opens the possibility of employing artificial intelligence (AI) techniques and machine learning at mobile network edges. Exploiting users context information intelligently makes it possible to design an intelligent context-aware mobile edge caching. Context awareness enables the cache to be aware of its environment, while intelligence enables each cache to make the right decisions of selecting appropriate contents to be cached so that to maximize the caching performance. Inspired by the success of reinforcement learning (RL) that uses agents to deal with decision making problems, we extended our fuzzy-caching system into a modified reinforcement learning model. The proposed framework aims to maximize the cache hit rate and requires a multi awareness. The modified RL differs from other RL algorithms in the learning rate that uses the method of stochastic gradient decent beside taking advantage of learning using the optimal caching decision obtained from fuzzy rules
Tahraoui, Mohammed Amin. "Coloring, packing and embedding of graphs." Phd thesis, Université Claude Bernard - Lyon I, 2012. http://tel.archives-ouvertes.fr/tel-00995041.
Gupta, Devyani. "Optimal Placement and Traffic Steering of VNFs and Edge Servers using Column Generation in Data Center Networks." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5974.
Lyu, Kun-Yu, and 呂昆育. "Edge Cloud Placement with Traffic Load Alleviation for Cloud Computing." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/k3kk38.
國立臺灣科技大學
資訊工程系
107
In the modern world, the Internet is very widespread. People ask the Internet to provide kinds of services. The user sends a request message to the cloud server on the Internet. Then, the cloud server provides service to the user. Hence, between the user and the server, a traffic is generated as the user is served. However, if there a large traffic be generated and it is a long distance between the user and the cloud server, not only the data transmission time is longer, but also the data flow has more chance to compete with other data flow for the bandwidth, which leads to increase of traffic load. A solution is to deploy edge clouds in the networks. The user requests are served in edge clouds. Due to the cost of deploying an edge cloud is lower than setting up a cloud server, the more edge clouds can be deployed in the networks under the same budget. The deployment of edge cloud is resilient. The edge cloud is close to the user so the influence of data flow generated by service is small, the traffic load of the networks is alleviated. Locations of edge clouds influence data transmission time and traffic load of the networks. This thesis investigates the problem of selecting the locations of edge clouds in a cloud network and allocating user requests to appropriate edge clouds to share the workload of the cloud server while minimizing the traffic originally generated between the user and the cloud server. The problem is formally defined in an integer programming problem. The thesis proposed novel schemes to select the locations of edge clouds and allocate user requests to appropriate edge clouds. User requests are preferred to be processed locally in the nearby edge cloud such that the traffic load in the network could be minimized. Simulation results show that the proposed scheme outperforms other schemes in the recent literature. It is shown to be effective in reducing the traffic load in the network.
Yu, Peng. "Fast and accurate lithography simulation and optical proximity correction for nanometer design for manufacturing." 2009. http://hdl.handle.net/2152/6664.
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