Dissertations / Theses: 'IoT Cloud'

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Axelsson, Markus, and Oskar Lundgren. "Raytelligent Cloud." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33567.

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I dagens samhälle blir fler och fler enheter uppkopplade mot Internet vilket kan ge en annars begränsad hårdvara möjlighet att genomföra större beräkningar. Detta projekt avser att skapa ett system som hanterar en användares radarenheter i ett molnbaserat system. Systemet erbjuder även möjligheten att ladda upp användarens egna applikationer vilka använder data från radarenheten, körs på virtuella maskiner och vid behov har möjlighet att skicka notiser till användarens mobila applikationer. För att underlätta utveckling har systemet delats upp i tre delsystem. Dessa är radarenhet, molntjänst och mobilapplikation. Projektet resulterade i ett komplett system med en webbapplikation som erbjuder användaren möjlighet att registrera sina radarenheter, ladda upp källkod som kompileras och körs på en molntjänst samt möjlighet att skicka notiser till en mobilapplikation.
Todays age sees more and more devices connected to the internet providing otherwise quite limited hardware with the ability to perform more complex calculations. This project aims to create a system for managing a users radar devices using a cloud platform. The system also provides the ability for the user to upload their own custom applications which can make use of data provided by the radar device, run on virtual machines and if required have the ability to push notifications to the users mobile applications. To simplify the system development, it has been divided into three separate subsystems, specifically the radar device, the cloud service and the mobile application. The result of the project is a complete system with a web application which provides the user with the ability to register their radar device(s), upload source code which is compiled and run on the cloud platform and the ability to send push notices to a mobile application.

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Nompleggio, Pietro Antonio. "Computazione Embodied e Disembodied: Cloud-based IoT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11180/.

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La tesi esplora la co-esistenza di computazioni embodied e disembodied nei moderni sistemi software, adottando come caso di studio il recente trend che vede sempre più coesi e integrati sistemi per l'Internet of Things e sistemi Cloud-based. Si analizzano i principali modelli di comunicazione, protocolli di comunicazione e architetture situate. Inoltre si realizza una piattaforma IoT Middleware cloud-based per mostrare come la computazione possa essere distribuita lato embodied e disembodied.

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Coutinho, Daniel Filipe Raimundo. "Cloud-based system for IoT data acquisition." Master's thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/28975.

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IoT permite-nos trazer o mundo físico para o mundo virtual, dando o poder de o controlar e monitorizar. Isto tem encorajado um aumento no interesse em IoT, devido às múltiplas aplicações nos mais variados contextos. Ainda assim sistemas de IoT enfrentam desafios tais como o suporte de altos volume de conexões ou a baixa capacidade de computação face a algoritmos para segurança dos dados. O objectivo desta dissertação é criar um sistema de recolha de dados de sensor de qualidade do ar que resolva esses desafios usando tecnologias de estado de arte, dando preferência a ferramentas de código aberto. O sistema foi implementado em volta Apache Kafka, com Spring Boot e VerneMQ responsáveis por receber dados e PostgreSQL, com plugin Timescale, encarregue de os guardar. Um protótipo do sistema foi implementado usando contentores Docker, mas não foi possível organiza-los com Kubernetes; Abstract: Cloud-based system for IoT data acquisition The purpose of IoT is to bring the physical world into a digital one and allowing it to be controlled and monitored from a virtual standpoint. The interest in IoT has increased due to its many applications in various fields, but IoT systems still deal with challenges such as the support of a high volume of connections or the low processing capacity of devices faced with data security algorithms. The objective of this dissertation is to create a data collection for air quality sensors system, that solves those challenges based on state of the art technologies, giving preference to open-source tools. Implementation was done around Apache Kafka, with Spring Boot and VerneMQ receiving data, HMAC granting a level security on data transport and PostgreSQL with the plugin Timescale storing the data. A prototype of the system was implemented in Docker containers, but we were unable to orchestrate them through Kubernetes.

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Bakthavathsalu, Lalith Kumar. "Cloud native design of IoT baseband functions : Introduction to cloud native principles." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289171.

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The exponential growth of research and deployment of 5G networks has led to an increased interest in massive Machine Type Communications (mMTC), as we are on the quest to connect all devices. This can be attributed to the constant development of long-distance and low-powered Internet-of- Things (IoT) technologies, or, Low Power Wide Area Network (LPWAN) technologies such as Long-Range (LoRa) and Narrow Band- IoT (NB-IoT). These technologies are gaining prominence in the IoT domain as the number of LPWAN connected devices has doubled from 2018 to 2019. This increase in devices warrants a proportional number of gateways to push the data to the Internet for further analytics. The traditional LPWAN architectures do not provide dynamic scaling of resources or energy-efficient solutions. Thus, a Cloud-Native (CN) split architecture based on the functional characteristics of the components is a necessity. In this work, a software-based implementation of the LoRa stack on GNU Radio is designed and implemented using Software-Defined Radio (SDR). The LoRa gateway is implemented in software completely, replicating the functions of the hardware for communicating with any LoRa Network Server. Several experiments with different setups have been performed on the testbed to measure the resource utilization and packet delay of the LoRa Physical (PHY) and Medium Access Control (MAC) layers. Also, the testbed has been moved into Docker containers to emulate a cloud-based platform and make the transition faster. Higher throughput and lower delay (Improvement in the range of 1.3x - 6.7x) were recorded upon splitting the testbed into Radio Head (RH) and Edge containers. Finally, three potential functional split architectures including the gateway have been discussed while providing a fair trade-off between pooling gain and consumed bandwidth for a CN split architecture.
Den exponentiella tillväxten av forskning och distribution av 5G-nät har lett till ett ökat intresse för massive Machine Type Communicationsn (mMTC) eftersom vi är på jakt att ansluta alla enheter. Detta kan tillskrivas den ständiga utvecklingen av långdistans- och lågdrivna Internet-of-Things-teknologier (IoT) -teknologier, eller, Low Power Wide Area Network (LPWAN) tekniker som Long-Range (LoRa) och Narrow Band- IoT (NB-IoT). Dessa teknologier blir framträdande inom IoT-domänen eftersom antalet LPWAN-anslutna enheter har fördubblats från 2018 till 2019. Denna ökning av enheterna motiverar ett proportionellt antal portar för att driva data till Internet för ytterligare analys. De traditionella LPWAN-arkitekturerna ger inte dynamisk skalning av resurser eller energieffektiva lösningar. Således är en moln-infödd delad arkitektur baserad på funktionernas egenskaper hos komponenterna en nödvändighet. I detta arbete designas och implementeras en programvarubaserad implementering av LoRa-stacken på GNU Radio med hjälp av Software- Defined Radio (SDR). LoRa-gatewayen implementeras i mjukvara fullständigt, vilket replikerar maskinvarans funktioner för att kommunicera med någon LoRaNetwork Server. Flera experiment med olika inställningar har utförts på testbädden för att mäta resursutnyttjandet och paketfördröjningen för LoRa Physical (PHY) och Medium Access Control (MAC) -skikten. Testbädden har också flyttats in i Docker-behållare för att emulera en molnbaserad plattform och göra övergången snabbare. Högre genomströmning och lägre fördröjning (Förbättring inom intervallet 1,3x - 6,7x) registrerades vid uppdelning av testbädden i Radio Head (RH) och Edge containrar. Slutligen har tre potentiella funktionella splitarkitekturer inklusive gateway diskuterats samtidigt som det ger en rättvis avvägning mellan pooling av vinst och förbrukad bandbredd.

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Rinaldini, Fabrizio. "Comunicazione tra dispositivi IoT e Cloud tramite protocollo MQTT." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13199/.

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Panoramica sull'Internet delle Cose. Introduzione, studio e contestualizzazione del protocollo MQTT. Analisi di una comunicazione di tra dispositivi IoT e Cloud tramite protocollo MQTT. Ricerca su soluzioni IoT preconfigurate. Confronto tra MQTT e HTTP, con metodo Post.

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Yevsieiev, V., and A. Bolshakov. "Use of microcontrollers with cloud services for production needs." Thesis, Кременчуцький національний університет імені Михайла Остроградського, 2022. https://openarchive.nure.ua/handle/document/20420.

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Core areas of the Fourth Industrial Revolution include aspects such as cybersecurity, cloud computing, Internet of Things, Big Data/Analysys and M2M. Production, which is designed using such approaches, as a rule, is modular and fully programmatically controlled, which allows you to implement the adjustment of the environment, the collection and business analysis of data over long periods of time, as well as quick access to data from anywhere in the world.

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Sgarbi, Andrea. "Machine Cloud Connectivity: a robust communication architecture for Industrial IoT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Industry 4.0 springs from the fourth industrial revolution, which is bringing innovation to fully automated and interconnected industrial production. This movement is composed of macro areas to expand the technological horizon starting from the tools used to date. The use of data, computing power and connectivity are the fundamental concepts on which the study of this thesis is based and are declined in big data, open data, Internet of Things (IoT), machine-to-machine and cloud computing for the centralization of information and its storage. Once the data has been collected, it is necessary to derive value from it in order to obtain advantages from ”machine learning”, i.e. machines that improve their performance by ”learning” from the data collected and analyzed. The advent of the Internet of Things can be seen in all respects as the greatest technological revolution of recent years, which will bring a huge amount of information into the hands of users. The latter can offer countless advantages in daily life and in the diagnostics of the production process. Industrial IoT (IIoT) enables manufacturing organizations to create a communication path through the automation pyramid, obtaining a real data stream in order to improve the machine performances. From an information security point of view, the importance of the information transmitted should not be underestimated and this also concerns an important aspect of industry 4.0. Protocols and authentication systems are constantly updated to ensure the privacy and security the customer needs. Through this thesis project, the implementation requirements will be dealt with in order to study and analyze different vendor technologies and to construct a cloud architecture. The focus is concentrated on the cybersecurity and on the information losses avoidance in order to get a robust transfer.

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Hellbe, Anton, and Gustaf Bohlin. "Evaluating IoT cloud platforms in the context of smart buildings." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20027.

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Smarta byggnader är ett vanligt användningsområde för både Internet of Things (IoT)enheter och molntjänster. På senare tid har molntjänstleverantörer som Amazon, Googleoch Microsoft börjat erbjuda IoT-molnplattformar. Dessa består av en klass av tjänstersom utgör en bas för molnapplikationer som används av IoT-enheter. Idag finns det mångaolika leverantörer som tillhandahåller denna tjänsten och att välja en för en IoT-lösning ärsvårt. I denna rapport beskrivs utvecklingen av ett system som är vanligt förekommandei en smart byggnad. I denna rapport utvärderas IoT-molnplattformar för användninginom området smarta byggnader som en del av ett uppdrag från Sigma Lundinova. Förutvärderingen implementeras ett vanligt scenario i en smart byggnad som en prototyp medhjälp av två olika IoT-molnplattformar. Syftet med detta är att utvärdera och jämföra hurväl IoT-molnplattformarna stödjer utveckling av systemet beskrivet av scenariot. Genomatt implementera en prototyp insamlas underlag i form av kunskap och erfarenhet somanvänds i utvärderingen. Utvärderingen kan användas som ett hjälpmedel för att göradet lättare att välja en IoT-molnplattform när man utvecklar IoT-lösningar för smartabyggnader.
Smart buildings is a common application for both Internet of Things (IoT) devices andcloud services. Recently cloud service providers such as Amazon, Google and Microsofthave started to offer IoT cloud platforms which consist of a class of services that providea base for cloud applications utilized by IoT devices. However, there are many differentproviders of IoT cloud platforms and selecting one for an IoT solution for a smart buildingis difficult. In this thesis two IoT cloud platforms are evaluated in the context of smartbuildings as part of an assignment given by Sigma Lundinova. To evaluate the IoT cloudplatforms a common smart building scenario is realized by implementing a prototype usingtwo different IoT cloud platforms. The development process makes it possible to evaluatehow well the platforms support the development of the system that the scenario describes.The evaluation is based on information and experience from the process of developing thesystem using the IoT cloud platforms. The evaluation can be used as a guidance whenselecting IoT cloud platform for an IoT solution intended for a smart building.

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Laukka, Lucas, and Carl Fransson. "Cloud risk analysis using OCTAVE Allegro : Identifying and analysing risks of a cloud service." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176731.

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Cybersecurity is currently an important and relevant issue, as more and more industries are taking advantage of the accessibility of storing information online. To create a secure system one must know the potential risks and attacks on that system, making risk analysis a very potent tool. In this study, we performed such an analysis using the risk analysis method OCTAVE Allegro on a company providing a cloud-based service to find out what risks a cloud service provider might be exposed to, and the usefulness of said risk analysis method in this circumstance. We found that OCTAVE Allegro is suitable to use on smaller companies and applicable to cloud services, and the most severe risks identified were connected to leakage of client data with a consequence of damaging the company's reputation. Common areas of concern for these risks were third parties hacking the cloud server or other company systems to gain access to sensitive information. Such risks will likely be found at any company providing a cloud service that manages sensitive data, increasing the importance of risk analysis at these companies.

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Sääf, Alexander. "Cloud Services for Building the Modern Internet of Things : An Examination of IoT Cloud Service Providers." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162090.

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As the IoT has grown in popularity, modern Cloud Providers have begun offering IoT-specific features. These features could provide IoT developers with a lot of aid, but they are new and relatively unexplored. This study aims to explore these IoT-specific features in order to build a better foundation for developers looking to leverage them to improve their IoT systems or development process. To do this, a literature study combined with a case study was carried out. The literature study gives insight into the current research around IoT and IoT cloud providers, for example with common issues and possible applications. The case study provides a reference of how a simple proof-of-concept system can be developed using two of the available providers: AWS IoT and Azure IoT.

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Luna, Renato Mercado, Gabriel Benavente Soto, Daniel Subauste Oliden, and Alfredo Barrientos Padilla. "Bike-Sharing Management System Using IoT." Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/653779.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Nowadays, due to climate change and many other facts affecting daily life a trend to use eco-friendly transportation ways has arisen, and from them the one mostly used and with the highest acceptance is biking. Therefore, several companies have emerged offering bike-sharing systems, and those systems have been greatly accepted in the different metropolises around the world. The generalization of these systems has created a new need: to manage them efficiently. Consequently, in this work, we propose a software architecture and the implementation of a bike-sharing management system using the Internet of things (IoT).
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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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O r?pido crescimento do n?mero de dispositivos conectados ? Internet, associado ?s taxas crescentes de popularidade e demanda de aplica??es e servi?os em tempo real na nuvem, com restri??es de lat?ncia, torna muito dif?cil para estruturas de computa??o em nuvem tradicionais acomod?-los de forma eficiente. Mais especificamente, a abordagem centralizada adotada tradicionalmente por Data Centers (DC) atuais apresentam problemas de desempenho para atender de aplica??es em nuvem com alta densidade, principalmente quanto a capacidade de resposta e escalabilidade. Nossa depend?ncia insubstitu?vel por computa??o em nuvem, exige infra-estruturas de DCs sempre dispon?veis, enquanto mant?m ao mesmo tempo capacidades de desempenho suficientes para responder a uma enorme quantidade de solicita??es de aplicativos em nuvem. Neste trabalho, a aplicabilidade do emergente paradigma de computa??o em n?voa ? explorada para melhorar o desempenho no suporte de aplica??es em nuvem sens?veis ? lat?ncia voltadas a Internet das Coisas (do ingl?s Internet of Things - IoT). Com base neste objetivo, apresentamos o novo modelo denominado Infraestrutura de Borda como um Servi?o (do ingl?s Edge Infrastructure as a Service - EIaaS), que procura oferecer um novo modelo de computa??o em nuvem com servi?o de entrega baseado em computa??o de borda voltado a atender de forma eficiente as exig?ncias de aplica??es IoT em tempo real sens?veis ? lat?ncia. Com a abordagem EIaaS, provedores de nuvem podem implantar dinamicamente aplica??es/servi?os IoT diretamente nas infra-estruturas de computa??o de borda, nem como gerir seus recursos de n?vem/rede em tempo de execu??o, como forma de manter as aplica??es IoT sempre melhor conectadas e melhor servidas. A abordagem resultante ? arquitetada em uma estrutura modular, tendo como base tecnol?gica ferramentas de Rede Definida por Software (do ingl?s, Software- Defined Networking - SDN) para lidar com recursos de computa??o de borda (CPU, mem?ria, etc.) e de rede (caminhos, largura de banda, etc.), respectivamente. Os resultados preliminares mostram como as principais t?cnicas de virtualiza??o utilizadas no ?mbito deste trabalho, afetam o desempenho das aplica??es na infraestrutura de borda da rede. A virtualiza??o por containers leva vantagem sobre a t?cnica de virtualiza??o por m?quinas virtuais para implantar aplica??es na borda da rede, uma vez que oferece grande flexibilidade mesmo na presen?a de demanda de recursos.
The rapid growth in the number of Internet-connected devices, associated to the increasing rates in popularity and demand for real-time and latency-constrained cloud application services makes the use of traditional cloud computing frameworks challenging to afford such environment. More specifically, the centralized approach traditionally adopted by current Data Center (DC) pose performance issues to suit a high density of cloud applications, mainly in terms to responsiveness and scalability. Our irreplaceable dependency on cloud computing, demands DC infrastructures always available while keeping, at the same time, enough performance capabilities for responding to a huge amount of cloud application requests. In this work, the applicability of the fog computing emerging paradigm is exploited to enhance the performance on supporting latency-sensitive cloud applications tailored for Internet of Things (IoT).With this goal in mind, we introduce a new service model named Edge Infrastructure as a Service (EIaaS), which seeks to offer a new edge computing tailored cloud computing service delivery model to efficiently suit the requirements of the real-time latency-sensitive IoT applications. With EIaaS approach, cloud providers are allowed to dynamically deploy IoT applications/services in the edge computing infrastructures and manage cloud/network resources at the run time, as means to keep IoT applications always best connected and best served. The resulting approach is modeled in a modular architecture, leveraging both container and Software-Defined Networking technologies to handle edge computing (CPU, memory, etc) and network resources (path, bandwidth, etc) respectively. Preliminary results show how the virtualization technique affects the performance of applications at the network edge infra. The container-based virtualization takes advantage over the hypervisor-based technique for deploying applications at the edge computing infrastructure, as it offers a great deal of flexibility under the presence of resource constraints.

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Balzani, Mattia. "Integrazione di Servizi Cloud per Applicazioni IoT nel Dominio della Nautica." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24689/.

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In questa tesi vengono definiti i concetti alla base del Cloud Computing e di progettazione di un’applicazione che ne integra i servizi all’interno di un applicativo già esistente su una imbarcazione, analizzandone gli elementi principali del sistema in oggetto e le tecnologie impiegate, illustrate le caratteristiche del servizio Corvina Cloud utilizzato ed infine sviluppato un Proof of Concept per una imbarcazione dell’azienda. L’obiettivo principale di questa tesi è realizzare un PoC di un sistema integrato con il Cloud per un’imbarcazione reale, messa a disposizione dai clienti dell’azienda Navico. Il sistema sviluppato è in grado di recuperare i dati relativi ai dispositivi installati sulla barca (monitorati da differenti PLC dedicati) e di inviare tali informazioni verso la piattaforma Corvina Cloud, permettendo di visualizzarne il contenuto e lo stato attraverso dashboard, oltre a consentire di accedere a tali informazioni attraverso RestAPI per effettuare analisi complesse, mediante Data Mining e Machine Learning, sui dati in oggetto.

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Mach, Sebastián. "Realizace monitorovacího systému pokojových rostlin v prostředí IoT." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417776.

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This master's thesis is about the design and development of a flower pot sensor, which monitors data related to the cultivation of houseplants. The sensor sends the data to the cloud, where the analysis is performed and the evaluated living conditions of the monitored plant are displayed to the user.

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Laube, Martin, Andreas Günder, Jan Bierod, Volker Jesberger, and Stefan Rauch. "Cytroconnect – a cloud-based IOT-service as connectivity solution for electrohydraulic systems." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71189.

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Conventional electrohydraulic solutions integrate easily into modern machine concepts by utilizing field bus technology. Nevertheless, most use cases are limited to machine automation concepts. Integration into higher-level data and IoT systems is the key for positioning of electrohydraulic solutions within the factory of the future. CytroConnect is a new approach for the integration of electrohydraulic systems into IoT environments and the corresponding market offerings. Bosch Rexroth decided not only to integrate IoT-ready features like pre-installed sensor packages but also a modular automation concept providing decentralized intelligence with an open multi-ethernet interface. An edge-to-cloud connectivity stack operated by Bosch turns the target into a Connected Product. The convergence of physical and digital product can be realized. Based on that the digital service CytroConnect solves concrete holistic use cases like visualization and condition monitoring by offering a web-based dashboard of all relevant sensor data that is accessible everywhere. Modular paid add-ons offered as risk-free monthly subscriptions address further smart maintenance and prediction use cases.

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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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Lindén, Erik. "A latency comparison of IoT protocols in MES." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-136904.

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Many industries are now moving several of their processes into the cloud computing sphere. One important process is to collect machine data in an effective way. Moving signal collection processes to the cloud instead of on premise raises many questions about performance, scalability, security and cost.This thesis focuses on some of the market leading and cutting edge protocols appropriate for industrial production data collection. It investigates and compares the pros and cons of the protocols with respect to the demands of industrial systems. The thesis also presents examples of how the protocols can be used to collect data all the way to a higher-level system such as ERP or MES.The protocols focused on are MQTT and AMQP (in OPC-UA). The possibilities of OPC-UA in cloud computing is of extra interest to investigate in this thesis due to its increasing usage and development.

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Mercado, Luna Renato, and Soto Gabriel Alonso Benavente. "Sistema de gestión de bicicletas compartidas con el uso de IOT y energía sostenible." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/652676.

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En los últimos años, por la coyuntura global y los cambios ambientales cada vez más personas deciden usar medios de transporte eco amigables, siendo las bicicletas el medio más aceptado. Debido a la alta aceptación de este medio de transporte han surgido diversas empresas que ofrecen sistemas de bicicletas compartidas, estos sistemas han tenido una alta acogida en las diversas metrópolis del mundo. Esta alta demanda y acogida de tales sistemas origina una necesidad: la gestión eficiente de los mismos. En vista de ello, en este trabajo se investigó a importantes sistemas de bicicletas compartidas existentes con el fin de identificar los principales componentes de estos y los beneficios que estos sistemas brindan a sus usuarios.
In recent years, due to global situation and environment changes more and more people have decided to use eco-friendly means of transport, being bicycles the most accepted ones. Because of the huge demand of this mean of transport, several companies that offer bike sharing systems had emerged; such systems experience a high acceptance in several world metropolis. This high demand and acceptance of said systems has created a need, “The efficient management of the systems”. In this light, this work is a research of important bike sharing systems already in place, intent to identify the main components of these systems and the benefits they provide to their users.
Trabajo de investigación

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Križanová, Bronislava. "IoT systémy v diagnostice." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417565.

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This master thesis deals with the topic of Internet of Things and its use in technical diagnostic. In theoretical part, there is a description of IoT systems and its parts, history of the IoT, communication modules and cloud systems. The second part of the thesis is focused on the description of technical diagnostic, diagnostic signal, and detailed description of two methods, most appropriate for use in IoT systems and that is vibrodiagnostic and thermodiagnostic. The practical part is focused on the application of the IoT system in technical diagnostics, including the measurement of vibrations and temperature, on the description of application in cloud system and analysis of measured results in cloud system. Prior to the end the more actions in this field of IoT systems has been recommended.

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Suwanphingkha, Filip, and Jari Lompolo. "Fastighetsbranschens framtida utveckling med IoT och plattformar." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20103.

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Digitalisering och dess möjligheter blir en viktigare del inom fastighetsbranschen. Antalet uppkopplade enheter skapar nya affärsmodeller och analyser för resurseffektivitet och hållbar utveckling men står inför stora utmaningar som säkerhet och interoperabilitet. Fastighetsägare kan nyttja sensorer, automatisering och taggar för att skapa ett bättre inomhusklimat och lägre kostnader. Studien undersöker möjligheter och utmaningar med IoT och IT-plattformar som kan bidra till ett mer hållbart samhälle. Genom att studera branschorganisationen Sveriges Allmännytta och hur de kan nå ut till ett stort antal medlemsföretag kan vi framhäva hur fastigheter kan utvecklas med hjälp av Internet of Things. Resultatet visar att teknologin har en positiv påverkan vid bra implementering gällande energianvändning och hållbarhet men även på människan som bor eller vistas i byggnaden. Arbete för gemensamma standard och interoperabilitet av system ökar innovationskraft och möjlighet för fler företag att ta sig in på marknaden.
The digitalization and its potential is taking a more important role within real estate. The amount of connected devices create new business models and analyzes for better resource efficiency and sustainability but face big challenges such as security and interoperability. Real estate owners can utilize sensors, automation and tags to create a better bioclimate och lower costs. The study researches the opportunities and challenges regarding IoT and IT-platforms that can contribute to a sustainable society. By studying the bransch organisation Sveriges Allmännytta och how they can reach a great amount of affiliated companies, we can emphasize buildings can be improved through Internet of Things. The result shows a positive impact when it’s implemented correctly regarding the energy use and sustainability but also on the residents in the building. The work for standards and interoperability of system increases innovation and the possibility for more companies to enter the market.

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Joel, Jaldemark. "Remote control of frequency inverter." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41400.

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Emotron has a frequency inverter on the market that different industries uses in their factories. In case of errors they need to send out service to the factories in order to examine the inverter and find the error. They now want a solution that makes it possible for them to give support without leaving the office by connecting their devices to the cloud which eliminates the need to send out staff to industries. Emotron gave this task to HMS and has been possible with their product Anybus wiress bolt. By connecting the Anybus wireless bolt to the inverter it was possible to communicate with the cloud, MicrosoftAzure, where a static webb application is hosted. The application is made to look like the terminal on the inverter and has similiar structures and functionality. Through the application users can communicate withthe inverter by means of controlling the connected motor, reading registers and also write to certain registers. These registers contain different measurement and option parameters. The purpose of this thesis was to create a Proof-of-Concept solution using the Anybus wireless bolt. The thesis has shown of industries can use Anybus wireless bolt and the tag engine to make it possible to create a link between machines and the ever- growing cloud and is also the first part of a bigger project.

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Al-Kaseem, Bilal R. "Optimised cloud-based 6LoWPAN network using SDN/NFV concepts for energy-aware IoT applications." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15642.

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The Internet of Things (IoT) concept has been realised with the advent of Machineto-Machine (M2M) communication through which the vision of future Internet has been revolutionised. IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) provides feasible IPv6 connectivity to previously isolated environments, e.g. wireless M2M sensors and actuator networks. This thesis's contributions include a novel mathematical model, energy-efficient algorithms, and a centralised software controller for dynamic consolidation of programmability features in cloud-based M2M networks. A new generalised joint mathematical model has been proposed for performance analysis of the 6LoWPAN MAC and PHY layers. The proposed model differs from existing analytical models as it precisely adopts the 6LoWPAN specifications introduced by the Internet Engineering Task Force (IETF) working group. The proposed approach is based on Markov chain modelling and validated through Monte-Carlo simulation. In addition, an intelligent mechanism has been proposed for optimal 6LoWPAN MAC layer parameters set selection. The proposed mechanism depends on Artificial Neural Network (ANN), Genetic Algorithm (GA), and Particles Swarm Optimisation (PSO). Simulation results show that utilising the optimal MAC parameters improve the 6LoWPAN network throughput by 52-63% and reduce end-to-end delay by 54-65%. This thesis focuses on energy-efficient data extraction and dissemination in a wireless M2M sensor network based on 6LoWPAN. A new scalable and self-organised clustering technique with a smart sleep scheduler has been proposed for prolonging M2M network's lifetime and enhancing network connectivity. These solutions succeed in overcoming performance degradation and unbalanced energy consumption problems in homogeneous and heterogeneous sensor networks. Simulation results show that by adopting the proposed schemes in multiple mobile sink sensory field will improve the total aggregated packets by 38-167% and extend network lifetime by 30-78%. Proof-of-concept real-time hardware testbed experiments are used to verify the effectiveness of Software-Defined Networking (SDN), Network Function Virtualisation (NFV) and cloud computing on a 6LoWPAN network. The implemented testbed is based on open standards development boards (i.e. Arduino), with one sink, which is the M2M 6LoWPAN gateway, where the network coordinator and the customised SDN controller operated. Experimental results indicate that the proposed approach reduces network discovery time by 60% and extends the node lifetime by 65% in comparison with the traditional 6LoWPAN network. Finally, the thesis is concluded with an overall picture of the research conducted and some suggestions for future work.

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Raffa, Viviana. "Edge/cloud virtualization techniques and resources allocation algorithms for IoT-based smart energy applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22864/.

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Nowadays, the installation of residential battery energy storage (BES) has increased as a consequence of the decrease in the cost of batteries. The coupling of small-scale energy generation (residential PV) and residential BES promotes the integration of microgrids (MG), i.e., clusters of local energy sources, energy storages, and customers which are represented as a single controllable entity. The operations between multiple grid-connected MGs and the distribution network can be coordinated by controlling the power exchange; however, in order to achieve this level of coordination, a control and communication MG interface should be developed as an add-on DMS (Distribution Management System) functionality to integrate the MG energy scheduling with the network optimal power flow. This thesis proposes an edge-cloud architecture that is able to integrate the microgrid energy scheduling method with the grid constrained power flow, as well as providing tools for controlling and monitoring edge devices. As a specific case study, we consider the problem of determining the energy scheduling (amount extracted/stored from/in batteries) for each prosumer in a microgrid with a certain global objective (e.g. to make a few energy exchanges as possible with the main grid). The results show that, in order to have better optimization of the BES scheduling, it is necessary to evaluate the composition of a microgrid in such a way as to have balanced deficits and surpluses, which can be performed with Machine Learning (ML) techniques based on past production and consumption data for each prosumer.

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Wheeler, Nathan. "On the Effectiveness of an IOT - FOG - CLOUD Architecture for a real-world application." UNF Digital Commons, 2018. https://digitalcommons.unf.edu/etd/855.

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Fog Computing is an emerging computing paradigm that shifts certain processing closer to the Edge of a network, generally within one network hop, where latency is minimized, and results can be obtained the quickest. However, not a lot of research has been done on the effectiveness of Fog in real-world applications. The aim of this research is to show the effectiveness of the Fog Computing paradigm as the middle layer in a 3-tier architecture between the Internet of Things (IoT) and the Cloud. Two applications were developed: one utilizing Fog in a 3-tier architecture and another application using IoT and Cloud with no Fog. A quantitative and qualitative analysis followed the application development, with studies focused on application response time and walkthroughs for AWS Greengrass and Amazon Machine Learning. Furthermore, the application itself demonstrates an architecture which is of both business and research value, providing a real-life coffee shop use-case and utilizing a newly available Fog offering from Amazon known as Greengrass. At the Cloud level, the newly available Amazon Machine Learning API was used to perform predictive analytics on the data provided by the IoT devices. Results suggest that Fog-enabled applications have a much lower range of response times as well as lower response times overall. These results suggest Fog-enabled solutions are suitable for applications which require network stability and reliably lower latency.

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Celiz, Rodrigo Cubas, La Cruz Yasmin Escriba De, and David Mauricio Sanchez. "Cloud Model for Purchase Management in Health Sector of Peru based on IoT and Blockchain." Institute of Electrical and Electronics Engineers Inc, 2019. http://hdl.handle.net/10757/625219.

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Purchase management of medical supplies is a critical and important process that affects the services provision quality. Nonetheless, it is facing a growing pressure to provide visibility and traceability of the purchase, to reduce fraud, to improve flexibility and to ensure communication between everyone involved. Currently, private health institutions in Peru choose to implant different software products within the same company with restricted visibility access to other concerned parties and based on information from a single source. A new alternative is Blockchain technology, since it provides a single source of shared truth to all participants and ensures that the information cannot be altered, thus offering high levels of transparency that, together with IoT technology, creates not only visibility about where things are, but also traceability, showing the current state of things.
Revisón por pares

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Fuentes, Villanueva Henry Gustavo. "Sistema de medición inteligente de consumo de agua en hogares usando IoT y Cloud Computing." Master's thesis, Universidad Nacional Mayor de San Marcos, 2021. https://hdl.handle.net/20.500.12672/17259.

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En la actualidad, en varios lugares del mundo, el consumo de agua no es medido y visualizado en tiempo real, además, las fugas de agua no son detectadas a tiempo y con alta precisión, por lo que se genera un desperdicio innecesario de agua. Es por ello que, en esta tesis, se presenta la implementación de un sistema de medición inteligente del consumo de agua bajo una arquitectura, con alto desacoplamiento e integración de diversas tecnologías, que permite visualizar, en tiempo real, estos consumos, además, se propone un algoritmo de detección de fugas basado en reglas, contexto histórico y ubicación del usuario que logra cubrir 10 posibles escenarios de consumo de agua entre consumo normal y anómalos. El sistema permite recopilar los datos desde un medidor inteligente, el cual es preprocesado en un servidor local (Gateway) y enviado a la Cloud cada cierto tiempo para ser analizado por el algoritmo de detección de fugas y, simultáneamente, ser visualizado desde una interfaz web. Los resultados muestran 100 % de exactitud (Accuracy), exhaustividad (Recall), precisión (Precision) y valor F1 (F1 Score) en el algoritmo para detectar fugas, superior a otros trabajos, y un margen de error de 4.63 % en el registro de la cantidad de agua consumida.

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Winberg, André, and Ramin Alberto Golrang. "Analytics as a Service : Analysis of services in Microsoft Azure." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-47655.

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Ma, Kun. "Resource management in the cloud: An end-to-end Approach." University of Western Cape, 2020. http://hdl.handle.net/11394/7886.

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Philosophiae Doctor - PhD
Cloud Computing enables users achieve ubiquitous on-demand , and convenient access to a variety of shared computing resources, such as serves network, storage ,applications and more. As a business model, Cloud Computing has been openly welcomed by users and has become one of the research hotspots in the field of information and communication technology. This is because it provides users with on-demand customization and pay-per-use resource acquisition methods.

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Grubitzsch, Philipp. "Intercloud-Kommunikation für Mehrwehrtdienste von Cloud-basierten Architekturen im Internet of Things." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-236210.

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Das Internet of Things (IoT) ist aktuell ein junger Wachstumsmarkt, dessen Bedeutung für unsere Gesellschaft in naher Zukunft vielen Menschen erst noch wirklich bewusst werden wird. Die Subdomänen Smart-Home, Smart-Grid, Smart-Mobility, Industrie 4.0, Smart-Health und viele mehr sind wichtig für unsere zukünftige Wettbewerbsfähigkeit, die Herausforderungen zur Bewältigung des Klimawandels, unsere Gesundheit, aber auch für trivialere Dinge wie Komfort. Andererseits ergibt sich hierbei bereits dasselbe große Problem, das in einer ähnlichen Form schon bei klassischem Cloud-Computing bekannt ist: Vendor-Silos, die keinen hersteller- oder anbieterübergreifenden Austausch von Gerätedaten ermöglichen, verhindern eine schnelle Verbreitung dieser neuen Technologie. Diensteanbieter müssen ihre Produkte aufwendig für unzählige Technologien bereitstellen, was die Entwicklung von Diensten unnötig teuer macht und letztendlich das Dienstangebot insgesamt einschränkt. Cloud-Computing wird dabei in Zukunft eine wichtige Rolle spielen. Die Dissertation beschäftigt sich daher mit dem Problem IoT-Gerätedaten an IoT-Clouds plattformübergreifend und anbieterübergreifend nutzbar zu machen. Die Motivation und die adressierte Forschungslücke zeigen die Notwendigkeit der Beschäftigung mit dem Thema auf. Ausgehend davon, wird das Konzept einer dezentral organisierten IoT-Intercloud vorgeschlagen, welches in der Lage ist heterogene IoT-Clouds zu integrieren. Die Analyse des Standes der Technik zeigt, das IoT-Clouds genügend Eigenschaften teilen, um in Zukunft eine Adaption zu einer einheitlichen Schnittstelle für die IoT-Intercloud zu schaffen. Das Konzept umfasst zunächst die Komponentenarchitektur eines Intercloud-Brokers zur Etablierung einer IoT-Intercloud. Ausgehend davon wird in vertiefenden Teilkonzepten ein Discovery-Service zum Finden von Gerätedaten und einem Push-Stream-Provider, für die Zustellung von IoT-Event-Notifications in Echtzeit, behandelt. Eine Evaluation zeigt letztlich die praxistaugliche Realisierbarkeit, Skalierbarkeit und Performance der Konzeption und des implementierten Prototyps.

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Новоселов, С. П., Ю. М. Олександров, О. В. Сичова, and С. І. Теслюк. "Управління автоматизованою системою керування освітленням NURE Energy з використанням мікросервісів." Thesis, ХНУРЕ, 2019. http://openarchive.nure.ua/handle/document/10044.

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В даній статті описується метод керування освітленням за допомогою автоматизованої системи управління NURE-Energy. В якості ядра системи використовуються мікросервіси. Програма управління автоматизованою системою здійснює облік, контроль, відображення інформації у вигляді діаграм, функції обміну і передачі інформації за допомогою Web технологій. Використання IoT Cloud дозволяє обробляти велику кількість даних, що надходить від багатьох датчиків, які розповсюджені на об’єкті керування. В якості системи керування та зберігання даних використовуються Elasticsearch

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Schiavi, Daniele. "Progettazione e prototipazione di una piattaforma cloud ibrida per il monitoraggio della salute." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23158/.

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La tesi tratta la progettazione di un'architettura di riferimento e lo sviluppo prototipale di una piattaforma per la raccolta di dati sanitari, relativi a diversi pazienti, attraverso l'utilizzo di dispositivi commerciali eterogenei, per poi renderli disponibili attraverso un modello standard per diverse tipologie di utilizzo. Nei primi capitoli viene illustrato lo studio effettuato sulla telemedicina ed in particolare sul telemonitoraggio, definendo il quadro di contesto nel quale è situata la tesi. Successivamente sono illustrati i requisiti ed una loro fase di analisi che hanno guidato la progettazione dell'architettura. Infine si è sviluppato un prototipo di una piattaforma basata sull'architettura realizzata per validarla, calandola in un caso d'uso reale, e verificarne la fattibilità. Essa è stata calata nel caso Covid-19, dato il periodo attuale, proponendo una piattaforma in grado di raccogliere i dati rilevanti per individuare i sintomi di tale malattia, consentendo quindi il monitoraggio di pazienti sani o che hanno già contratto il virus.

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Piscaglia, Daniele. "Supporto e Infrastrutture DevOps per Microservizi IoT su Edge Gateway." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Progetto svolto durante il tirocinio presso l'azienda Bonfiglioli Riduttori che descrive il processo di modifica di una soluzione di predictive maintenance esistente. La soluzione che coinvolge sensori IoT per la raccolta dati e Edge gateway per analisi e processamento, è stata rivisitata in funzione di importanti meccaniche di amministrazione e manutenzione. Il focus principale della tesi è su come questi sistemi distribuiti richiedano un approccio differente alla distribuzione dei microservizi e alla gestione dei dispositivi e come l'utilizzo delle varie tipologie di piattaforme IoT possano ridurre il carico sulle spalle degli sviluppatori.

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Tullini, Lorenzo. "Progettazione e realizzazione di una piattaforma IoT altamente scalabile per il monitoraggio di parametri ambientali." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24703/.

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Lo scopo di questo lavoro di tesi è progettare e realizzare un’architettura completa e altamente scalabile per il monitoraggio ambientale. Sono stati quindi progettati e implementati nodi sensore che si occupano di rilevare le condizioni meteorologiche (nello specifico temperatura, umidità e pressione), i livelli di particolato sospeso (PM2.5 e PM10) e i flussi di corrente di un impianto fotovoltaico. I nodi sensore sono stati realizzati, sia dal punto di vista hardware sia dal punto di vista software, implementando tecnologie trasmissive che permettono di minimizzare il consumo energetico e massimizzare il range del segnale. La dissertazione che segue include anche la progettazione e la realizzazione di una piattaforma IoT per la gestione e l’immagazzinamento dei dati prodotti dai sensori. La piattaforma IoT realizzata è distribuita nel Cloud, in particolare in tre piattaforme cloud distinte: Amazon Web Services, Google Cloud Platform e Microsoft Azure. Nel lavoro di tesi è presente un confronto fra i tre provider cloud ottenuto da diversi stress test eseguiti con l’ausilio di un simulatore, anch’esso progettato e sviluppato, che è in grado di simulare reti di sensori di notevoli dimensioni. Infine, sono discussi i modelli di costo di ogni provider cloud utilizzato, supponendo un anno di utilizzo della rete simulata.

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Manqele, Lindelweyizizwe Siziwe. "An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/13731.

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The Internet of things refers to the set of objects that have identities and virtual personalities operating in smart spaces using intelligent interfaces to connect and communicate within social environments and user context. Interconnected devices communicating to each other or to other machines on the network have increased the number of services. The concepts of discovery, brokerage, selection and reliability are important in dynamic environments. These concepts have emerged as an important field distinguished from conventional distributed computing by its focus on large-scale resource sharing, delivery and innovative applications. The usage of Internet of Things technology across different service provisioning environments has increased the challenges associated with service selection and discovery. Although a set of terms can be used to express requirements for the desired service, a more detailed and specific user interface would make it easy for the users to express their requirements using high-level constructs. In order to address the challenge of service selection and discovery, we developed an architecture that enables a representation of user preferences and manipulates relevant descriptions of available services. To ensure that the key components of the architecture work, algorithms (content-based and collaborative filtering) derived from the architecture were proposed. The architecture was tested by selecting services using content-based as well as collaborative algorithms. The performances of the algorithms were evaluated using response time. Their effectiveness was evaluated using recall and precision. The results showed that the content-based recommender system is more effective than the collaborative filtering recommender system. Furthermore, the results showed that the content-based technique is more time-efficient than the collaborative filtering technique.

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Bassi, Lorenzo. "Orchestration of a MEC-based multi-protocol IoT environment." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24114/.

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Nowadays we are witnessing to a continuous increasing of the number of IoT devices that must be configured and supported by modern networks. Considering an industrial environment, there is a huge number of these devices that need to coexist at the same time. Each one of them is using its own communication/transport protocol, and a huge effort needs to be done during the setup of the system. In addition, there are also different kind of architectures that can be used. That’s why the network setup is not so easy in this kind of heterogeneous environment. The answer to all these problems can be found in the emerging cloud and edge computing architectures, allowing new opportunities and challenges. They are capable of enable on-demand deployment of all the IoT services. In this thesis is proposed a Multi-access Edge Computing (MEC) approach to face all the possible multi-protocol scenarios. All the services are transformed into MEC-based services, even if they are running over multiple technological domains. As result, was proved that this kind of solution is effective and can simplify the deployment of IoT services by using some APIs defined by the MEC standard. As above mentioned, one of the most important tasks of these new generation’s networks is to be self-configurable in very low amount of time and this will be the scope of my research. The aim of this thesis is to try to reduce as much as possible the time that a certain network requires to be self-configured in an automatic way considering an Industrial IoT as a Service (IIoTaaS) scenario.

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Vargas, Vargas Fernando. "Cloudlet for the Internet-of- Things." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191433.

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With an increasing number of people currently living in urban areas, many cities around the globe are faced with issues such as increased pollution and traffic congestion. In an effort to tackle such challenges, governments and city councils are formulating new and innovative strategies. The integration of ICT with these strategies creates the concept of smart cities. The Internet of Things (IoT) is a key driver for smart city initiatives, making it necessary to have an IT infrastructure that can take advantage of the many benefits that IoT can provide. The Cloudlet is a new infrastructure model that offers cloud-computing capabilities at the edge of the mobile network. This environment is characterized by low latency and high bandwidth, constituting a novel ecosystem where network operators can open their network edge to third parties, allowing them to flexibly and rapidly deploy innovative applications and services towards mobile subscribers. In this thesis, we present a cloudlet architecture that leverages edge computing to provide a platform for IoT devices on top of which many smart city applications can be deployed. We first provide an overview of existing challenges and requirements in IoT systems development. Next, we analyse existing cloudlet solutions. Finally, we present our cloudlet architecture for IoT, including design and a prototype solution. For our cloudlet prototype, we focused on a micro-scale emission model to calculate the CO2 emissions per individual trip of a vehicle, and implemented the functionality that allows us to read CO2 data from CO2 sensors. The location data is obtained from an Android smartphone and is processed in the cloudlet. Finally, we conclude with a performance evaluation.
Med en befolkning som ökar i urbana områden, står många av världens städer inför utmaningar som ökande avgaser och trafikstockning. I ett försök att tackla sådana utmaningar, formulerar regeringar och stadsfullmäktige nya och innovativa strategier. Integrationen av ICT med dessa strategier bildar konceptet smart cities. Internet of Things (IoT) är en drivande faktor för smart city initiativ, vilket gör det nödvändigt för en IT infrastruktur som kan ta till vara på de många fördelar som IoT bidrar med. Cloudlet är en ny infrastrukturell modell som erbjuder datormolnskompetens i mobilnätverkets edge. Denna miljö karakteriseras av låg latens och hög bandbredd, utgörande ett nytt ekosystem där nätverksoperatörer kan hålla deras nätverks-edge öppet för utomstående, vilket tillåter att flexibelt och snabbt utveckla innovativa applikationer och tjänster för mobila subskribenter. I denna avhandling presenterar vi en cloudlet-arkitektur som framhäver edge computing, för att förse en plattform för IoT utrustning där många smart city applikationer kan utvecklas. Vi förser er först med en överblick av existerande utmaningar och krav i IoT systemutveckling. Sedan analyserar vi existerande cloudlet lösningar. Slutligen presenteras vår cloudlet arkitektur för IoT, inklusive design och en prototyplösning. För vår cloudlet-prototyp har vi fokuserat på en modell av mikroskala för att räkna ut CO2 emissioner per enskild resa med fordon, och implementerat en funktion som tillåter oss att läsa CO2 data från CO2 sensorer. Platsdata är inhämtad med hjälp av en Android smartphone och behandlas i cloudlet. Det hela sammanfattas med en prestandaevaluering.

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Pirahandeh, Mehdi. "A systematic literature review on cloud of things vulnerability." Thesis, Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-15041.

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Every day, a new publication on information systems highlights about Cloud of Things (CoT) vulnerabilities; in most of these publications, vulnerability is quoted as the most substantial barrier for CoT realization. However, formulating a justifiable appraisement of the actual vulnerability impact on CoT is difficult because in many of these publications, the term security “vulnerability” is stated incorrectly as a threat or the publication does not discuss CoT-specific vulnerabilities. To achieve a well-founded understanding of CoT vulnerabilities, this literature review identifies the major vulnerabilities and their security controls and to identify any gaps for future research. A systematic literature review (SLR) approach using 58 articles is considered for this review. Based on this review, a taxonomy is created to classify the existing CoT vulnerabilities and security controls. This literature review identifies and discusses similarities and differences among various vulnerability issues and solutions. Most reviews previously performed were limited to the threats to the application interface and virtualization level, whereas this SLR thesis expand to the vulnerabilities in connectivity and things level of CoT. This study emphasize the importance of a clear definition of cloud of things vulnerabilities and to facilitate better understanding and assessment of CoT vulnerabilities to build more secure systems.

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Gigli, Lorenzo. "WoT Store: una piattaforma per l'interoperabilità semantica in contesti IoT e WoT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17936/.

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Partendo da un'analisi dell'Internet of Things (IoT) e del Web of Things (WoT), delle loro criticità e delle possibili soluzioni, viene proposta la realizzazione di una piattaforma: WoT Store che, rispettando gli standard del W3C WoT, permetta una semplice e ampia operabilità su applicazioni e Thing su base semantica. Per quanto riguarda le applicazioni il WoT Store ne effettua la distribuzione, la ricerca e l'installazione. Permette inoltre la ricerca e la visualizzazione interattiva delle Thing disponibili e la selezione delle applicazioni compatibili con esse. Il lavoro è da considerarsi in una fase dinamica, non solo in quanto necessita di continuo adeguamento con gli standard W3C, ma anche perchè si può prevedere l'implementazione della compra-vendita delle applicazioni e dei dati delle Thing tramite criptovaluta.

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Antonini, Mattia. "From Edge Computing to Edge Intelligence: exploring novel design approaches to intelligent IoT applications." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/308630.

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The Internet of Things (IoT) has deeply changed how we interact with our world. Today, smart homes, self-driving cars, connected industries, and wearables are just a few mainstream applications where IoT plays the role of enabling technology. When IoT became popular, Cloud Computing was already a mature technology able to deliver the computing resources necessary to execute heavy tasks (e.g., data analytic, storage, AI tasks, etc.) on data coming from IoT devices, thus practitioners started to design and implement their applications exploiting this approach. However, after a hype that lasted for a few years, cloud-centric approaches have started showing some of their main limitations when dealing with the connectivity of many devices with remote endpoints, like high latency, bandwidth usage, big data volumes, reliability, privacy, and so on. At the same time, a few new distributed computing paradigms emerged and gained attention. Among all, Edge Computing allows to shift the execution of applications at the edge of the network (a partition of the network physically close to data-sources) and provides improvement over the Cloud Computing paradigm. Its success has been fostered by new powerful embedded computing devices able to satisfy the everyday-increasing computing requirements of many IoT applications. Given this context, how can next-generation IoT applications take advantage of the opportunity offered by Edge Computing to shift the processing from the cloud toward the data sources and exploit everyday-more-powerful devices? This thesis provides the ingredients and the guidelines for practitioners to foster the migration from cloud-centric to novel distributed design approaches for IoT applications at the edge of the network, addressing the issues of the original approach. This requires the design of the processing pipeline of applications by considering the system requirements and constraints imposed by embedded devices. To make this process smoother, the transition is split into different steps starting with the off-loading of the processing (including the Artificial Intelligence algorithms) at the edge of the network, then the distribution of computation across multiple edge devices and even closer to data-sources based on system constraints, and, finally, the optimization of the processing pipeline and AI models to efficiently run on target IoT edge devices. Each step has been validated by delivering a real-world IoT application that fully exploits the novel approach. This paradigm shift leads the way toward the design of Edge Intelligence IoT applications that efficiently and reliably execute Artificial Intelligence models at the edge of the network.

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Kambhampaty, Krishna Kanth. "Detecting Insider and Masquerade Attacks by Identifying Malicious User Behavior and Evaluating Trust in Cloud Computing and IoT Devices." Diss., North Dakota State University, 2019. https://hdl.handle.net/10365/29914.

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There are a variety of communication mediums or devices for interaction. Users hop from one medium to another frequently. Though the increase in the number of devices brings convenience, it also raises security concerns. Provision of platform to users is as much important as its security. In this dissertation we propose a security approach that captures user behavior for identifying malicious activities. System users exhibit certain behavioral patterns while utilizing the resources. User behaviors such as device location, accessing certain files in a server, using a designated or specific user account etc. If this behavior is captured and compared with normal users? behavior, anomalies can be detected. In our model, we have identified malicious users and have assigned trust value to each user accessing the system. When a user accesses new files on the servers that have not been previously accessed, accessing multiple accounts from the same device etc., these users are considered suspicious. If this behavior continues, they are categorized as ingenuine. A trust value is assigned to users. This value determines the trustworthiness of a user. Genuine users get higher trust value and ingenuine users get a lower trust value. The range of trust value varies from zero to one, with one being the highest trustworthiness and zero being the lowest. In our model, we have sixteen different features to track user behavior. These features evaluate users? activities. From the time users? log in to the system till they log out, users are monitored based on these sixteen features. These features determine whether the user is malicious. For instance, features such as accessing too many accounts, using proxy servers, too many incorrect logins attribute to suspicious activity. Higher the number of these features, more suspicious is the user. More such additional features contribute to lower trust value. Identifying malicious users could prevent and/or mitigate the attacks. This will enable in taking timely action against these users from performing any unauthorized or illegal actions. This could prevent insider and masquerade attacks. This application could be utilized in mobile, cloud and pervasive computing platforms.

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Passeri, Luca. "Pervasive Jarvis: Evoluzione di un Sistema IoT per le Smart Home." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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L'enorme crescita dell'Internet of Things ha permesso una trasformazione degli ambienti in cui viviamo tramite la diffusione di dispositivi sempre più intelligenti, in grado di interagire tra loro e con il mondo esterno. In questo scenario si introduce Jarvis, un assistente virtuale per case ed uffici. Jarvis integra diversi prodotti e servizi, mettendo a disposizione dell'utente numerose funzionalità che permettono di automatizzare un'abitazione e controllarla da remoto. Questo progetto si propone di evolvere Jarvis rendendolo conforme allo standard attuale dei sistemi IoT per le smart home, in particolare tenendo conto di concetti come “pervasive computing” e “Web of Things”. Lo scopo principale è quello di trasformare Jarvis in modo da aumentarne significativamente le capacità. In particolare si intende rendere tale assistente più pervasivo, in modo che sia possibile interagirvi in ogni ambiente, e permettere una maggior apertura verso il mondo esterno, consentendo di interagire con l'enorme quantità di dispositivi e servizi nel Web.

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Nergis, Damirag Melodi. "Web Based Cloud Interaction and Visualization of Air Pollution Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254401.

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According to World Health Organization, around 7 million people die every year due to diseases caused by air pollution. With the improvements in Internet of Things in the recent years, environmental sensing systems has started to gain importance. By using technologies like Cloud Computing, RFID, Wireless Sensor Networks, and open Application Programming Interfaces, it has become easier to collect data for visualization on different platforms. However, collected data need to be represented in an efficient way for better understanding and analysis, which requires design of data visualization tools. The GreenIoT initiative aims to provide open data with its infrastructure for sustainable city development in Uppsala. An environmental web application is presented within this thesis project, which visualizes the gathered environmental data to help municipality organizations to implement new policies for sustainable urban planning, and citizens to gain more knowledge to take sustainable decisions in their daily life. The application has been developed making use of the 4Dialog API, which is developed to provide data from a dedicated cloud storage for visualization purposes. According to the evaluation presented in this thesis, further development is needed to improve the performance to provide faster and more reliable service as well as the accessibility to promote openness and social inclusion.
Enligt World Health Organization dör 7 miljoner människor varje år på grund av sjukdomar orsakade av luftföroreningar. Med förbättringar inom Internet of Things under senare år, har betydelsen av system för miljösensorer. Genom att använda tekniker som molntjänster, RFID, trådlösa sensornätverk och öppna programmeringsgränssnitt, har det blivit enklare att samla in data för visualisering på olika plattformar. Men insamlad data behöver bli representerad på ett effektivt sätt för bättre förståelse och analys, vilket kräver utformande av verktyg för visualisering av data. Initiativet GreenIoT strävar mot att erbjuda öppen data med sin infrastruktur för hållbar stadsutveckling i Uppsala. I detta arbete presenteras en webb-tillämpning, som visualiserar den insamlade miljödatan för att hjälpa kommunen att implementera nya policies för hållbar stadsutveckling, och stimulera medborgare till att skaffa mer kunskap för att göra miljövänliga val i sin vardag. Tillämpningen har utvecklats med hjälp av 4Dialog API, som tillhandahåller data från lagring i molnet för visualiseringssyfte. Enligt den utvärdering som presenteras i denna rapport konstateras att vidare utveckling behövs för att förbättra dels prestanda för att erbjuda en snabbare och mer tillförlitlig service, och dels åtkomstmöjligheter för att främja öppenhet och social inkludering.

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Capucci, Mattia. "Applicazioni di tecnologie IoT e wearable alla domotica: un caso di studio." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9205/.

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Oggigiorno milioni di persone fanno uso di Internet per gli utilizzi più disparati: dalla ricerca di informazioni sul Web al gioco online; dall'invio e ricezione di email all'uso di applicazioni social e tante altre attività. Mentre milioni di dispositivi ci offrono queste possibilità, un grande passo in avanti sta avvenendo in relazione all'uso di Internet come una piattaforma globale che permetta a oggetti di tutti i giorni di coordinarsi e comunicare tra di loro. È in quest'ottica che nasce Internet of Things, l'Internet delle cose, dove un piccolo oggetto come un braccialetto può avere un grande impatto nel campo medico per il monitoraggio da remoto di parametri vitali o per la localizzazione di pazienti e personale e l'effettuazione di diagnosi da remoto; dove un semplice sensore ad infrarosso può allertarci a distanza di una presenza non autorizzata all'interno della nostra abitazione; dove un'autovettura è in grado di leggere i dati dai sensori distribuiti sulla strada. Questa tesi vuole ripercorrere gli aspetti fondamentali di Internet of Things, dai sistemi embedded fino alla loro applicazione nella vita odierna, illustrando infine un progetto che mostra come alcune tecnologie IoT e wearable possano integrarsi nella domotica, come per esempio l'utilizzo di uno smartwatch, come Apple Watch, per il controllo dell'abitazione.

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Amara, Pavan Kumar. "Towards a Unilateral Sensor Architecture for Detecting Person-to-Person Contacts." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404573/.

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The contact patterns among individuals can significantly affect the progress of an infectious outbreak within a population. Gathering data about these interaction and mixing patterns is essential to assess computational modeling of infectious diseases. Various self-report approaches have been designed in different studies to collect data about contact rates and patterns. Recent advances in sensing technology provide researchers with a bilateral automated data collection devices to facilitate contact gathering overcoming the disadvantages of previous approaches. In this study, a novel unilateral wearable sensing architecture has been proposed that overcome the limitations of the bi-lateral sensing. Our unilateral wearable sensing system gather contact data using hybrid sensor arrays embedded in wearable shirt. A smartphone application has been used to transfer the collected sensors data to the cloud and apply deep learning model to estimate the number of human contacts and the results are stored in the cloud database. The deep learning model has been developed on the hand labelled data over multiple experiments. This model has been tested and evaluated, and these results were reported in the study. Sensitivity analysis has been performed to choose the most suitable image resolution and format for the model to estimate contacts and to analyze the model's consumption of computer resources.

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Kari, Tim, and Wesley Kleinreesink. "Internet-of-Things and cloud computing adoption in manufacturing among small to medium sized enterprises in Sweden : A multiple case study on current IoT and cloud computing technology adoption within Swedish SMEs." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95952.

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Title: Internet of things and cloud computing adoption within manufacturing among small to medium sized enterprises in Sweden. Authors: Tim Kari and Wesley Kleinreesink Background & Problem discussion: Industries in Europe are facing economic challenges related to global societal and technological developments. The adoption of industry 4.0 technologies such as IoT and cloud computing within manufacturing can be used as a solution to these challenges. SMEs form the backbone of the Swedish economy, making up a large amount of the employment and added value within the country, making them important in this context. Little is known about the maturity levels of IoT and cloud computing and the challenges encountered during adoption of of these technologies by Swedish SMEs. Purpose: The purpose of this thesis is to investigate maturity levels of IoT and cloud computing adoptions and the associated adoption challenges by looking at Swedish SMEs in the manufacturing industry that are adopting or are interested in adopting IoT and cloud computing technologies within their manufacturing. By addressing the maturity levels and adoption challenges found among the cases and providing more insight into the context in which these are occurring. These insights can then be used for the purposes of addressing maturity levels as practitioner and contributing to current literature regarding maturity levels and adoption challenges found. Method: Following an exploratory research strategy, qualitative data has been gathered both in the form of a literature review as well as a multiple case study through semi-structured interviews. The data has then been analyzed by conducting a conceptual analysis, a cross-case synthesis and pattern matching Findings & Conclusion: The findings indicate that the levels of maturity vary highly between categories and cases, with only a few examples of reaching higher (integrated) levels of maturity. Adoption challenges found were mainly centered around organizational and human challenges as opposed to technical ones, indicating that further focus needs to be put on organizational change management. Furthermore, an apparent lack of knowledge among the case companies may explain both the narrow and simple implementations of IoT and cloud computing as well as the lack of drivers for further adoption. The implications of this means that managers need a larger focus on change management and more comprehensive implementation plans. There is also the need to consider the need for digitalization and to do it in an efficient and useful manner. Further research is needed on these topics, with possible avenues being a focus on smaller companies, a study with a larger sample size or a focus on industries with a higher volume of production as the ones presented in this study were all relatively low-volume.

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Amara, Pavan Kumar. "Towards a Unilateral Sensor Architecture for Detecting Person-to-Person Contacts." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc1703441/.

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The contact patterns among individuals can significantly affect the progress of an infectious outbreak within a population. Gathering data about these interaction and mixing patterns is essential to assess computational modeling of infectious diseases. Various self-report approaches have been designed in different studies to collect data about contact rates and patterns. Recent advances in sensing technology provide researchers with a bilateral automated data collection devices to facilitate contact gathering overcoming the disadvantages of previous approaches. In this study, a novel unilateral wearable sensing architecture has been proposed that overcome the limitations of the bi-lateral sensing. Our unilateral wearable sensing system gather contact data using hybrid sensor arrays embedded in wearable shirt. A smartphone application has been used to transfer the collected sensors data to the cloud and apply deep learning model to estimate the number of human contacts and the results are stored in the cloud database. The deep learning model has been developed on the hand labelled data over multiple experiments. This model has been tested and evaluated, and these results were reported in the study. Sensitivity analysis has been performed to choose the most suitable image resolution and format for the model to estimate contacts and to analyze the model's consumption of computer resources.

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47

Maraczek, Patrik. "Návrh a realizace systému zpracování dat z environmentálních čidel v prostředí IoT." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417775.

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The master’s thesis deal with design and realization of measuring station, which process data from environmental sensors in IoT environment. Thesis includes research of sensors, cloud services for IoT, microcontrollers and environmental data available online. Thesis contains detailed procedure for realization of designed system, including code description for microcontrollers STM32W55 and STM32 B-L475E-IOT01A2 Discovery kit, configuration of IBM Watson IoT Platform cloud service and procedure for correct programming of Node-RED application responsible for logic of whole system. Source code, which might be used for simple implementation of designed system, is attached to the master’s thesis.

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Miccoli, Roberta. "Implementation of a complete sensor data collection and edge-cloud communication workflow within the WeLight project." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22563/.

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This thesis aims at developing the full workflow of data collection from a laser sensor connected to a mobile application, working as edge device, which subsequently transmits the data to a Cloud platform for analysing and processing. The project is part of the We Light (WErable LIGHTing for smart apparels) project, in collaboration with TTLab of the INFN (National Institute of Nuclear Physics). The goal of We Light is to create an intelligent sports shirt, equipped with sensors that take information from the external environment and send it to a mobile device. The latter then sends the data via an application to an open source Cloud platform in order to create a real IoT system. The smart T-shirt is capable of emitting different levels of light depending on the perceived external light, with the aim of ensuring greater safety for road sports people. The thesis objective is to employ a prototype board provided by the CNR-IMAMOTER to collect data and send it to the specially created application via Bluetooth Low Energy connection. Furthermore, the connection between the edge device and the Thingsboard IoT platform is performed via MQTT protocol. Several device authentication techniques are implemented on TB and a special dashboard is created to display data from the IoT device; the user is also able to view data in numerical and even graphical form directly in the application without necessarily having to access TB. The app created is useful and versatile and can be adapted to be used for other IoT purposes, not only within the We Light project.

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Mata, Carlos. "Development and Evaluation of an Open Platform for Recording, Storage, Visualization and Analysis of Biosignals on the Cloud." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233394.

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There is a large number of biosignals that can be obtained from the human body. Repositories of biosignals are used for researchers in many studies as datasets. Datasets with clinical and personal information have many regulations and they are not accessible to everyone. Platforms with acquisition, recording and visualization of data are currently used in homecare systems for monitoring patients in an effcient way. Distant monitoring allows a good and prompt communication between patients and physicians. This work describes the design and development of a platform at hardware and software level for recording, storage, visualization and analysis of biosignals on the cloud. For the platform, IoT and Cloud Computing resources were used. Open-source and free software are considered for an easy and flexible enlargement of the system.

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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 Policy. Furthermore, we measure the impact of delay by fixing the amount of traffic generated by the network. Numerical results of our considered scenarios show that the maximum available capacity policy outperforms two other polices, when the traffic produced in the network is very high. When the traffic is very low, the best policy is the nearest node one. On the other hand, by fixing the amount of traffic we show that when the delay threshold is from 1-3 ms the Maximum capacity policy performs better than two other policies. When the delay threshold is greater than 5 ms the Nearest Node policy shows better results.

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Dissertations / Theses on the topic 'IoT Cloud'

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