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Dissertations / Theses on the topic 'Microsoft Azure'
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Persson, Henrik. "Microsoft Azure i IoT-utveckling." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-55082.
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AF’s office in Karlstad currently offer consultation regarding Internet of Things but are looking to expand into development of services. They have requested that an end-to-end solution is developed in order to demonstrate the technology to potential clients. This thesis describes the work performed to realize an end-to-end solution for connecting sensors and actuators to the cloud. It also describes the problems experienced while working with Microsofts platform for cloud services, Azure.Företaget ÅFs Karlstadkontor bistår i dagsläget med konsultering gällande Internet of Things men vill även börja utveckla och sälja tjänster. För att kunna demonstrera teknologin för potentiella kunder har de begärt att en end-to-end-lösning utvecklas. Den här uppsatsen beskriver det arbete som har utförts för att realisera en end-to-end-lösning för att koppla sensorer och ställdon till molnet. Den redogör även för de svårigheter som upplevdes gällande Microsofts plattform för molntjänster, Azure.
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Barzi, Eddie. "Servizi Serverless di Microsoft Azure." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24298/.
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Questo documento vuole presentare alcuni dei servizi cloud offerti da Microsoft Azure, partendo da una panoramica sul cloud computing e sui vantaggi e svantaggi dell'elaborazione serverless. In particolar modo verranno descritti nel dettaglio tre servizi offerti da Microsoft: Azure App Service, Azure Functions e Azure Durable Functions.
Ci sarà poi un capitolo dedicato a una comparativa generale sugli equivalenti servizi serverless offerti da Amazon AWS, ovvero AWS Lambda per le Azure Functions e AWS Step Functions per Azure Durable Functions.
Infine verrà mostrata la realizzazione di due applicazioni che fanno uso di queste tecnologie, Azure Functions e Azure Durable Functions, procedendo prima con uno sviluppo in locale e poi con il deploy sul cloud.
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Matsson, Carl Philip. "Securing Microsoft Azure : Automatic Access Control List Rule Generation to Secure Microsoft Azure Cloud Networks." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-55295.
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Birgersson, Christoffer. "Site to Cloud lösning i Microsoft Azure." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65764.
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I dagens samhälle så blir vi allt mer och mer beroende av den teknik vi utvecklar, därför är det av större vikt att vi alltid skall ha tillgång till den information som vi behöver för att kunna göra våra dagliga sysslor. Detta lägger större press på att de system som utvecklas skall fungera felfritt och man skall ha snabba responstider för att allt ska flyta på så bra som möjligt och om det så skulle bli en kritisk systemkrasch så skall inte informationen gå helt förlorad. Därför har det blivit populärt att ändra från att ha personliga servrar till att köra allt mer och mer applikationer och information i det så kallade ”molnet”. Därför är det av allt större intresse att ha koll på några av de större leverantörerna av molntjänster och hur man kan använda dessa för att få en bättre verksamhet. Därför kommer denna rapport att handla om hur ett arbete utförts på TeamNorrs begäran för att göra en jämförelse mellan Microsoft Azure, Google Cloud Platform och Amazon Web Services. Den kommer även gå igenom hur responstiderna ser ut till några av världens datacenter med en utgångspunkt från TeamNorrs huvudkontor i Umeå. Rapporten går även igenom hur man själv kan testa på Microsoft Azure, Google Cloud Platform och Amazon Web Services, och hur man i Microsoft Azure kan göra en så kallad ”Site to Cloud” lösning med en VPN tunnel för att kunna skapa en MSSQL backup i molnet. Sedan diskuteras för och nackdelar med det arbete som utförts, samt vilka förbättringar som skulle kunna vara aktuella i framtiden.In todays society we become more and more dependent on the technology we develop, so it is of greater importance that we always have access to the information we need to do our daily tasks. It is more pressing than ever that the developed systems should work well and that you should have quick response times for everything to flow as smooth as possible and if there would be a critical system crash, the information should not be completely lost. Therefore, it has become more popular to go from, having personal servers to use more and more applications and information in the so-called "cloud". That´s why it is becoming increasingly important to keep track of some of the major cloud service providers and how to use them to archive a better business. This report will be about how a work was done at TeamNorrs request to make a comparison between Microsoft Azure, Google Cloud Platform and Amazon Web Services. It will also review the response times to some of the worlds data centers with a starting point from TeamNorrs headquarters in Umeå. It also describe how you can put up your own environment to test Microsoft Azure, Google Cloud Platform and Amazon Web Services, and how to do a so-called "Site to Cloud" solution with a Virtual Private Network tunnel in Microsoft Azure, where it will also show you how you can create an MSSQL backup in the cloud. Then discusses the pros and cons of the work done and what improvements could be relevant for the future.
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Bui, Michael, and Magnus Pedersen. "Implementation of a Log Agent in Microsoft Azure : and packaging it to Azure Marketplace." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-36334.
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Cloud computing is still in an early stage of development and Microsoft is now investing considerable amount of resources in the cloud. Microsoft Azure is a cloud platform developed by Microsoft and it is continuously evolving, new features are constantly being added and old features are being updated. Integration Software, which is a company that focuses on products for system integration strongly believes that cloud-based solutions will have a significant impact on their future. This is why selling and developing solutions and services for the cloud are strategically important for them. The objective of this dissertation is to investigate Microsoft Azure in general and Azure Marketplace in particular. This investigation consisted of an implementation of a Microsoft Azure application and integrating this application with Azure Marketplace and evaluating the expenses for running the application. The purpose for this project is to gain practical experience and to work with new techniques and help Integration Software better understand Azure Marketplace. The application is a Log Agent which fetches data from an external source and resends the data to an external party (Integration Manager). Our first intention was to package and deploy the application to a newly updated Azure Marketplace. The new Azure Marketplace was never released during this dissertation so we decided to deploy the application to the existing version of Azure Marketplace. This was however not fully successful. We encountered some problems in successfully deploying the application to Azure Marketplace. The evaluations for the cost of running an Azure application were not carried out due to lack of time.
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Larsson, Henrik. "Azure Service Bus : en kravstudie." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31045.
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The aim of this study has been to determine whether Microsoft Azure Service Bus has been able to match the needs and demands of Sogeti and its clients during a transition to a distributed and service-oriented system, as well as investi- gate possible gains that can be attained from such a transition. The study has also critically examined the potential problems and difficulties that may arise in such a scenario. The study has been accomplished using a literature study as well as the development of a Proof-of-Concept model to simulate such a system and to make calculations and surveys of and within one. The survey has shown that the Azure Service Bus does match the pre-defined requirements and requisites, as well as demonstrated how safe communication can be guaranteed using this particular service bus. The study concludes with an analysis of the study as a whole and the results thereof in particular, as well as proposes measures for further research on the subject. Finally, recommendations are made on how the client should proceed based on what is found in the study.Målet med denna studie har varit att utröna huruvida Microsoft Azure Service Bus har kunnat matcha de behov och krav som Sogeti och dess klienter har på en sådan vid en övergång till ett distribuerat tjänsteorienterat system, samt undersöka vilka eventuella vinster som finns att göra vid en sådan övergång. Studien har också kritiskt granskat de problem och svårigheter som kan komma att uppstå. Undersökningen har gjorts med hjälp av en litteraturstudie samt en utveckling av en Proof-of-Concept-modell för att simulera ett sådant system och för att kunna göra beräkningar och undersökningar av och inom ett sådant. Undersökningen har visat att Azure Service Bus matchar de krav och önskemål som på förhand ställts, samt visat på hur säker kommunikation kan garanteras med hjälp av denna servicebuss. Undersökningen avslutas med en analys av studien som helhet och resultatet i synnerhet, samt föreslår åtgärder vid vidare forskning inom ämnet. Avslutningsvis lämnas rekommendationer på hur uppdragsgivaren ska gå tillväga baserat på vad som i studien framkommer.
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Jiang, Yiliang. "Quantitative comparison of SensibleThings and Microsoft Azure IoT Hub." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-28043.
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With the development of the Internet-of-Things, more and more IoT platforms come up with different structures and characteristics. Making balance of their advantages and disadvantages, we should choose the suitable platform in differ- ent scenarios. For this project, I make comparison of a cloud-based centralized platform, Microsoft Azure IoT hub and a fully distributed platform, Sensi- bleThings. Quantitative comparison is made for performance by 2 scenarios, messages sending speed adds up, devices lie in different location. General com- parison is made for security, utilization and the storage. Finally I draw the con- clusion that SensibleThings performs more stable when a lot of messages push- es to the platform. Microsoft Azure has better geographic expansion. For gener- al comparison, Microsoft Azure IoT hub has better security. The requirement of local device for Microsoft Azure IoT hub is lower than SensibleThings. The SensibleThings are open source and free while Microsoft Azure follow the con- cept “pay as you go” with many throttling limitations for different editions. Microsoft is more user-friendly.
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Macha, Tejeda Gary, and Quispe Juan Samuel Felix. "Plan de migracion del servicio cloud utilizando Microsoft Azure." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2018. http://hdl.handle.net/10757/624859.
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Este proyecto tiene como objetivo principal desarrollar una investigación sobre los servicios que ofrece la plataforma de Microsoft Azure, diseñando sus respectivas arquitecturas y realizando las pruebas de conceptos, para finalmente proponer continuidad a través de un proyecto de implementación en una de las Empresas Virtuales de la Escuela de Ingeniería de Sistemas y Computación (EISC).The development of this research project aims to conduct a research for the School of Engineering Systems and Computation (EISC) of the Universidad Peruana de Ciencias Aplicadas on the services offered by Microsoft Azure and which could be implemented in virtual companies.
Tesis
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Ding, Yuxia. "Internet of Things : Quantitative Evaluation on Microsoft Azure IoT Suite." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31006.
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The Internet of Things (IoT) is rapidly gaining ground in our daily life. There is a trend that the number of devices and data increases rapidly in the future. Meanwhile, IoT platforms are emerging to enable people conveniently deal with the IoT and these huge amount of data and devices. Therefore, the goal in this paper is to perform a quantitative evaluation on Microsoft Azure, one of the IoT platform, about its advantages and disadvantages under press to determine if Azure IoT is fit for future IoT. In order to reach this goal, Azure IoT Hub is used as a bridge to connect and manage lots of IoT devices which send and receive huge amount of data. .NET is used to simulate devices and connect them to the IoT Hub. The two-way communication from sensor to cloud and from cloud to actuator is implemented through MQTT protocol. This paper makes measurements on three metrics including response time from sensor sending messages to actuator receiving messages, scalability and cost and analyzes them in detail. Besides, the analysis is also made in a specific scenario which has high demand on sensor update to see how Azure IoT performs. Finally, conclusion is made on Microsoft Azure IoT's advantages and disadvantages under stress.
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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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Warnestad, Hannes, and Martin Aronsson. "Applikation för scanning av körkortsinformation : Informationen lagras med Microsoft Azure." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78124.
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Sedan den nya personuppgiftslagen, GDPR, trädde i kraft har större krav ställts på organisationer gällande hantering av personlig data. När processer inom en organisation ska digitaliseras, ställs högre krav på säkerheten av data. Ett bilföretag i Karlstad fick som krav från en av sina leverantörer att digitalisera sin provkörningsprocess, som tidigare var pappersbunden. Genom att automatisera processen och lagringen av data säkerställs det att detta hanteras korrekt. En lösning var att skapa en mobil applikation som skannar in körkort och sparar kunddata i en databas. Applikationen utvecklades för att uppfylla företagets krav samt de regelverk som GDPR innebär för digitala lösningar som hanterar känslig persondata. Applikationen skapades med hjälp av Xamarin i Visual Studio med fokus på Android applikationer. Data sparas i en molndatabas hos Microsoft Azure. I rapporten presenteras applikationens metoder och hur de samspelar för att ge den önskade funktionaliteten. I resultatet beskrivs också vilka krav som har uppfyllts.Since the new General Data Protection Regulation (GDPR) came into force, greater demands have been placed on organizations regarding the handling of personal data. When digitalizing processes within an organization, higher demands are placed on data security. A car company in Karlstad was required by one of its suppliers to digitalize their test driving process, which was previously paper bound. By automating the process and storing the data, it is ensured that this is handled correctly. One solution was to create a mobile application that scans driving licenses and saves customer data in a database. The application was developed to meet the company’s requirements as well as the regulations that GDPR imposes on digital solutions that handle sensitive personal data. The application was created using Xamarin in Visual Studio focusing on Android applications. Data is stored in a cloud database at Microsoft Azure. The report presents the application’s methods and how they interact to provide the desired functionality. The result also describes what requirements have been met
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Geng, Ningyao. "azureLang: Cyber Threat Modelling in Microsoft Azure cloud computing environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284501.
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When assessing network systems, security has always been one of the priorities.Cyber threat modelling is one of the most suitable methods. From a startingpoint to each valuable asset, the simulation can enable the users to explore certainsecurity weaknesses alongside the attack path. In the end, the time to compromiseshows the security level of the whole system.In principle, most cyber threat models can be built and simulated by attack graphswhere each point in the graph can stand for a certain asset in the network system.However, different systems have different infrastructures and implementations.As a result, it will be more suitable if engineers can develop a domain specificlanguage (DSL) which can be associated with a specific attack graph in order toimprove accuracy and efficiency.In this master thesis work, the final outcome is azureLang, a cyber threat modelinglanguage based on Meta Attack Language (MAL) for Microsoft Azure cloudcomputing environment. Compatible with securiCAD®, a CAD tool developedby Foreseeti AB, a threat model can be built and then be simulated.Vid bedömning av nätverkssystem har säkerhet alltid varit en av prioriteringarna.Bland tusentals metoder är cyberhotsmodellering en av de mest lämpliga. Frånen startpunkt till varje värdefull tillgång kan simuleringen göra det möjligt föranvändare att utforska vissa säkerhetssvagheter längs attackvägen. I slutändanvisar tiden för kompromiss säkerhetsnivån för hela systemet.I princip kan de flesta cyberhotsmodeller byggas och simuleras med attackgraferdär varje punkt i diagrammet kan stå för en viss tillgång i nätverkssystemet. Menolika system har olika infrastrukturer och implementationer. Som ett resultatkommer det att vara mer lämpligt om ingenjörer kan utveckla ett domänspecifiktspråk (DSL) som kan associeras med en specifik attackgrafik för att förbättranoggrannhet och effektivitet.I det här examensarbetet är slutresultatet azureLang, ett språk för modelleringav hothot baserat på Meta Attack Language (MAL) för Microsoft Azure cloudcomputing-miljö. Kompatibel med securiCAD ®, ett CAD-verktyg utvecklat avForeseeti AB, en hotmodell kan byggas och sedan simuleras.
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Veselý, Tomáš. "Vývoj a provoz PHP aplikací v prostředí Microsoft Azure Platform." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-124738.
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Windows Azure Platform is product of the Microsoft company aimed to host web applications. With this product, Microsoft is reacting on the new trend in IT -- cloud computing. This diploma thesis deals with all the aspects of developing and running PHP applications on Windows Azure Platform. Thesis is divided into two parts -- theoretical and practical. In the theoretical part, Windows Azure Platform is described in detail. The description consists of it's main parts, position in the world of cloud computing, price and main competitors. In the practical part, migration of school PHP application developed during 4IT445 course from LAMP platform to Windows Azure Platform is described. Except the migration itself, the benefits of new platform to application are described. In the thesis conclusion, development and running applications on both platforms is compared. The target of the thesis is to write first complete Czech text about running PHP applications on Windows Azure Platform and to help PHP developers to chose which way to go.
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Arvidsson, Moa. "Att använda Azure som IoT plattform." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42635.
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Portability of the Internet of Things Solutions is important in today’s society. This is due to the rapid growth of smart devices. More and more companies are choosing to use cloud services for data storage and processing. Halmstad Stadsnät AB is developing and communicating the IoT-platform and using the current state of Nokia IMPACT. The problem with IMPACT is that it does not fully support End-toend solutions. Therefore, Halmstad Stadsnät AB explores other possibilities for IoT-solutions when it comes to software. Microsoft AZURE is a platform that Halmstad Kommun uses for IT-solutions. The overall goal of this project is to test the portability of Microsoft AZURE’s IoT-solutions on IMPACTplatforms. The methods used have created an End-to-end solution for AZURE and then step by step test to transfer it to IMPACT. The project concludes that portability between these two platforms is good, but it requires certain adjustments when transferringPortabilitet av internet of things lösningar är i dagens samhälle nödvändig. Detta pågrund av den snabba tillväxten av bärbara datorenheter. Allt fler företag väljer att använda molntjänster för lagring och bearbetning av data. Halmstad Kommun håller på att utveckla en kommuntäckande IoT-plattform och använder sig i dagsläget av Nokia IMPACT. Problemet med IMPACT är att den inte har fullt stöd för End-to-end lösningar. Därför undersöker Stadsnätet andra möjligheter för IoT-lösning när det kommer till mjukvara. Microsoft AZURE är en plattform som Halmstad kommun använder för IT lösningar. De övergripande målet med det här projektet är att testa portabiliteten för Microsoft AZUREs IoTlösnignar på IMPACT-plattformen. De metoder som använts har varit att skapa en End-to-end lösning för AZURE och sedan steg för steg testa att överföra den till IMPACT. Slutsatsen av projektet är att portabilitet mellan dessa två plattformar är god, men dock krävs vissa åtgärder vid överföring.
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Самофалов, Л. Д. "Питання вивчення студентами-програмістами теорії розподілень обчислень в середовищі MICROSOFT AZURE." Thesis, ДРУКАРНЯ МАДРИД, 2017. http://openarchive.nure.ua/handle/document/9464.
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Söderqvist, Sandin Jim, and Jacob Sörnäs. "Utvärdering av verktyget Microsoft Azure DevOps möjligheter till en lönsammare utvecklingsprocess." Thesis, Linköpings universitet, Programvara och system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167204.
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Att använda sig utav automatiserade processer blir allt viktigare då företag alltid strävar efter att vara så effektiva som möjligt och för att kunna mäta sig med varandra. I den här rapporten har Microsoft verktyg Azure DevOps studerats och hur ett konsultföretag i Linköping kan dra nytta av automatiserade processer på bästa möjliga sätt. Målet var att ge företaget en bredare synvinkel på hur verktyget kan användas i framtida projekt för att maximera chanserna till en mer lönsam utvecklingsprocess än de har i dagsläget. För att mäta resultatet och framgångsfaktorn har olika kriterier kopplat till mjukvaruutveckling analyserats och jämförts med utvecklingsmetoder som kräver mer manuella handlingar. Resultatet visar på hur företaget praktiskt bör använda Azure DevOps och dess pipeline för att underlätta utvecklingen och lanseringen till olika miljöer.
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Добжанський, Володимир Олександрович. "Дослідження і розробка інтернет магазину побутової техніки «Мрія» з використанням хмарної технології Microsoft Azure." Master's thesis, Тернопільський національний технічний університет імені Івана Пулюя, 2017. http://elartu.tntu.edu.ua/handle/123456789/18913.
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Ay, Konstantin, and Joshua George. "Decentraliserad datalagring baserad på blockkedjan : En studie som jämför Storj.io och Microsoft Azure Blob Storage." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Datateknik och informatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-41536.
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The majority of cloud storage platforms rely on a centralized structure, with the most popular being Microsoft Azure. Centralization causes consumers to rely on the provider to maintain accessibility and security of data. However, platforms such as Storj.io are based on a decentralized structure. To become decentralized, Storj.io uses blockchain technology in a means to create an automated consensus mechanism between the entities storing the data. There is however little research regarding performance and security issues on a decentralized platform based on blockchain technology. The purpose of this study is to identify the beneficial and non-beneficial aspects of using blockchain-based decentralized cloud storage as a substitute for centralized ones. The study focuses on performance and security. A comparative case study has been executed, consisting of an experiment and literature study. Quantitative data from an experiment was used in a hypothesis test to determine whether there were any performance differences between Microsoft Azure Blob Storage and Storj.io. A literature study generating qualitative data was then made to identify differences in security measures and from that also discuss potential security risks on a service like Storj.io. This study found that the performance of Storj.io was lower than Microsoft Azure’s Blob Storage. Causes of these results were identified to be due to the many more steps during resource allocation in Storj.io, compared to Blob Storage. Security risks identified in Storj.io through the literature study were generally connected to the consensus mechanism. However, research shows that it is very unlikely for the consensus mechanism to be compromised. Because Microsoft Azure’s service does not use a blockchain, these risks do not exist. For secure data transfer to Azure’s service, consumers have to implement encryption manually client-side. Therefore, this study could not conclude whether Storj.io is a safe alternative because a consumer using the Microsoft Azure service is responsible for implementing security measures. Conclusions drawn from this study are intended to act as new knowledge in the field of blockchain-based decentralized cloud storage. It is an outset to decide whether to use centralized cloud storage or blockchain-based decentralized cloud storage from a performance and security perspective.Majoriteten av datalagringsmolntjänsterna är centraliserade, varav Microsoft Azure står som den mest använda molntjänsten. Centralisering innebär att konsumenten behöver lita på att värdföretaget hanterar tillgänglighet och säkerheten av data på bästa möjliga sätt. I kontrast mot en centraliserad molnplattform finns Storj.io som är en decentraliserad molnlagringstjänst. För att åstadkomma decentralisering använder sig Storj.io av blockkedjan som används för att uppnå den autonoma konsensusmekanismen mellan noderna som lagrar data. Syftet med denna studie är att identifiera för- respektive nackdelarna med en decentraliserad blockkedjebaserad molnplattform i jämförelse mot en centraliserad molnplattform. Specifikt fokuserar studien på prestanda och säkerhet. En komparativ fallstudie har utförts med ett experiment och en litteraturstudie som datainsamlingsmetoder. Den kvantitativa datan från experimentet användes i en hypotesprövning för att identifiera om det fanns någon skillnad i prestanda mellan Microsoft Azure och Storj.io. Litteraturstudien användes i syfte för att kunna styrka skillnader om säkerhetsåtgärder och säkerhetsrisker mellan molnplattformarna. Resultatet av denna studie visar att prestandan för Storj.io är lägre än Microsoft Azures molnplattform. De identifierade faktorerna som orsakade resultatet anses vara på grund av de flertal steg som krävs vid resursallokering för Storj.io. De säkerhetsrisker som uppstår hos Storj.io kom till i samband med konsensusmekanismen. För att en säkerhetsrisk skall uppstå mot konsensusmekanismen behöver det decentraliserade nätverket hotas med majoritet. Eftersom Microsoft Azure inte använder sig av blockkedjan uppstår inte dessa typer av säkerhetsrisker. För dataöverföring till Azures datalagringstjänst behöver konsumenten själv säkerställa en krypterad kommunikationskanal. I Storj.ios fall sköts alla typer av säkerhetsåtgärder automatiskt vilket eliminerar risken för säkerhetsattacker vid överföringar. Sammanfattningsvis tyder denna studie på att Storj.io inte är ett optimalt val vid prioritering av prestanda. Eftersom konsumenten som använder Microsoft Azures tjänst ansvarar för säkerhetsåtgärder drogs ingen direkt slutsats huruvida Storj.io är ett säkert substitut. Studien visar på att det existerar konensusrisker med en tjänst som Storj.io och det är upp till envar konsument att förlita sig på att dessa inte uppstår. De slutsatser som har dragits från denna studie är avsedda som ny kunskap inom fältet som berör decentraliserade molnplattformar baserade på blockkedjan. Studien kan användas som en utgångspunkt för val mellan en centraliserad och decentraliserad molntjänst baserad på blockkedjan med prioritet för prestanda och säkerhet.
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Hawasli, Ahmad. "azureLang: a probabilistic modeling and simulation language for cyber attacks in Microsoft Azure cloud infrastructure." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240406.
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Cyber-attack simulation is a suitable method used for assessing the security ofnetwork systems. An attack simulation advances step-wise from a certain systementry-point to explore the attack paths that lead to dierent weaknesses inthe model. Each step is analyzed, and the time to compromise is calculated.Attack simulations are primarily based on attack graphs. The graphs areemployed to model attack steps where nodes can represent assets in the system,and edges can represent the attack steps. To reduce the computational cost associatedwith building an attack graph for each specic system, domain-specicattack languages, or DSL for short, are used.The nal product of this thesis work is azureLang, a probabilistic modelingand simulation language for modeling Microsoft Azure cloud infrastructure.AzureLang is a DSL which denes a generic attack logic for MicrosoftAzure systems. Using azureLang, system administrators can easily instantiatespecic-system scenarios which emulate their Microsoft Azure cloud system infrastructure.After creating the model, attack simulation can be run to assessthe security of the model.Cyberattacksimulering är en lämplig metod som används för att bedöma säkerhetenhos nätverkssystem. En angrepsimulering går stegvis från ett visst systeminmatningspunkt för att utforska angreppsbanorna som leder till olika svagheter i modellen. Varje steg analyseras och tiden för kompromettera beräknas.Attack-simuleringar baseras huvudsakligen på attackgrafer. Graferna används för att modellera angreppssteg där noder kan representera tillgångar i systemet, och kanterna kan representera attackenstegen. För att minska kostnaden för att skapa attackgrafer för varje specifikt system används domänspecifika språk eller DSL förkortat.Den slutliga produkten av detta examensarbete är azureLang, ett probabilistisk hotmodelleringsoch attacksimuleringsspråk för analys av Microsoft Azure Cloud Infrastructure. AzureLang är en DSL som definierar en generisk attacklogik för Microsoft Azure-system. Med hjälp av azureLang kan systemadministratörer enkelt ordna specifika systemscenarier som efterliknar deras Microsoft Azure cloudsystem infrastruktur. Efter att ha skapat modellen kan attack simu-lering köras för att bedöma modellens säkerhet.
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Järvelä, Andreas, and Sebastian Lindmark. "Evaluation and comparison of a RabbitMQ broker solution on Amazon Web Services and Microsoft Azure." Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158242.
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In this thesis, a scalable, highly available and reactive RabbitMQ cluster is implemented on Amazon Web Services (AWS) and Microsoft Azure. An alternative solution was created on AWS using the CloudFormation service. These solutions are performance tested using the RabbitMQ PerfTest tool by simulating high loads with varied parameters. The test results are used to analyze the throughput and price-performance ratio for a chosen set of instances on the respective cloud platforms. How performance changes between instance family types and cloud platforms is tested and discussed. Additional conclusions are presented regarding the general performance differences in infrastructure between AWS and Microsoft Azure.
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Sehgal, Rakesh. "Service-Oriented Architecture based Cloud Computing Framework For Renewable Energy Forecasting." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25867.
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Forecasting has its application in various domains as the decision-makers are provided with a more predictable and reliable estimate of events that are yet to occur. Typically, a user would invest in licensed software or subscribe to a monthly or yearly plan in order to make such forecasts. The framework presented here differs from conventional software in forecasting, as it allows any interested party to use the proposed services on a pay-per-use basis so that they can avoid investing heavily in the required infrastructure.
The Framework-as-a-Service (FaaS) presented here uses Windows Communication Foundation (WCF) to implement Service-Oriented Architecture (SOA). For forecasting, collection of data, its analysis and forecasting responsibilities lies with users, who have to put together other tools or software in order to produce a forecast. FaaS offers each of these responsibilities as a service, namely, External Data Collection Framework (EDCF), Internal Data Retrieval Framework (IDRF) and Forecast Generation Framework (FGF). FaaS Controller, being a composite service based on the above three, is responsible for coordinating activities between them.
These services are accessible through Economic Endpoint (EE) or Technical Endpoint (TE) that can be used by a remote client in order to obtain cost or perform a forecast, respectively. The use of Cloud Computing makes these services available over the network to be used as software to forecast energy for solar or wind resources. These services can also be used as a platform to create new services by merging existing functionality with new service features for forecasting. Eventually, this can lead to faster development of newer services where a user can choose which services to use and pay for, presenting the use of FaaS as Platform-as-a-Service (PaaS) in forecasting.Master of Science
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Carlsson, Daniel. "Dynamics AX in the Cloud : Possibilities and Shortcomings." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-196060.
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The usage of the cloud is rapidly increasing and is something that is of large interest to everyone involved in technology. The purpose of this thesis is to examine the benefits and possible shortcomings of using Microsoft Dynamics AX in the cloud, specifically Microsoft Azure, instead of using local datacenters. This thesis project has been done at Scania IT using their implementation of Dynamics AX. This thesis project consists of an extensive literature study regarding both ERP Systems as well as other systems in regards to the cloud. It was decided early on to focus on the new version of Dynamics AX, which currently is only available in the cloud and compare this implementation to the two versions that the majority are using today, AX 2009 and AX 2012. The benefits of AX and Azure both being Microsoft products are clear with the welldesigned integrations and support all the way through the clients to the servers regarding backups and load balancing. It is shown how the developers have to work differently in regards to integrations with outside systems, especially in regards to AX 2009 with the frameworks having changed. The addition of Data Entities mean that the developers can save a lot of time by only needing a reference to the location of the object in the database instead of having to keep track of all the tables themselves. The analysis focuses on the differences in four different areas, performance & accessibility, scalability, cost savings as well as security & privacy. The background knowledge that is being used for the analysis primarily comes from the literature study as well as knowledge gained by studying the implementation at Scania today. The result shows that there are clear advantages regarding performance, cost savings and especially accessibility, however it is also clear that laws in a lot of countries still have not caught up with the fact that it is possible to use the cloud for data storage these days. Which in turn means that the best move in the near future for the majority of ERP users would be either a hybrid or private cloud within the borders of the same country.Användningen av molnet är snabbt expanderande och är något som är relevant för alla inblandade inom teknologin. Meningen med det här projektet är att undersöka fördelarna och de möjliga problem som kan uppstå genom användning av Microsoft Dynamics AX I molnet, specifikt Microsoft Azure, istället för lokala datacenter. Det här projektet har utförts hos Scania IT med hjälp av deras nuvarande implementation av Dynamics AX. Arbetet innehåller en omfattande litteraturstudie angående både ERP system och andra system från varierande områden med fokus på molnet. Det beslutades tidigt att fokusera på den nya versionen av Dynamics AX, som för tillfället bara är tillgänglig I molnet, och jämföra denna implementationen med de två versionen som huvudsakligen används idag, AX 2009 och AX 2012. Fördelarna med både AX och Azure som Microsoft produkter är tydliga med välintegrerade hjälpmedel hela vägen från klienterna till servrarna med ett särskilt fokus på säkerhetskopiering och lastbalansering. Det visas hur utvecklare behöver ändra sitt arbetssätt i avseende på integrationer med andra system, särskilt för AX 2009 då ramverken har ändrats. Tillägget av Data Entities betyder att utvecklare kan spara mycket tid på att bara behöva ha koll på en referens till platsen för ett objekt istället för att behöva veta exakt i vilken tabell i databasen objektet befinner sig. Analysen fokuserar på skillnaderna inom fyra olika områden, prestanda & tillgänglighet, skalbarhet, kostnadsbesparingar samt säkerhet & integritet. Kunskapen för analysen kommer framförallt ifrån litteraturstudien samt den kunskap som har intagits från implementationen samt medarbetarna vid Scania idag. Resultatet visar att det finns tydliga fördelar när det kommer till prestanda, kostnadsbesparingar och framför allt, tillgänglighet. Dock är det även tydligt att lagar i många länder ännu inte har hunnit ikapp det faktum att molnet är en av de bättre möjligheterna att spara data i idag. Detta betyder i sin tur betyder att det bästa nästa steget för majoriteten av ERP användarna idag är ett hybrid- eller privatmoln inom landsgränserna.
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Blommendahl, Simon. "An analysis of API usability and Azure API management." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131750.
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In today’s computer environments the systems are getting bigger and more complex for each day that passes by. The motivating factor for this is that the customer wants to achieve more and more with their computer systems than before. The only way to really solve this task is to use even more APIs (Application program interfaces) in their systems. When using more APIs in a system, there is a chance that the specific system provides the same type of API twice, which of course, is a waste of storage and resources. In addition, the more APIs a system contains, the bigger the risk is for mismanagement of these APIs. In the worst case, this can result in security breaches or data leaks. This thesis investigates specific APIs provided for a customer of Sigma IT Consulting. The aim is to evaluate and organize the APIs according to their usability criteria. The main focus of the evaluation is the available documentation which will be evaluated by a questionnaire survey distributed to senior software developers at Sigma IT Consulting in Växjö. Conclusions will then be drawn depending on the result from the survey, and we can then see if Azure API management (which is a service to make a system more user – friendly) is accurate in its way of organizing with the API usability as the main focus! Unfortunately, Azure API management did not have any possibility what so ever to customize the API placement in a system, and the only way the APIs are organized is in alphabetical order. Therefore, a prototype with even more sorting functionality than Azure API management will also be presented in this thesis.
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Revilla, Jorge Luis. "Thinknovation 2019: Casos de aplicación de Inteligencia Artificial." Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/653844.
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Presenta las herramientas de Microsoft Azure aplicadas a entornos como prevención de riesgos y fraudes, reconocimiento facial y de lenguaje, análisis de mercados financieros o de cadenas genéticas, etc.
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Trifanov, Filip. "Vytvoření monitorovacího řešení pro službu PowerBI." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444623.
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This master’s thesis deals with design of the monitoring solution for the Power BI service. The thesis is divided into theoretical, analytical and design sections. In the theoretical part describes the theoretical fundamentals, used technologies and analytical tools. The analytical part analyzes the company Intelligent Technologies, competitive solutions and data sources for the design part. The design part proposes its own solution for monitoring the Power BI service, including the costs and benefits of the proposed solution.
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Nigro, Michele. "Progettazione di un cluster sul cloud con il framework HPC." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20316/.
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Nell'ambito del calcolo distribuito, Microsoft HPC Pack offre un importante strumento per la gestione delle risorse computazionali in maniera efficiente orchestrando lo scheduling delle unità di lavoro all’interno dell’infrastruttura. HPC supporta nativamente l’integrazione sul cloud di Microsoft Azure tramite strategie di networking e virtualizzazione ben definite. Dopo una breve presentazione di Prometeia, presso cui il progetto ha avuto luogo, sono presentate nel dettaglio le tecnologie Microsoft utilizzate nel percorso. Segue una presentazione del progetto, che si compone di due passi: il primo consiste nella realizzazione dell’infrastruttura applicativa e HPC sul cloud Azure tramite template automatizzato (realizzazione di macchine virtuali, rete virtuale, installazione dei servizi e di HPC); il secondo passo è la realizzazione di un’applicazione che consenta, in base alle esigenze dell’utente, di creare ed eliminare risorse di calcolo dall’infrastruttura tramite comandi appositamente implementati. Questa soluzione apporta vantaggi di tempo ed economici sia rispetto agli scenari on-premise, in quanto non è più richiesto l’acquisto, la manutenzione e l’aggiornamento di server fisici, sia rispetto a soluzioni cloud più statiche, in cui la presenza di risorse di calcolo inattive per lunghi periodi di tempo producono costi molto più elevati. La parte finale dell’elaborato si concentra sull’analisi dei vantaggi economici che la soluzione presentata apporta, mostrando nel dettaglio le differenze tra i costi delle varie soluzioni offerte da Azure.
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Bota, Nuno Miguel Gaspar da Rosa Guerreiro. "O comportamento de compra industrial em PME’s : estudos de caso cloud Microsoft em Portugal." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/15487.
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Mestrado em MarketingO comportamento de compra industrial é influenciado pelos constrangimentos normais do mercado, da indústria em que se insere, das características da organização e dos elementos que a compõem. Com esta multiplicidade de fatores torna-se difícil retirar ilações que permitam difundir-se de forma holística a todas as empresas. A característica mais comum é um aumento da importância do sector de IT, sobretudo no que respeita a software e se há uma empresa especialista em fornecer ferramentas de produtividade é a Microsoft Embora a aposta seja forte e aclamada como o futuro viável ao crescimento das PME's, existem poucos estudos expressivos sobretudo no que concerne o mercado português. É determinante interligar o mercado nacional ao comportamento de compra industrial e o seu fluxo de informação dos processos de aquisição para descobrir o que despoleta o interesse a integrar ferramentas de futuro como a solução Cloud da Microsoft: Azure.
Industrial buying behavior is influenced by the normal constraints of the market, the industry in which it operates, the characteristics of the organization and the elements that make it up. With this multiplicity of factors it becomes difficult to draw conclusions that cover all the companies. The most common feature is an increase in the importance of the IT sector, especially as regards to software, and if there is a company that specializes in providing productivity tools, it is Microsoft. Although the bet is strong and acclaimed as the viable future to the growth of SMBs, there are few expressive studies, especially concerning the Portuguese market. It is crucial to link the national market to the industrial buying behavior and its flow of information from the acquisition processes to find out what prompts interest to integrate future tools such as Microsoft's Cloud Solution: Azure.
info:eu-repo/semantics/publishedVersion
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Хижняк, Олександр Сергійович. "Система аналізу даних приватної метеорологічної станції." Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/40931.
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Пояснювальна записка дипломного проєкту містить 6 розділів, 61 сторінка, 35 рисунків, 7 таблиць, посилання на 18 літературних джерела, додатки та 4 кресленики.
Об’єктом розробки: система аналізу даних для приватна метеостанція.
Мета розробки: створити застосунок зі зручним інтерфейсом, який буде аналізувати погодні показники минулих днів та годин.
У дипломному проєкті розроблено систему, яка в режимі реального часу збирає дані погодних показників, аналізує їх та виводить користувачу у вигляді тексту або у вигляді графіків за останні дні або 12 годин. Проведено ретельний огляд існуючих рішень і на основі цього виконано аналіз вимог, які б задовольняли всім потребам як звичайного користувача, так і садівника-любителя або ж працівника на господарстві. За апаратну частину було обрано мікроконтролер ESP8266 та датчики DHT22 і BMP280 для вимірювання температури, вологості повітря, атмосферного тиску та теплового індексу. Значну увагу було приділено серверній частині, яка розгортається в хмарному ресурсі Microsoft Azure.
Отримані результати можуть бути розширені масштабованістю апаратної частини та подальшою розробкою функціональної системи. Будуть корисними як звичайній, так і зацікавленій в господарстві людині.The explanatory note of the diploma project consists of 6 sections, 61 pages, 35 figures, 7 tables, links to 18 literary sources, annexes and 4 design documents. The object of the development: the data analysis system for private weather station. The purpose of the development: create an application with user friendly interface for analyzing weather data of the last days and hours. The graduation project developed the system, which collects weather data in real time, analyzes it and displays results like text or like charts for the last days or 12 hours. The thorough analysis of existing solutions and applications is a base of requirements that will satisfy all simple people, amateur gardener’s or enterprise worker’s needs. Microcontroller ESP8266 and sensors DHT22 and BMP280 were chosen like an embedded part of system for temperature, humidity, atmosphere pressure and heat index measurements. Considerable attention was paid to the server part, which is deployed in the cloud platform Microsoft Azure. The results obtained can be expanded by scalability of embedded part and functional system future development. It will useful as for simple people as for interested in the enterprise person.
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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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Cacchi, Matteo. "Elasticity in Cloud Computing: Tecnologia e applicazione aziendale presso Onit." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10237/.
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Il Cloud Computing permette di utilizzare al meglio le risorse distribuite allo scopo di risolvere problemi di computazione su larga scala, e viene distribuito dai provider all'utente finale sotto forma di servizio. Presentati i diversi modelli di distribuzione dei servizi Cloud, si discutono le varie tipologie di servizi offerti. Efficaci meccanismi di elasticità e scalabilità hanno permesso al Cloud Computing di superare lo scoglio iniziale di utilizzo medio dei server al 10%. L'elasticità (rapid elasticity) è l’abilità di acquisire e rilasciare le risorse di un'infrastruttura Cloud su richiesta, l’abilità di un'applicazione di cambiare le sue dimensione durante il suo tempo di esecuzione; la scalabilità è un prerequisito per ottenere una buona elasticità per il sistema, ed è l'abilità che ha un layer di sostenere carichi di lavoro variabili continuando ad adempiere agli obblighi imposti dallo SLA allocando o disallocando risorse computazionali. Le diverse modalità di scaling e il loro utilizzo determinano la scalabilità e di conseguenza l'elasticità del sistema, e sfruttano la virtualizzazione per poter funzionare. Ciò ha portato notevoli benefici perchè aumenta l'utilizzo dei server, migliora l'efficienza del sistema, e dona flessibilità in caso di errori massimizzando il tempo di funzionamento. Sono stati introdotti due esempi di sistemi elastici basati ovviamente sulla virtualizzazione come Amazon Web Services e Microsoft Azure, che dominano il mercato del Cloud Computing e fanno uso dei più efficenti meccanismi d'elasticità. Il cuore di questo elaborato è l'analisi dell'ampliamento dell'adozione del Cloud Computing in azienda Onit Group srl. L'obiettivo è trattare i punti fondamentali per il Cloud Computing, analizzarli e immagazzinare tutte queste conoscenze per analizzare lo stato attuale del Cloud nell'azienda focalizzando l'attenzione sui vantaggi e sugli svantaggi che un sostanziale ampliamento dell'adozione ai sistemi Cloud poteva apportare.
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Ragusa, Gabriele. "Analisi e realizzazione del processo di migrazione di un Data Warehouse." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
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Il progetto di tesi ha previsto la realizzazione del processo di migrazione di un Data Warehouse. Questo si è sviluppato in varie fasi ed ha previsto dei processi iniziali di ETL per l'estrazione, la trasformazione ed il caricamento dei dati, per poi proseguire con processi di modifica dei dati con l'uso di tool specifici e di realizzazione dei report richiesti dal Cliente. Il progetto ha previsto la realizzazione del processo di migrazione per due Data Entity differenti, dove per Data Entity si intende un set di report razionalizzati in base alla similarità delle query e dei filtri.
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Čurda, Vít. "Tvorba mapové aplikace pro sledování polohy v Cloudu - klientská část Windows Phone 7." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124721.
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This thesis deals with developing applications on Windows Phone 7. The application focuses on two main target groups; cyclists and individuals who are confined to wheelchairs. Application offers the possibility of navigating around the city and over difficult terrain, and is divided into two parts - the client side application, and server side application. Development of the server side application will be analyzed in the thesis Development of map application for tracking in cloud - Server side on Windows Azure, by Vojtech Ruzicka. The primary objective of this thesis is to offer new solutions for development on Windows Phone 7, with attention being given to the communication between client and server. The second objective is to provide the public with the free application, which will help cyclists and handicapped individuals to navigate through cities around the world. The primary goal of this thesis will be achieved by identifying any problems that may arise during development, whereby a simplified description of the problem will be formed and a solution provided. Realization of the second goal will be in the use of application by the public, by providing them with an efficient means of increasing their mobility throughout their surroundings.
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Hijazi, Issa, and Pontus Pettersson. "Animal ID Tag Recognition with Convolutional and Recurrent Neural Network : Identifying digits from a number sequence with RCNN." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17031.
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Major advances in machine learning have made image recognition applications, with Artificial Neural Network, blossom over the recent years. The aim of this thesis was to find a solution to recognize digits from a number sequence on an ID tag, used to identify farm animals, with the help of image recognition. A Recurrent Convolutional Neural Network solution called PPNet was proposed and tested on a data set called Animal Identification Tags. A transfer learning method was also used to test if it could help PPNet generalize and better recognize digits. PPNet was then compared against Microsoft Azures own image recognition API, to determine how PPNet compares to a general solution. PPNet, while not performing as good, still managed to achieve competitive results to the Azure API.
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Orazi, Federico. "Analisi e sviluppo del processo di migrazione del data warehouse di un'azienda automobilistica." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24963/.
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L'azienda IConsulting lavora da anni su tematiche legate all’ambito della Business Intelligence e ha col tempo collezionato un insieme molto numeroso di clienti per i quali realizza progetti di varia natura. La tesi tratta la mia esperienza di tirocinio in IConsulting durante la quale ho lavorato ad un progetto commissionato da un’azienda molto nota nel settore automobilistico. Questa azienda, che per motivi di privacy viene riferita come Cliente, necessita di valutare e adottare la miglior strategia evolutiva per il sistema di Business Intelligence attualmente in uso, al fine di supportare i propri obiettivi strategici di business. È richiesta l'analisi della situazione attuale (AS-IS) insieme alla valutazione e l'adozione del miglior processo di evoluzione che produca una nuova architettura (TO-BE) che soddisfi le nuove esigenze. Viene quindi progettato e sviluppato un processo di migrazione dal vecchio sistema a quello nuovo che non si limita solamente a replicare quanto già esistente ma anche a migliorarlo, estendendone le capacità analitiche complessive.
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Patra, Benoît. "Apprentissage à "grande échelle" : contribution à l'étude d'algorithmes de clustering répartis asynchrones." Paris 6, 2012. http://www.theses.fr/2012PA066040.
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Les thèmes abordés dans ce manuscrit de thèse sont inspirés de problématiques de recherche rencontrées par la société Lokad, qui sont résumées dans le premier chapitre. Le Chapitre 2 est consacré à l'étude d'une méthode non paramétrique de prévision des quantiles d'une série temporelle. Nous démontrons, en particulier, que la technique proposée converge sous des hypothèses minimales. La suite des travaux porte sur des algorithmes de clustering répartis et asynchrones (DALVQ). Ainsi, le Chapitre 3 propose tout d'abord une description mathématique de ces modèles précédent, et se poursuit ensuite par leur étude théorique. Notamment, nous démontrons l'existence d'un consensus asymptotique et la convergence presque sûre de la procédure vers des points critiques de la distortion. Le chapitre suivant propose des réflexions ainsi que des expériences sur les schémas de parallélisation à mettre en place pour une réalisation effective des algorithmes de type DALVQ. Enfin, le cinquième et dernier chapitre présente une implémentation de ces méthodes sur la plate-forme de Cloud Computing Microsoft Windows Azure. Nous y étudions, entre autres thèmes, l'accélération de la convergence de l'algorithme par l'augmentation de ressources parallèles. Nous le comparons ensuite avec la méthode dite de Lloyd, elle aussi répartie et déployée sur Windows AzureThe subjects addressed in this thesis manuscript are inspired from research problems encountered by the company Lokad, which are summarized in the first chapter. Chapter 2 deals with a nonparametric method for forecasting the quantiles of a real-valued time series. In particular, we establish a consistency result for this technique under minimal assumptions. The remainder of the dissertation is devoted to the analysis of distributed asynchronous clustering algorithms (DALVQ). Chapter 3 first proposes a mathematical description of the models and then offers a theoretical analysis, where the existence of an asymptotical consensus and the almost sure convergence towards critical points of the distortion are proved. In the next chapter, we propose a thorough discussion as well as some experiments on parallelization schemes to be implemented for a practical deployment of DALVQ algorithms. Finally, Chapter 5 contains an effective implementation of DALVQ on the Cloud Computing platform Microsoft Windows Azure. We study, among other topics, the speed ups brought by the algorithm with more parallel computing ressources, and we compare this algorithm with the so-called Lloyd's method, which is also distributed and deployed on Windows Azure
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Jääskeläinen, Perttu. "Comparing Cloud Architectures in terms of Performance and Scalability." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254615.
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Cloud Computing is becoming increasingly popular, with large amounts of corporations revenue coming in from various cloud solutions offered to customers. When it comes to choosing a solution, multiple options exist for the same problem from many competitors. This report focuses on the ones offered by Microsoft in their Azure platform, and compares the architectures in terms of performance and scalability.In order to determine the most suitable architecture, three offered by Azure are considered: Cloud Services (CS), Service Fabric Mesh (SFM) and Virtual Machines (VM). By developing and deploying a REST Web API to each service and performing a load test, average response times in milliseconds are measured and compared. To determine scalability, the point at which each service starts timing out requests is identified. The services are tested both by scaling up, by increasing the power of a single instance of a machine, and by scaling out, if possible, by duplicating instances of machines running in parallel.The results show that VMs fall considerably behind both CS and SFM in both performance and scalability, for a regular use case. For low amounts of requests, all services perform about the same, but as soon as the requests increase, it is clear that both SFM and CS outperform VMs. In the end, CS comes ahead both in terms of scalability and performance.Further research may be done into other platforms which offer the same service solutions, such as Amazon Web Services (AWS) and Google Cloud, or other architectures within Azure.Molntjänster blir alltmer populära i dagens industri, där stora mängder av företagens omsättning består av tjänster erbjudna i form av molnlösningar. När det kommer till att välja en lösning finns många för samma problem, där det är upp till kunden att välja vilken som passar bäst. Denna rapport fokuserar på tjänster erbjudna av Microsofts Azure plattform, i en jämförelse av arkitekturer som belastningstestas för att mäta prestanda och skalbarhet.För att avgöra vilken arkitektur som är optimalast mäts tre olika tjänster erbjudna i Azure: Cloud Services (CS), Service Fabric Mesh (SFM) och Virtual Machines (VM). Detta görs genom att utveckla och deploya ett REST Web API som är simulerat med användare, där prestanda mäts genom att ta medelresponstiden i millisekunder per anrop. För att avgöra skalbarhet identifieras en punkt där tjänsten inte längre klarar av antalet inkommande anrop och börjar returnera felkoder. Maskinerna för varje tjänst testas både genom att skala upp, genom att förstärka en maskin, men även genom att skala ut, där det skapas flera instanser av samma maskin.Resultatet visar att Virtual Machines hamnar betydligt efter både CS och SFM i både prestanda och skalbarhet för ett vanligt användarfall. För låga mängder anrop ligger samtliga tjänster väldigt lika, men så fort anropen börjar öka så märks det tydligt att SFM och CS presterar bättre än Virtual Machines. I slutändan ligger CS i framkant, både i form av prestanda och skalbarhet.Vidare undersökning kan göras för de olika plattformarna erbjudna av konkurrenter, så som Amazon Web Services (AWS) och Google Cloud, samt andra arkitekturer från Azure.
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Valentini, Stefano. "Analisi e sviluppo di progetti informatici per il controllo gestionale di una catena di negozi." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
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Lundberg, Elina, and Erica Gavefalk. "Investigating the impact on subjective satisfaction and learnability when adopting cloud in an SME." Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157708.
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Cloud services and solutions have served as a shift in the computer industry and create new opportunities for users. Clouds have been described as easily usable and fluid in terms of expansion and contraction depending on the real-time needs. Although the cloud is promoted with several benefits, it is not always apparent for the users that this is the case. Understanding both the benefits and challenges that exist is substantial for a successful adoption to cloud. This master’s thesis is conducted in collaboration with Exsitec ABand aims to investigate how the adoption of the cloud service Microsoft Azure will affect the development process. Also, it aims to provide a best practice for potentially needed updated working procedures, in terms of satisfaction and learnability. The investigation was performed through interviews and the System Usability Scale, to assess how the end users experienced development in a cloud environment. The thesis revealed that the Azure portal has low overall usability, but that there also exists an inconsistency of that perception. Two major factors that contributed to the satisfaction and learnability was the lack of documentation and that the Azure portal was considered hard to master. The SUS score revealed that the mean value was below an acceptable level, and thus changes in the company’s working procedures need to be implemented. Internal documentation regarding how the company should use both cloud in general, as well as the portal in particular, are required in order to increase the learnability and subjective satisfaction.
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Englund, Carl. "Evaluation of cloud-based infrastructures for scalable applications." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139935.
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The usage of cloud computing in order to move away from local servers and infrastructure have grown enormously the last decade. The ability to quickly scale capacity of servers and their resources at once when needed is something that can both be a price saver for companies and help them deliver high end products that will function correctly at all times even under heavy load to their customers. To meet todays challenges, one of the strategic directions of Attentec, a software company located in Linköping, is to examine the world of cloud computing in order to deliver robust and scalable applications to their customers. This thesis investigates the usage of cloud services in order to deploy scalable applications which can adapt to usage peaks within minutes.
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Göthesson, Richard, and Gustav Hedman. "Autentiseringsprocesser i molnbaserade datortjänster." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20452.
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Tidigare forskning har påvisat brister i olika former av autentiseringsprocesser som leder till autentiseringsattacker. Målet med vår studie är att presentera ett antal riktlinjer som företag och privatpersoner kan följa för att minimera risken för autentiseringsattacker. Metoderna som användes för att komma fram till dessa riktlinjer var kvalitativa där en praktisk observationsstudie, en litteraturstudie samt en enkätundersökning låg till grund för vår insamlade data. Resultatet av studien pekar på att Google Cloud Platform, Amazon Web Services och Microsoft Azure alla har en stark autentiseringsprocess i jämförelse med kritik från tidigare forskning. Enkätundersökningen visade dessutom att olika former av alternativ autentisering, såsom Two Factor Authentication (2FA) och Multi Factor Authentication (MFA), rekommenderas för ett starkt försvar mot autentiseringsattacker.Uppsatsens resultat pekar även på att användarens egenansvar i autentiseringsprocessen är av stor vikt för att minimera risken för autentiseringsattacker. Säkra lösenord bör konstrueras och frekvent bytas ut. Även alternativ autentisering och begränsning av användarens tillgång till känslig information bör tillämpas.Previous research has shown deficiencies in various forms of authentication processes that lead to authentication attacks. The goal of our study is to present a number of guidelines that businesses and individuals can follow to minimize the risk of authentication attacks. The methods used to reach these guidelines were qualitative. They consisted of a practical observational study, a literature review and a survey, which formed the basis of our collected data. The results of the study indicate that Google Cloud Platform, Amazon Web Services and Microsoft Azure all have a strong authentication process in comparison with the criticism of previous research. The survey also showed that different forms of authentication methods, such as the Two Factor Authentication (2FA) and Multi Factor Authentication (MFA), are recommended for a strong defense against authentication attacks.The thesis’ results also points to the user’s own responsibility in the authentication process are essential to minimize the risk of authentication attacks. Secure passwords should be designed and frequently replaced. Alternative authentication and restricted access to sensitive information for the user should also be applied.
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Siddiqui, Muhammad Anas. "Cloud Computing : Evaluation, as a platform for Scania Architecture." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-18896.
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Cloud computing has been given a great deal of attention during recent years. Almost all the technology market leaders and leading hosting service providers (like IBM, Microsoft and Verizon) have entered into the Cloud market as Cloud Providers. Cloud computing promises to provide highly available, secure, low cost, agile and highly scalable solution to the consumers. Scania is a global company and one of the world’s leading heavy vehicle manufacturers with 35,000+ employees. All the large organizations such as Scania, aim to constantly update themselves with the latest technology in order to meet their business requirements but, these organizations must always be convinced that there is a strong reason(s) to implement new technology. This research provides the method and criteria in relation to initiating Cloud computing. A number of Scania’s specific business requirements that it is possible to map to the Cloud are addressed in this thesis. The methodology of research is split in two parts. Firstly, the identification of business cases at Scania and their requirements with the Cloud and Secondly, the evaluation and comparison of the functionalities and capabilities of different vendors. The accumulated data is then compared and suitable vendors, according to those business requirements are suggested. This thesis also shares the experience of moving on premise applications to the Cloud. These are Scania specific applications which are currently being hosted in-house. The research also addresses the possibilities of portability between the Cloud providers. Although there is no standardization in relation to Cloud computing, some initiatives such as OpenStack are available and its current position and some application and data migration tools are also discussed. The thesis concludes with a general discussion, recommendations in relation to adapting Cloud computing and selecting the Cloud provider. This recommendation applies to every organization including Scania.
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Ceccarelli, Viviana. "Data Logger: cognitive analysis." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
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This work is developed on the basis of data related to the driving experience of a motorcycle in its aspects. The drivers point of view is supported by the analysis of the data produced by the sensors and collected by a data logger.
The two aspects, human and technical, have been standardized from a technological point of view so that they can be analysed and related to each other. The need for cognitive algorithms has led to the use of Cloud PaaS and SaaS technologies: these have allowed the rapid realization of the project without technical constraints.
All of this is part of the specific requirements set up by Ducati's PQ department whose aim is to evaluate the response on the road of new models or technological improvements before the production in series.
The final solution for the proposed data collection was realized using different services of IBM Cloud: a web app was built using a virtual assistant based on cognitive technology that guides the user in the collection of information and verifies its consistency.
The application required backend services such as an Object Storage and a Database, to store multimedia content and data respectively. Concerning the front-end instead, the automation of the collection mode has led to the introduction of an acquisition process that was easier to use and always available in terms of reachability and flexibility.
The information related to the data collected by the logger did not need to be mediated by further technological components.
The technology used for the analytical part is Microsoft's Power BI. The integration with the two data sources is plug and play: the data are automatically updated.
Several types of analysis have been done and range from reconstruction and correlation of measurements on a route to text analysis of driver sensations.
In addition to this, a PCB has been developed to solve an issue related to the data logger itself.
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Zambrano, Jesus. "Mobile Cloud Computing: Offloading Mobile Processing to the Cloud." UNF Digital Commons, 2015. http://digitalcommons.unf.edu/etd/594.
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The current proliferation of mobile systems, such as smart phones, PDA and tablets, has led to their adoption as the primary computing platforms for many users. This trend suggests that designers will continue to aim towards the convergence of functionality on a single mobile device. However, this convergence penalizes the mobile system in computational resources such as processor speed, memory consumption, disk capacity, as well as in weight, size, ergonomics and the user’s most important component, battery life. Therefore, this current trend aims towards the efficient and effective use of its hardware and software components. Hence, energy consumption and response time are major concerns when executing complex algorithms on mobile devices because they require significant resources to solve intricate problems.
Current cloud computing environments for performing complex and data intensive computation remotely are likely to be an excellent solution for off-loading computation and data processing from mobile devices restricted by reduced resources. In cloud computing, virtualization enables a logical abstraction of physical components in a scalable manner that can overcome the physical constraint of resources. This optimizes IT infrastructure and makes cloud computing a worthy cost effective solution.
The intent of this thesis is to determine the types of applications that are better suited to be off-loaded to the cloud from mobile devices. To this end, this thesis quantitatively and
qualitatively compares the performance of executing two different kinds of workloads locally on two different mobile devices and remotely on two different cloud computing providers. The results of this thesis are expected to provide valuable insight to developers and architects of mobile applications by providing information on the applications that can be performed remotely in order to save energy and get better response times while remaining transparent to users.
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Li, Shang-Ru, and 李尚儒. "Remote gesture control using CNN neural network and Microsoft Azure." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/n5958w.
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碩士國立臺灣海洋大學
機械與機電工程學系
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In this thesis, Python is used as a platform to train the gesture recognition model with CNN neural network module VGG. Hand gestures captured by a webcam are then recognize in real time, and the results are uploaded to cloud server. An IoT hub is built on Microsoft Azure platform. The IoT hub receives the result and issues an instruction to cause another computer to perform the corresponding action, thereby achieving remote gesture control.
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Almeida, Mário Filipe Elias de. "Microsoft Exchange Online como solução de correio electrónico empresarial e profissional." Bachelor's thesis, 2014. http://hdl.handle.net/10884/906.
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Este trabalho visa o estudo da tecnologia Microsoft Exchange Online como solução de correio electrónico para as organizações e empresas, com o intuito de agregar informação de âmbito predominantemente técnico, sendo revisto o estado da arte em relação á computação em nuvem, com destaque para a mudança de paradigma que estamos a viver, as características essenciais, os tipos de serviço, os modelos de implementação, e segurança. Foi igualmente revista a visão da Microsoft sobre o sistema operativo da computação em nuvem, bem como a plataforma de serviços Microsoft Office 365, que inclui entre outros serviços o Exchange Online, Lync Online e Sharepoint Online. Será também dado a conhecer o estudo de caso realizado na Universidade Atlântica sobre a migração do serviço de correio electrónico para o Office 365 e identificado o estado da infra-estrutura de Exchange da UATLA antes e após a migração. Serão igualmente apresentadas várias propostas de possíveis melhorias que poderão ser realizadas na Universidade Atlântica em relação à oferta Microsoft na plataforma Office 365.
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Lennartsson, Rasmus, and Jonatan Edqvist. "Chat Bots & Voice Control : Applications and limitations of combining Microsoft’s Azure Bot Service and Cognitive Services’ Speech API." Thesis, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-72450.
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The field of Artificial Intelligence (AI) has seen much development in recent years. This is mostly because of new technologies and computers becoming faster. With actors like Microsoft releasing software to reduce the complexity of the development of AI, the barrier to entry is now lower than ever. Due to this lower barrier, one area that has gained much traction is chat bots, being able to act as first line support for companies. While the technology is evolving fast and updates to Microsoft’s tools are released at an impressive rate, it appears to be difficult for other areas like documentation and ease of use to keep up with this pace. This thesis will explore some tools from Microsoft used in AI development. Areas covered are the Cognitive Services with a focus on speech, the Microsoft Azure Bot Service, the QnA Maker and the bot framework’s web-based client. These tools will be evaluated in the context of a chat bot, taking into account their functionality and development. The result is a chat bot that uses a knowledge base for data storage & answer logic, and a web interface for chat functionalities using the bot framework web-client.
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Honek, Tomáš. "Zabezpečení podnikové sítě na úrovni ochrany dat." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-428892.
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This thesis deals with the design of the corporate network infrastructure to improve its security against potential threats and attacks from both internal and external part of the network and to prevent leak of the sensitive information, so that, to accomplished the requirements of the current GDPR legislation. The proposal includes simplifying identity and access management of the users to the corporate resources and unified, well-arranged management from the side of the network administrators using modern and advanced tools to alert in the real time on unexpected events and anomalies on the network. Solution is implemented in the Microsoft Azure service environment and its funcionality has been verified based on the relevant penetration tests.