Dissertations / Theses: 'Amazon Web Services'

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McElhiney, Patrick R. "Scalable Web Service Development with Amazon Web Services." Thesis, University of New Hampshire, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10931435.

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The objective of this thesis was to explore the topic of scalable web development, and it answered the question, “How do you scale a website to handle more traffic at peak times without wasting resources?” This is important research to any web company that has issues with rising costs as demand for their website increases. It would be wise for every online business to be prepared for more web traffic, before it occurs, without spending the budget of a multi-million user web company in low traffic periods. The last thing you want is an error as your customer base starts to arrive, giving them a bad experience for their first impressions, which would result in lost revenue.

Scalable software development architectures, including microservices, big data, and Kubernetes were studied, in addition to similar web service companies including Facebook, Twitter, and Match.com. A scalable architecture was designed for a social media web service, MeAndYou, using the big data configuration with a shared Aurora database, which was configured using an auto-scaling group attached to a load balancer in Amazon Web Services (AWS). It was tested using a custom threaded Selenium-based Python script that applied simulated user load to the servers. As the load was applied, AWS added more Elastic Compute Cloud (EC2) instances running a virtual disk image of the web server. After the load was removed, the instances were terminated automatically by AWS to save costs.

Countless steps were taken to make the web service bigger and more scalable than it originally was, before testing, including adding more fields to user profiles, adding more search types, and separating the layers of code into different Hypertext Preprocessor (PHP) files in the front-end. A version control system was configured on the servers using GitHub and rsync. The systems architecture designed suggests the Match Engine should use a stream processing message queue, which would allow the system to factor searches one at a time as they are created, with horizontal scaling capabilities, rather than grabbing the entire database and storing it in memory. The backend Match Engine was also tested for accuracy using Structured Query Language (SQL) injection, which determined how the match algorithm should be improved in the future.

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Чеботарьова, Д. В., and В. О. Безлуцький. "Використання технології Amazon WEB Services для обслуговування сервісів." Thesis, ФОП Петров В. В, 2020. https://openarchive.nure.ua/handle/document/16406.

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У збірнику подано тези доповідей восьмої міжнародної науково-технічної конференції “Проблеми інформатизації”. Розглянуті питання за такими напрямами: інформатизація навчального процесу; безпека функціонування, застосування та експлуатація телекомунікаційних систем та мереж; комп’ютерні методи і засоби інформаційних технологій та управління; методи швидкої та достовірної обробки даних в комп’ютерних системах та мережах; сучасні інформаційновимірювальні системи; цивільна безпека (інформаційна підтримка).

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Kuželka, Kryštof. "Datový sklad v prostředí Amazon Web Services." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201629.

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The primary objective of this work is to investigate the potential of utilizing Hadoop and Amazon Redshift in the Amazon Web Services ("AWS") cloud, in order to design and implement a data warehouse, the efficacy of which will be tested afterwards. Contributions of this work include: documenting the technologies in the AWS cloud in Czech, demonstration of the design and performance tests of the data warehouse and the ETL part. Another considerable benefit is the added value to the company for whom the project was designed, and which is currently using the output of the project.

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Werlinder, Marcus, and Emelie Tham. "Application of Amazon Web Services in software development." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231917.

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During these last recent years cloud computing and cloud services have started to gain traction, which has been most notable among companies. Amazon have proven to be one of the powerhouses on providing scalable and flexible cloud computing services. However, cloud computing is still a relatively new area. From an outsider’s point of view, the overwhelming information and available services might prove to be difficult to familiarize with. The aim of this thesis is to explore how Amazon Web Services can be applied during software development and observing how difficult it might be to use these services. Three test applications that utilized different Amazon Web Services were implemented to get an insight into how Amazon Web Services can be applied from a cloud computing beginner’s point of view. These applications were developed in an iterative manner, where a case study was performed on each application. At the start of each new iteration a literature study was conducted, where sources were reviewed to see if it provided essential information. In total, nine different Amazon Web Services were used to implement and test the three respective test applications. Results of the case study were interpreted and evaluated with regards to the learnability and appliance of Amazon Web Services. Issues that were identified during the development process showed that Amazon Web Services were not userfriendly for users that have little to no experience with cloud computing services. Further research on other Amazon Web Services, such as Elastic Cloud Computing, as well as other cloud computing platforms like Google or IBM, may provide a deeper and more accurate insight on the appliances of cloud computing.
Under dem senaste åren så har molntjänster blivit ett allt mer populärt område, speciellt inom företag. Ett av dem största utgivare inom molntjänst branschen är Amazon som erbjuder skalbara och flexibla molntjänster. Molntjänster är dock ett relativt nytt område, vilket innebär att någon som inte är insatt i ämnet kan finna all tillgänglig information överväldigande och svår att bekanta sig med. Målet med det här tesen är att utforska olika Amazon Web Service som kan användas inom mjukvaruutveckling och observera problem som kan uppstå med dessa tjänster. Tre testapplikationer som använde sig av Amazon Web Services var skapade för att få en fördjupad kunskap om hur dessa tjänster fungerar och vad för möjligheter de har. Dessa applikationer utvecklades iterativt och en fallstudie utfördes för varje applikation. I början av varje ny iteration genomfördes en litteraturstudie, där källorna var kritiskt granskade för att se ifall dem innehöll väsentlig information för tesen. Sammanlagt användes nio olika Amazon Web Services för att implementera och testa de tre olika testapplikationerna. Resultaten från fallstudien tolkades och utvärderades med avseende på Amazon Web Services lärbarhet och tillämpningsbarhet. Problem som samlades ihop under utvecklingsprocessen visade att Amazons Web Services inte var särskilt användarvänligt för utvecklare med liten eller ingen erfarenhet inom Amazon Web Services. Ytterligare forskning inom andra Amazon Web Services som Elastic Cloud Computing och forskning som undersöker andra molntjänst plattformar som Google Cloud, skulle kunna bidra med en djupare förståelse och mer exakt inblick kring tillämpning av molntjänster.

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Choudrey, Sajaval. "Video Recommendation through Machine Learning in Amazon Web Services." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303010.

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Machine learning is a field within Computer Science that is still growing. Finding innovative ways to utilise the potential of Machine learning is important for the future of many companies and service providers. Amazon Web Services (AWS) provides machine learning capabilities that don’t require expert knowledge or the implementation of advanced machine learning algorithms. This thesis looks at how one of AWS machine learning services, ”AWS Rekognition” can be used to visually analyse movie-trailers and make relevant movie-trailer recommendations based on the analysis. This is realised by an experiment were a prototype of a recommender system, based on ”AWS Rekognition”, is created. The recommendations of movie-trailers and evaluations of the recommender, are in this thesis both based on calculations of vector similarity using various formulas. The experiments conducted in the thesis showed that the quality of recommendations were varied due to limitations in the movie-trailer corpus and also due to the fact that categorizing movies solely based on visual data in many cases can be misleading.
Maskininlärning är ett område inom datalogi som fortfarande växer. Att hitta innovativa sätt att uttnytja maskininlärningens potential är viktigt för många företags och tjänsteleveratörers framtid. AmazonWeb Services (AWS) möjliggör maskininlärningsförmågor utan krav på expertis inom området, eller implementationer av avancerade maskininlärningsalgoritmer. Denna uppsats undersöker hur en av AWS maskininlärningstjänster ”AWSRekognition” kan användas för att visuellt analysera film-trailers och göra relevanta trailer rekommendationer baserat på den visuella analysen. Detta är realiserat av ett experiment där en prototyp av ett rekommendationssystem, baserat på ”AWS Rekognition”, utvecklats. Rekommendationerna och evalueringen av rekommendationssystemet är båda baserade på beräkningar av vektorlikheten med diverse formler. Experimenten som utfördes i denna uppsats visar att rekommendationernas kvalitet var varierande på grund av begränsningar i filmtrailerbiblioteket och även på grund av att kategoriseringen av filmer i många fall är väldigt missledande om endast visuell data används för analys.

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Singh, Virdi Amandeep. "AWSLang: Probabilistic Threat Modelling of the Amazon Web Services environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254329.

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Attack simulations provide a viable means to test the cyber security of a system. The simulations trace the steps taken by the attacker to compromise sensitive assets within the system. In addition to this, they can also estimate the time taken by the attacker for the same, measuring from the initial step up to the final. One common approach to implement such simulations is the use of attack graph, which trace the various dependencies of every step and their connection to one another in a formal way. To further facilitate attack simulations and to reduce the effort of creating new attack graphs for each system of a given type, domain-specific languages are employed. Another advantage of utilizing such a language is that they organize the common attack logics of the domain in a systematic way, allowing for both ease of use and reuse of models. MAL (the Meta Attack Language) has been proposed by Johnson et al. to serve as a framework to develop domain-specific languages [1]. My work is based upon the same. This thesis report presents AWSLang, which can be used to design IT system models in context to the AWS (Amazon Web Services) environment and analyse their weaknesses. The domain specifics of the language are inspired from and based on existing literature. A Systematic Literature Review (SLR) is performed to identify possible attacks against the elements in an AWS environment. These attacks are then used as groundwork to write test cases and validate the specification.
Attacksimuleringar är ett användbart sätt att testa cybersäkerheten i ett system. Simuleringarna spårar de steg som angriparen tog för att försvaga säkerheten av känsliga tillgångar inom systemet. Utöver detta kan de uppskatta hur länge attacken varade, mätt från första till sista steget. Ett gemensamt tillvägagångssätt för att implementera sådana simuleringar är användningen av attackgrafer, som spårar olika beroenden av varje steg och deras koppling till varandra på ett formellt sätt.För att ytterligare underlätta attacksimuleringar och minska ansträngningen att skapa nya attackgrafer för varje system av en given typ, används domänspecifika språk. En annan fördel med att använda ett sådant språk är att det organiserar domänens gemensamma attacklogiker på ett systematiskt sätt, vilket möjliggör både en enkel användning och återanvändning av modeller. MAL (Meta Attack Language) har föreslagits av Johnson et al. att fungera som ramverk för utvecklingen av domänspecifika språk [1]. Mitt arbete är baserat på detsamma.I denna uppsats presenteras AWSLang, som kan användas för att utforma IT-systemmodeller i kontexten av AWS-miljön (Amazon Web Services) och analysera deras svagheter. Språkets domänspecifikationer är inspirerade av och baserade på befintlig litteratur. En systematisk litteraturöversikt görs för att identifiera möjliga attacker mot elementen i en AWS-miljö. Dessa attacker används sedan som grund för att skriva testfall och validera specifikationen.

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Deiss, Alexander Druckenmüller Bettina Melle Antje. "SOA vs. REST basierend auf Google, eBay, Amazon, Yahoo!" [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-26187.

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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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Quadri, S. (Samsideen). "Cloud computing:migrating to the cloud, Amazon Web Services and Google Cloud Platform." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201703151365.

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Cloud computing provides great benefits and challenges for small, medium, and large organisations. Whether it is a financial, technology, or engineering sector any company may find a useful cloud component for the organisation’s needs. Though with its benefits come many challenges, experts believe that cloud computing advantages outweigh the disadvantages. With more research in the area of cloud computing, the challenges will be dealt with. Amazon and Google are the prominent cloud services providers with different components and services that are evolving. However, there are many other cloud vendors and this makes it difficult for potential cloud users to migrate or choose a suitable vendor from the numerous available ones. This thesis, using design science approach describes the implementation of cloud computing by different cloud providers, i.e., examines and demonstrates how Amazon and Google implemented and structured their cloud infrastructure. Also, it provides the criteria for accessing the suitability of a business or organisation for choosing a cloud provider. In addition, a web application hosted on both AWS and GCP platforms is developed in order to demonstrate the workability of the framework and guideline for selecting a cloud provider. The application is called KlaudCelet. KlaudCelet is a recommender system that is developed based on previous research on cloud deployment frameworks and proposed model (CPSM; Cloud Provider Selection Model). The recommendation by the system is reliable because it is based on research results. KlaudCelet recommends a deployment model, a cloud service provider, and a decision either to migrate or not. CPSM was not used in KlaudCelet but the model by Keung & Kwok and Misra & Mondal were used. The guideline developed was used to create a recommender framework. The need for solving this problem was shown by conducting a review of previous research and a small-scale survey among IT experts. The survey found that IT experts are optimistic about cloud computing adoption despite its challenges such as security, privacy and leaning curve. The decision to migrate to the cloud must take into consideration the organisation’s state and culture, cloud deployment model, and choosing a suitable cloud service provider.

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Vo, Sonny Tran-Hai. "Securely Consume Web Services Using PHP." ScholarWorks@UNO, 2008. http://scholarworks.uno.edu/td/902.

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The PHP: Hypertext Preprocessor language (PHP) has evolved to a sophisticated mainstream programming language for rapid development of significant Web applications at major sites including Facebook.com, Wikipedia.org and Yahoo.com. Leading software vendors such as Oracle and IBM are rushing in providing tools that bridge their products to PHP. However, we have observed a gap in facilitating PHP to utilize Web services efficiently. This thesis reports our efforts in design and implementation of PHP applications that consume Web services. In doing so, I have proposed a framework facilitating PHP programs to utilize Web services with high performance capability. In addition, a number of Web service standards including WS-Addressing and those in WS-Security are integrated into my PHP implementation. Examples of using various Amazon Web Services are provided with details.

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Werlinder, Marcus. "Comparing the scalability of MQTT and WebSocket communication protocols using Amazon Web Services." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280700.

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This study compares the scalability of two popular communication protocols within IoT, MQTT and WebSocket. The scalability comparison of the protocols is performed using a publish-subscribe pattern. EMQX is used to run the MQTT message broker, and Socket.IO is used for theWebSocket message broker. Five metrics are recorded; memory usage, network usage, CPU utilization, Round Trip Time (RTT) and message loss. The brokers are set in two different scenarios. The first scenario being many publishers and few subscribers, and the second scenario being many subscribers and few publishers. AWS EC2 is used to host the brokers, as well as the publishers and subscribers. The findings of this study indicate that WebSocket is best suited for memory usage and CPU utilization. MQTT is much better suited when it comes to network usage. MQTT and WebSocket has almost identical average RTT in the first scenario. However in the second scenario MQTT has an average RTT of 164 ms, compared to WebSocket that has an average RTT of 331 ms. Both communication protocols perform similar for message loss, whereWebSocket has zero dropped message, while MQTT has a drop rate of only 0.001%.
Denna studie jämförde skalbarheten mellan två populära kommunikationsprotokoll inom IoT, MQTT och WebSocket. För att jämföra skalbarheten av kommunikationsprotokollen användes en utgivare-prenumerant-metodik. För MQTT användes meddelandehanteraren EMQX, och för WebSocket användes Socket.IO. Fem mätvärden dokumenterades; minnesanvändning, nätverksanvändning, CPU-användning, tur och retur - tid och meddelandeförlust. Meddelandehanterarna sattes i två olika scenarier. Första scenariot bestod av många utgivare och få prenumeranter. Det andra scenariot bestod av många prenumeranter och få utgivare. AWS EC2 användes för att agera som värd för meddelandehanterarna, samt för utgivarna och prenumeranterna. Resultaten av denna studie indikerar att WebSocket är bäst lämpad för minnesanvändning och CPU-användning. MQTT är däremot bättre lämpad för nätverksanvändning. MQTT och WebSocket hade nästan identiska genomsnittliga tur och retur - tider i första scenariot, dock i andra scenariot hade MQTT en genomsnittlig tur och retur - tid på 164 ms medan WebSocket hade en genomsnittlig tur och retur - tid på 331 ms. Båda kommunikationsprotokollen hade snarlika resultat när det kom till meddelandeförlust, WebSocket hade noll tappade meddelanden och MQTT hade en meddelandeförlust på 0.001 %.

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Kokkonda, Vijay, and Krishna Sandeep Taduri. "Managing Data Location in Cloud Computing (Evaluating Data localization frameworks in Amazon Web Services)." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2685.

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Context: Cloud Computing is an emerging technology where present IT is trending towards it. Many enterprises and users are still uncomfortable to adopt Cloud Computing as it uncovers many potential and critical threats which remind the most concerned security issue to consider. As data is migrated between different data centers dispersed globally, security for data is a very important issue. In Cloud environment Cloud user should be aware of the physical location of the data to ensure whether their data reside within certain jurisdiction as there are different data privacy laws. Evaluating different data localization frameworks in Amazon Web Services by deploying web application in Amazon availability zones (US, Europe and Asia) is the main context of this study. Objectives: In this study we investigate which strategic data localization frameworks have been proposed, can be used to identify data location of web application resource deployed in Cloud and validate those considered three frameworks by conducting experiment in a controlled environment. Methods: Literature Review is performed by using search string in data bases like Compendex, IEEE, Inspec, ACM digital Library, Science Direct and Springer Link to identify the data location frameworks. Later these data location frameworks are evaluated by conducting a controlled Experiment. Experiment is performed by following the guidelines proposed by Wohlin, C [66]. Results: Three data localization frameworks out of ten, obtained from literature study are considered for the evaluation. The evaluation of these frameworks in Amazon Web Services resulted that replication of three data localization studies is possible, predicting the location of data in US, Europe and Asia close enough accurate and the factors considered from the frameworks are valid. Conclusions: We conclude that from the identified ten frameworks, three data location frameworks are considered for evaluation in which one framework allows verifying the location of data by trusting the information provided by cloud provider and second framework is to verify the location of cloud resources without need of trusting cloud provider, finally the third framework is to identify the replicated files in cloud however this framework also does not need trusting the Cloud provider. These frameworks address the data location problem but in a different way. Now the identified three frameworks are validated by performing a controlled experiment. The activities performed from the three frameworks in the experiment setup allow identifying the data location of web application deployed in US, Europe and Asia. The evaluation of these frameworks in Amazon Cloud environment allowed proposing a checklist that should be considered to manage the web application deployed in cloud regarding data location. This checklist is proposed based on the activities performed in the experiment. Moreover, authors conclude that there is a need for further validation, whether the proposed checklist is applicable for real Cloud user who deploys and manages Cloud resources.
Vijay Kokkonda +918121185670, Krishna Sandeep Taduri +917893970042

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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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Christensen, Bryce. "Building an internet of things (IoT) air quality sensing platform on Amazon web services (AWS)." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/207757/1/Bryce_Christensen_Thesis.pdf.

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This thesis explores the design and development of the cloud based IT infrastructure for an Internet of Things (IoT) network of low-cost air quality sensors. The platform is developed on Amazon Web Services (AWS) and includes the network infrastructure, data storage, post processing and various web visualisations supporting the research endeavour.

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Månsson, Per. "Database analysis and managing large data sets in a trading environment." Thesis, Linköpings universitet, Databas och informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-104193.

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Start-up companies today tend to find a need to scale up quickly and smoothly, to cover quickly increasing demands for the services they create. It is also always a necessity to save money and finding a cost-efficient solution which can meet the demands of the company. This report uses Amazon Web Services for infrastructure. It covers hosting databases on Elastic Computing Cloud, the Relational Database Serviceas well as Amazon DynamoDB for NoSQL storage are compared, benchmarked and evaluated.

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Yassin, Ahmed, and Fatih Yalcin. "Enterprise transition to Software-defined networking in a Wide Area Network : Best practices for a smooth transition to SD-WAN." Thesis, KTH, Hälsoinformatik och logistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253007.

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Software defined wide area networks (SD-WAN) is a relatively new concept for enterprises to structure their networks throughout sites. This thesis was to find best practices for enterprises wanting to transition their current infrastructure to SD-WAN with multiple factors considered. To accomplish this, results gathered from literature reviews, lab testing and interviews with employees from two different enterprises was made. What was accomplished from the literature review was an overview from Equity Office’s transition to SD-WAN which gave a positive result, as well as a cost of ownership tests with Talari SD-WAN units by NSS Labs. Lab testing with Talari SD-WAN units and a cloud site from Amazon Web Services resulted in improvements in performance and stability compared to a local traditional setup to the cloud site, especially on multiple simultaneous connections. Lastly, results from interviews provided deep insight on how the enterprises planned the transition, what results were expected as well as gained profits in forms of cost and effectivity. A definitive best practice which every enterprise should follow could not be made. Instead, best practices were found by factoring in different criteria that are unique for different enterprises. For future work, narrowing down to one methodology with more resources, could help in obtaining more realistic and accurate results.
Mjukvarudefinierade wide area networks (SD-WAN) är ett relativt nytt koncept för företag att strukturera sina nätverk genom sina kontor. Projektets mål var att hitta bästa praxis för företag som vill övergå från sin nuvarande infrastruktur till SD-WAN med hänsyn till flera faktorer. För att uppnå detta samlades resultat in från litteraturstudier, tester med laboration och intervjuer med anställda från två olika företag. Det som uppnåddes från litteraturstudien var en översikt över Equity Offices övergång till SD-WAN vilket gav ett positivt resultat, samt en överblick av tester på ägandekostnader med Talari SD-WAN enheter som utfördes av NSS Labs. Tester med Talari SD-WAN enheter och en molnuppsättning på Amazon Web Services resulterade i förbättringar i prestanda och stabilitet jämfört med en lokal traditionell uppsättning till molnet, särskilt vid parallella anslutningar. Slutligen gav resultaten från intervjuer en djup inblick i hur företagen planerade övergången, vilka resultat som förväntades samt vinster i form av kostnad och effektivitet. En slutgiltig bästa praxis som varje företag bör följa kunde inte bestämmas. Istället hittades bästa praxis genom att ta hänsyn till olika kriterier som är unika för olika företag. För framtida arbeten kan man smala ner arbetet till en typ av metodik med mer resurser, för att hjälpa till med att få mer realistiska och korrekta resultat.

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Midigudla, Dhananjay. "Performance Analysis of the Impact of Vertical Scaling on Application Containerized with Docker : Kubernetes on Amazon Web Services - EC2." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18189.

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Containers are being used widely as a base technology to pack applications and microservice architecture is gaining popularity to deploy large scale applications, with containers running different aspects of the application. Due to the presence of dynamic load on the service, a need to scale up or scale down compute resources to the containerized applications arises in order to maintain the performance of the application. Objectives To evaluate the impact of vertical scaling on the performance of a containerized application deployed with Docker container and Kubernetes that includes identification of the performance metrics that are mostly affected and hence characterize the eventual negative effect of vertical scaling. Method Literature study on kubernetes and docker containers followed by proposing a vertical scaling solution that can add or remove compute resources like cpu and memory to the containerized application. Results and Conclusions Latency and connect times were the analyzed performance metrics of the containerized application. From the obtained results, it was concluded that vertical scaling has no significant impact on the performance of a containerized application in terms of latency and connect times.

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Ybarhuen, Manrique Angel Francisco. "Influencia del enfoque de infraestructura como código en sistemas de información basados en la nube de Amazon Web Services." Bachelor's thesis, Universidad Continental, 2018. http://repositorio.continental.edu.pe/handle/continental/5024.

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El objetivo del presente trabajo de investigación es identificar la influencia del enfoque de infraestructura como código en los procesos de aprovisionamiento y administración de la infraestructura tecnológica para un sistema de información basado en la nube de Amazon Web Services. Para ello se ha definido la arquitectura de un sistema de gestión de contenidos el cual será implementado sobre la nube de Amazon Web Services por medio del enfoque de infraestructura como código. Así mismo, para las actividades de recolección de datos se procedió a elaborar una batería de pruebas de rendimiento que permitan comprobar las hipótesis y medir la relación entre las variables propuestas.

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Reva, Roman. "Design and Implementation of a Next Generation Web Application SaaS prototype." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35005.

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Fröhlich, Martin. "Využití cloud computingu na příkladu automatizace tvorby mapové grafiky, optimalizace nákladů s pomocí simulačních metod." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-77158.

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The thesis deals with the use of cloud computing to solve computationally intensive task. Simulation methods are employed to analyze the operation of the proposed system before putting it into operation. Cloud computing makes the functionality of modern data centers accessible to small businesses, cloud allows scaling up and scaling down of resource usage on an as-needed basis; moreover, without high initial investments and long-term commitments. The paper examines in detail the ways to adapt the currently most popular cloud environment of Amazon's Elastic Compute Cloud to the specific requirements of custom applications and suggests ways to automate the process of creation and customization of instance images. The automation and management of running applications in cloud environment is demonstrated on the example of geographic data processing and map generation application. The simulation model for running applications in the cloud is built and exploited to verify the ability of the proposed solutions to succeed in a production deployment.

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Yousif, Robert. "A Practical Approach of an Internet of Robotic Things Platform." Thesis, KTH, Mekatronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-244412.

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This thesis aims to design and develop a platform based on a novel concept - the Internet of Robotic Things (IoRT) constructed by a robotic platform, an Internet of Things (IoT) platform and cloud computing services. A robotic platform enables hardware abstraction, facilitating the management of input/output between software, mechanical devices andelectronic systems. The IoT platform is a global network enabling a massive number of devices known as things to communicate with each other and transfer data over the Internet. Cloud computing is a shared pool of scalable hardware usually provisioned as cloud services by third party cloud vendors. The integration of these concepts constitutes the core of the IoRT platform, as a global infrastructure facilitating robots to interconnect over the Internet utilizing common communication technology. Moreover, the pool of cloud resources shared by the connected robots enables scalable storage and processing power. The IoRT platform developed in this study constitutes firstly of the Amazon Web Service (AWS) IoT core serving as the IoT platform. Secondly, it incorporates the Robot Operating system (ROS) as the robotic platform and thirdly the cloud services Amazon DynamoDB and AWS Lambda for data storing and data processing respectively.The platform was evaluated in terms of delays & utilization and visualization capabilities. The platform demonstrates promising result in terms of delays exchanging small packages of data, round-trip delays in order of 50-60ms were obtained between a robot placed in Stockholm and the communication platform AWS IoT placed in Dublin, Ireland. Most of the delay is due to the traveling distance, where a round trip ping between Stockholm and Dublin takes around 50ms. The platforms ability to visualize streaming data from the robots, enables an operator to visualize selected data from any service in the platform over the Internet in near real-time, with round-trip delays in order of 250-300ms where the data propagates through multiple cloud service. In conclusion, this report illustrates the feasibility of merging two major platforms together: ROS and AWS IoT, and moreover, the accessibility to exploit the power and potential enabled by the modern data centers.
Avhandlingens syfte är att utforma och utveckla en plattform baserat på konceptet Internet of Robotic Things konstruerat av en robotikplattform, en Internet of Things plattform och molntjänster. En Internet of Things plattform är ett globalt nätverk som tillåter många enheter att kommunicera med varandra och överföra data över Internet. En robotikplattform underlättar kontrollen av in/ut mellan mjukvara, mekaniska enheter och elektroniska system. Molntjänster är en gemensam pool av skalbar hårdvara som vanligtvis erbjuds av tredje parts molnleverantörer. En Internet of Robotic Things plattform är en global infrastruktur som underlättar avancerade robotar att interagera över Internet genom en gemensam kommunikationsteknik, en pool av molntjänster som delas av alla uppkopplade robotar som tillåter skalbar lagring och processorkraft.Plattformens huvudkomponenter är robotikplattformen Robot Operating System, Internet of Things plattformen AWS IoT Core och molntjänsterna Amazon DynamoDB och AWS Lambda för lagring och databearbetning.Plattformen evalueras i form av plattformegenskaperna, fördröjningar & funktionstid och visualiseringsförmåga. Plattformen visar lovande resultat i from av fördröjningar mellan två robotar som utbyter data med hjälp av IoT plattformen, där fördröjningarna är begränsade av distanssträckan. Plattformens egenskap att visualisera strömmande data från robotar möjliggör för en operatör att visualisera utvald data från plattformen över internet i realtid.

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Zanotti, Andrea. "Supporto a query geografiche efficienti su dati spaziali in ambiente Apache Spark." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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La tesi illustra la progettazione e implementazione di un supporto basato su tecnologia Apache Spark per l'analisi di dati di posizionamento in ambito Big Data. Dopo aver analizzato tre estensioni specifiche per il trattamento di dati geografici si è deciso di utilizzare il framework GeoSpark. Al suo interno è stata inserita la tecnica di clustering basata su densità DBSCAN ottimizzata per il funzionamento in architettura distribuita. È presente anche un layer dedicato all'ottimizzazione automatica per la configurazione dei parametri relativi al partizionamento del database sul cluster. Sono stati eseguiti test di funzionamento e integrazione per verificare il corretto comportamento delle funzionalità offerte e dimostrare l'integrazione con quelle già presenti. Infine è stata realizzata una sessione di test dedicata all'analisi delle prestazioni attraverso il servizio di cloud computing Amazon Web Services in particolare Amazon EMR. In questo capitolo la nostra soluzione è stata paragonata ad una precedente basata su tecnologia MongoDB per confrontarne le performance. Come dimostrato dai risultati sperimentali, il nostro supporto risulta essere computazionalmente più veloce e ottimizzato.

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Bandini, Alessandro. "Programming and Deployment of Cloud-based Data Analysis Applications." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13803/.

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Cloud Computing constitutes a model capable of enabling the network access in a shared, practical and on demand of different computational resources like networks, memory, application or services. This work has as goal the explanation of the project made within Cloud Computing. After an introduction of the theory that lies behind Cloud computing's technologies, there is the practical part of the the work, starting from a more specific platform, Hadoop, which allows storage and data analysis and then moving to more general purpose platforms, Amazon Web Services and Google App Engine, where different types of services have been tried. The major part of the project is based on Google App Engine, where storage and computational services have been used to run MapReduce jobs. MapReduce is a different programming approach for solving data analysis problems, that is suited for big data. The first jobs are written in python, an imperative programming language. Later on, a functional approach on the same problems has been tried, with the Scala language and Spark platform, to compare the code. As Cloud computing is mainly used to host websites, a simple site was developed as integral part of the work. The development of the site is not explained as it goes beyond this thesis' main focus, only the relevant aspects will be treated.

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Haddad, Raja. "Apprentissage supervisé de données symboliques et l'adaptation aux données massives et distribuées." Thesis, Paris Sciences et Lettres (ComUE), 2016. http://www.theses.fr/2016PSLED028/document.

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Cette thèse a pour but l'enrichissement des méthodes supervisées d'analyse de données symboliques et l'extension de ce domaine aux données volumineuses, dites "Big Data". Nous proposons à cette fin une méthode supervisée nommée HistSyr. HistSyr convertit automatiquement les variables continues en histogrammes les plus discriminants pour les classes d'individus. Nous proposons également une nouvelle méthode d'arbres de décision symbolique, dite SyrTree. SyrTree accepte tous plusieurs types de variables explicatives et à expliquer pour construire l'arbre de décision symbolique. Enfin, nous étendons HistSyr aux Big Data, en définissant une méthode distribuée nommée CloudHistSyr. CloudHistSyr utilise Map/Reduce pour créer les histogrammes les plus discriminants pour des données trop volumineuses pour HistSyr. Nous avons testé CloudHistSyr sur Amazon Web Services (AWS). Nous démontrons la scalabilité et l’efficacité de notre méthode sur des données simulées et sur les données expérimentales. Nous concluons sur l’utilité de CloudHistSyr qui , grâce à ses résultats, permet l'étude de données massives en utilisant les méthodes d'analyse symboliques existantes
This Thesis proposes new supervised methods for Symbolic Data Analysis (SDA) and extends this domain to Big Data. We start by creating a supervised method called HistSyr that converts automatically continuous variables to the most discriminant histograms for classes of individuals. We also propose a new method of symbolic decision trees that we call SyrTree. SyrTree accepts many types of inputs and target variables and can use all symbolic variables describing the target to construct the decision tree. Finally, we extend HistSyr to Big Data, by creating a distributed method called CloudHistSyr. Using the Map/Reduce framework, CloudHistSyr creates of the most discriminant histograms for data too big for HistSyr. We tested CloudHistSyr on Amazon Web Services. We show the efficiency of our method on simulated data and on actual car traffic data in Nantes. We conclude on overall utility of CloudHistSyr which, through its results, allows the study of massive data using existing symbolic analysis methods

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Raichl, Petr. "Záznamník klimatických veličin." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413195.

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The thesis is aimed on construction of solar panel powered datalogger of environmental values. The thesis begins by research of commercial dataloggers. Then the concept of datalogger was created. Then the electronics of datalogger was designed. Datalogger is built as a system driven by microcontroller. The microcontroller reads data from sensors, writes data to memory card and sends data to Czech radiocommunications cloud by LoRa technology. Then the data are resend to MySQL database. Program for microcontroller was made in C language. Configuration of datalogger is done through USB interface by PC application which was created in C# language. For visualisation of measured data ASP.NET Core application was created.

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Piscaglia, Alex. "Mobile Cloud Computing: una panoramica e un caso di studio." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17989/.

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Il cloud computing è un trend tecnologico che, da diversi anni a questa parte, sta rivoluzionando il modo di pensare e agire nel mondo dell'informatica. Se, comunemente, si è soliti immaginare un software in modalità on-premise, ovverosia installato ed eseguito direttamente sulla macchina locale, con il cloud computing questa mentalità viene meno: le applicazioni non hanno più la necessità di trovarsi fisicamente sul computer dell'utente, poiché vengono messe a disposizione via Internet attraverso una piattaforma virtuale e, tipicamente, ospitata e gestita da un fornitore di terze parti, risultando accessibili da qualsiasi terminale dotato di una connessione alla rete. Come vedremo nel corso dell'elaborato, questa soluzione non si applica soltanto ai software, bensì anche alle infrastrutture e piattaforme hardware. Il termine "cloud", nuvola in inglese, è molto azzeccato, in quanto esprime bene il concetto che sta alla base del paradigma: così come una nuvola si trova in cielo ed è visibile da molteplici posizioni, allo stesso modo il cloud "si trova" in rete ed è accessibile da vari device. Lo scopo di questa tesi è quello approfondire lo studio su questa frontiera dell'informatica, fornendo una descrizione più dettagliata dei vari aspetti teorici e mettendoli successivamente in pratica attraverso l'implementazione di un caso di studio.

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Törngren, Sebastian. "Automatiserad uppsättning av distribuerade system i molnet för mjukvarutestning." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107340.

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Molntjänster av olika slag har blivit allt vanligare i samhället de senaste åren. Bland de mest använda molntjänsterna finns Dropbox, Microsoft Azure och Amazon Web Services (AWS). Den sistnämnda molntjänsten är något som företaget Infor har fått ögonen på. AWS erbjuder inte endast datalagring som Dropbox gör utan även dataexekvering, databaslösningar, nätverkslösningar, driftsättning och hantering av datorsystem. Den här rapporten kommer gå igenom hur AWS molntjänster har använts för att testa en av Infors produkter på ett distribuerat system i molnet istället för på egen hårdvara. De molnlösningar som kommer att undersökas i denna rapport är främst AWS OpsWorks och AWS CloudFormation tillsammans med programmet Chef.
Cloud computing services of various kinds have become increasingly common in society in recent years. Among the most widely used cloud computing services are Dropbox, Microsoft Azure and Amazon Web Services (AWS). The latter service is something that the company Infor have got their eyes on. AWS offers not only data storage like Dropbox does, but also data execution, database solutions, network solutions, deployment and management of computer systems. This report will go over how AWS have been used to test one of Infor's products on a distributed system in the cloud instead of on their own hardware. The cloud computing services that will be examined in this report are primarily AWS OpsWorks and AWS CloudFormation, together with the program Chef.

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Mattamadugu, Lakshmi Narashima Seshendra, and Ashfaq Abdullah Khan Pathan. "Supercomputing over Cloud using the Quicksort algorithm." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3651.

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Context: Cloud Computing has advanced in recent years. It is catching people’s attention as a commodious resource of computational power. Slowly, Cloud is bringing new possibilities for a scientific community to build High Performance Computing platforms. Despite the wide benefits the Cloud offers, the question on everyone’s mind is “Whether the Cloud is a feasible platform for HPC applications”. This thesis evaluates the performance of the Amazon Cloud using a sorting benchmark. Objectives: 1. To investigate all the previous work on HPC that has been ported to the Cloud environment in various fields. Also, the problems and challenges are assessed relevant to HPC associated with the Cloud. 2. A study is done on how to implement parallel Quicksort efficiently to obtain good Speedup. 3. A parallel Quicksort is developed and its performance is measured using ‘Speedup’ by deploying in the Cloud. Methods: Two different research methods were used to carry out the research. They are Systematic Literature Review (SLR) and a Quantitative methodology. Research papers from academic databases namely IEEE Xplore, Inspec, ACM Digital Library and Springerlink were chosen for conducting SLR. Results: From the systematic review undertaken, 12 HPC applications, 9 problems and 5 challenges in the Cloud were identified. Efficient way to implement the parallel Quicksort on the Cloud has been identified. From the experiment results, a low Speedup is obtained in a Cloud environment. Conclusions: Many HPC applications which were deployed in the Cloud so far were identified along with problems and challenges. Message Passing interface (MPI) is chosen as the efficient method to develop and implement the parallel Quicksort in the Cloud. From the experiment results, we believe that the Cloud is not a suitable platform for HPC applications.

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Sapkota, Sagar, and Khawar Shehzad. "Cloud Computing for Telecom Systems." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3068.

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Context: Cloud computing is reshaping the service-delivery and business-models in Information and Communications Technology (ICT). The Information Technology (IT) sector has benefited from it in the previous 3-5 years. Despite the attraction of cloud computing, it is required to have an effective application migration strategy. Cloud computing with its diverse provisioning models makes it possible for telecom vendors and service providers to decide effective service and business models. Currently, cloud computing contains security, performance and dimensioning considerations for telecom companies. Objectives: This thesis assesses the trends and issues associated with the cloud, with telecommunications perspective, while leveraging the cloud to come to a decision on a suitable cloud environment for telecom grade applications. Analysis of maturity of public cloud (in terms of compatibility, consolidation, compliance and standardization) in general and Amazon cloud in particular, is part of the thesis objective. While doing so, deployment of a telecom-grade product in the Amazon cloud will be evaluated against the current on-premise deployment. We want to identify architectural difference between the two domains, and what issues are faced when a migration is planned. This evaluation between two systems, i.e. on-premise and the cloud will significantly contribute to the research and can be used when making business decisions. Methods: We conducted literature review, survey, and a case study, assessing the above mentioned objectives. Research papers from academia and industry were chosen for literature review; personnel, with experience in cloud computing, were chosen for the survey; and a telecom-grade platform was used to assess the migration issues on Amazon cloud in the case study. The Ericsson Composition Engine (ECE) was used to check what deployment issues it can have on Amazon cloud. Its on-premise Reference Deployment Architecture was compared with the cloud-based Reference Deployment Architecture. This case study served as a confirmation to results obtained in the literature review and survey. Results: In the literature review and survey, we found motivations, trends, current applications, and challenges of cloud computing for telecom. It was found from the case study that Amazon Web Services (AWS) lacks application and network centric attributes that are required in ECE deployment. We propose recommendations that can be integrated with ECE while deploying it in a public cloud. Conclusions: Companies are choosing cloud vendors that uniquely give ease of migration and control, based on application needs and compatibility. ECE cannot be directly migrated to AWS, unless we provide Amazon specific modifications in the architecture. The survey and literature review support a private and/or hybrid strategy for ECE, along with the inclusion of cloud networking into the ECE package.

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Величко, Георгій Вячеславович. "Методи та засоби прогнозування індексу акцій у реальному часі на базі хмарних обчислювальних сервісів." Master's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/46687.

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Магістерська дисертація: 92 с., 28 рис., 21 табл., 1 дод., 30 джерел. Тема роботи — Методи та засоби прогнозування індексу акцій у реальному часі на базі хмарних обчислювальних сервісів. Об’єкт дослідження — методи прогнозування акцій на базі хмарних обчислювальних сервісів. Предмет досліджень — багатошарова нейронна мережа, згорткова нейронна мережа та мережа довгої короткочасної пам’яті, хмарні обчислювальні сервіси, Amazon Web Services. Мета роботи — підвищити ефективність прогнозування індексу акцій на базі хмарних обчислювальних сервісів та розробити модель реалізації системи на базі хмарних сервісів. Актуальність — використання апарату штучних нейронних мереж дає змогу робити більш точні передбачення ціни акцій порівнюючи з іншими технічними методами. Хмарні сервіси забезпечують швидке та гнучке розгортання інфраструктури, забезпечує їх повсякчасну доступність. В ході виконання роботи було реалізовано декілька ахітектур нейронних мереж та проведено аналіз результатів їх роботи. Також було cпроектовано систему прогнозування індексу акцій в реальному часі на базі хмарних сервісів. Для покращення результатів у майбутньому можна застосувати Keras Tuner, який автоматично підбирає гіперпараметри нейронної мережі. Також можна використовувати додаткову інформацію про компанію і додавати ці дані до моделей.
Master`s thesis contains: 92 p., 21 tables, 28 fig., 1 add. and 30 references. The theme: The mechanisms tools for real-time stock market index prediction based on Cloud Compute Services. The objects of this research are mechanisms for stock market index prediction based on Cloud Compute Services. The subjects of this research are neural network architectures: multilayer neural network, convolutional neural network, long short-term memory, cloud compute services, Amazon Web Services. The purpose of this work is to improve efficiency of stock market index prediction based on Cloud Compute Services and design model of system for stock market index forecasting based on Cloud Compute Services. The relevance of this topic is that using neural networks could drastically improve stock market values forecasting comparing to other technical methods. Cloud compute services provides fast and flexible deployment of infrastructure as well as constant availability. Also designed a model of system for real-time stock index forecasting based on cloud compute services. During research I built three architectures of neural networks and analyzed which of them work better with the given case. For further research, it is possible to use Keras Tuner which allows to automatically tune hyperparameters on our neural network and improve output result. Also, additional data about companies provided real-time can improve models.

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Klečka, Filip. "Vývoj webové aplikace pro řízení projektů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378379.

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This diploma thesis focuses on the design, development and subsequent implementation of the web application at the company BKB Metal Plc. In that case it is the complete supply ready-made solution. The aim of this work is to develop and implement the web application into corporate environment that will serve as a support of project management and will especially provide the solution for creating visualization by using a Gantt diagram. The impetus for this project was primarily the inconvenient of the current solution, which is not support the key company requirements and as well efforts to reduce costs.

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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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Marques, Eliano Patrício Macedo. "Social media impact on stock prices." Master's thesis, Instituto Superior de Economia e Gestão, 2015. http://hdl.handle.net/10400.5/10642.

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Mestrado em Econometria Aplicada e Previsão
Este documento explora o impacto do social media nos preços das ações. Para medir tal impacto, foi construído uma plataforma online na Cloud da Amazon (AWS) recorrendo a ferramentas como o R, web APIs do Twitter, Google News, Google Finance, Yahoo News, Yahoo Finance e Financial Times. O objetivo deste estudo passa por criar uma base de dados para modelação com uma granularidade de 15 minutos incluindo como possíveis variáveis explicativas todas as noticias publicadas das fontes acima referidas para o Tesco e SKY. Posteriormente, recorrendo a uma técnica de GARCH multiplicativos, diversos modelos econométricos foram desenvolvidos com o objetivo de efetuar previsões a um passo dos retornos dos preços das ações acima referidos. Se efetivamente a informação do social media for relevante, deverá ser observado uma melhoria nas previsões dos retornos das ações. No decorrer do documento, será apresentado a metodologia utilizada no estudo e a sua aplicação em dados com elevada frequência. No geral, podemos concluir que a informação do social media é residualmente relevante para modelar e prever os retornos dos preços das ações e, nos modelos sem informação do Twitter, o segundo melhor modelo para o Tesco e o melhor modelo para a SKY, inclui informação do social media. No que se refere às fontes utilizadas, pode-se concluir que o Google Finance e o Financial Times relevam maior importância nos movimentos dos retornos das ações do que o Yahoo Finance e/ou Twitter, apesar de tal relevância ser muito residual e próxima de zero.
This dissertation explores the impact of social media on stock prices. In order to measure such an impact, an end-to-end online platform was created leveraging the Amazon Web Services cloud, open source R, web APIs from Twitter, Google News, Google Finance, Yahoo News, Yahoo Finance and Financial Times. The end goal was to create an intraday dataset that tracks all the news related to two companies Tesco PLC, SKY PLC and then perform several econometric models using a Multiplicative GARCH model to understand if the social media news from multiple sources are statistically relevant to measure the stock prices returns and if the forecast accuracy improves by including such covariates in the predictive equations. For all of the approaches it will be presented the respective theory background and their applications to high-frequency data. Overall it can be concluded that news, past market information and tweets didn't improve that much the stocks returns models and forecasting accuracy but, for models without Twitter, Tesco's 2nd best model and SKY's best model included social media news as covariates. Google Finance and Financial Times presented better results when compared to Yahoo Finance and/or Twitter, however, overall, the impact was very residual and closer to zero.

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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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Christopher, Rosenvall. "Semantic Segmentation of Iron Pellets as a Cloud Service." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-81950.

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This master’s thesis evaluates automatic data annotation and machine learning predictions of iron ore pellets using tools provided by Amazon Web Services (AWS) in the cloud. The main tool in focus is Amazon SageMaker which is capable of automatic data annotation as well as building, training and deploying machine learning models quickly. Three different models was trained using SageMakers built in semantic segmentation algorithm, PSP, FCN and DeepLabV3. The dataset used for training and evaluation contains 180 images of iron ore pellets collected from LKAB’s experimental blast furnace in Luleå, Sweden. The Amazon Web Services solution for automatic annotation was shown to be of no use when annotating microscopic images of iron ore pellets. Ilastik which is an interactive learning and segmentation toolkit showed far superiority for the task at hand. Out of the three trained networks Fully-Convolutional Network (FCN) performed best looking at inference and training times, it was the quickest network to train and performed within 1% worse than the fastest in regard to inference time. The Fully-Convolutional Network had an average accuracy of 85.8% on the dataset, where both PSP & DeepLabV3 was showing similar performance. From the results in this thesis it was concluded that there are benefits of running deep neural networks as a cloud service for analysis and management ofiron ore pellets.

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Maga, Martin. "Automatizovaná podpora testování a vydávání serverových aplikací." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363791.

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Task of this master thesis is to create system for support of automated testing and deploying of server applications according to requirements defined by company AVG. The main target is create system for deploying and testing that automatically or manually test the server application in the cloud environment with ability of final deployment to the production environment with overall progress monitoring. Automated testing and deploying system has been split to the two parts. The first part is user interface that allows adding new applications, testing applications and deploying applications to its production environment. The second part represents the REST service which process testing and deploying tasks and store progress to database. System was tested with sample server's applications in Amazon Web Services cloud environment. Thesis describes general testing principles cross multiple areas. Also it contains general architecture withing diagrams, which shows use cases. At the end of thesis is described testing of samples application together with results.

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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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Cavallin, Riccardo. "Approccio blockchain per la gestione dei dati personali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21604/.

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L'elaborato presenta la tecnologia blockchain nelle sue funzionalità e nei suoi limiti. In particolare sono presentate le piattaforme Ethereum, RadixDLT e IOTA. Vengono discusse le implicazioni del regolamento GDPR nei confronti di questa tecnologia per la costruzione di Data Marketplace basato su Ethereum. Dopo aver presentato l'architettura di un marketplace si analizzano le prestazioni di diversi servizi di storage online per l'archiviazione di dati personali.

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Avutu, Neeraj. "Performance Evaluation of MongoDB on Amazon Web Service and OpenStack." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16856.

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Context MongoDB is an open-source, scalable, NoSQL database that distributes the data over many commodity servers. It provides no single point of failure by copying and storing the data in different locations. MongoDB uses a master-slave design rather than the ring topology used by Cassandra. Virtualization is the technique used for accessing multiple machines in a single host and utilizing the various virtual machines. It is the fundamental technology, which allows cloud computing to provide resource sharing among the users. Objectives Studying and identifying MongoDB, Virtualization on AWS and OpenStack. Experiments were conducted to identify the CPU utilization associated when Mongo DB instances are deployed on AWS and physical server arrangement. Understanding the effect of Replication in the Mongo DB instances and its effect on MongoDB concerning throughput, CPU utilization and latency. Methods Initially, a literature review is conducted to design the experiment with the mentioned problems. A three node MongoDB cluster runs on Amazon EC2 and OpenStack Nova with Ubuntu 16.04 LTS as an operating system. Latency, throughput and CPU utilization were measured using this setup. This procedure was repeated for five nodes MongoDB cluster and three nodes production cluster with six types of workloads of YCSB. Results Virtualization overhead has been identified in terms of CPU utilization and the effects of virtualization on MongoDB are found out in terms of CPU utilization, latency and throughput. Conclusions It is concluded that there is a decrease in latency and increases throughput with the increase in nodes. Due to replication, increase in latency was observed.

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Lövgren, Magdalena. "Kriterier för säkerhetskopiering i molnet : En fallstudie med Amazon Web Service." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34007.

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Säkerhetskopiering är ett sätt att kunna skydda data genom att kopiera och spara data på till exempel hårddiskar, externa servrar eller i molnet. Att spara på egna servrar kan dock vara en kostsam lösning för företag och organisationer, både inköp av servrar, installationer samt underhåll kan göra att kostnaderna drar iväg. Med säkerhetskopiering i molnet försvinner stora delar av den kostnaden, inga servrar behöver köpas in och därmed behövs inte heller något underhåll som installationer, byte av hårddiskar med mera, skötas eftersom molnleverantören sköter all hårdvara. Det finns många aspekter att tänka på innan en flytt görs till en molntjänst. Saker som kostnad, säkerhet, topologi och att automatisera säkerhetskopieringen kan påverkas av valet av molntjänst. Det är därför av extra stor vikt att ha säkerheten i åtanke då den data som sparas och kopieras kan innehålla känslig information som inte bör komma ut till andra då detta kan skada företaget eller organisationen. Därför bör dessa aspekter ses över innan valet av molntjänst görs. Denna rapport syftar att lyfta fram information om säkerhetskopiering och molntjänster för företag som står vid ett vägskäl och ska till att välja molntjänst. Fokus för rapporten ligger på att kostnad, säkerhet och automatisering av säkerhetskopiering mot molntjänster. Rapporten passar därmed åt företag som är intresserade av molntjänster och söker information på vad som är viktigt att tänka på innan en molntjänst väljs. Säkerhetsanalysen kommer bestå av en riskanalys som utgår från Cloud Security Alliance (CSA) forskning där de tagit fram de vanligaste hoten kring molntjänster och en utvärdering kring hur stor dessa risker är kommer att göras med hjälp av en matris. Genom att dra paralleller mot existerande molnföretag ska läsaren kunna få en känsla av hur säkerhetsriskerna kan inträffa och vad som behövs för att undvika riskerna. Vidare tas kriterierna för molntjänster upp och jämförs genom ett stapeldiagram där de viktigaste kriterierna presenteras och sedan diskuteras. Kriterierna tas fram genom sökningar via sökmotorer där en fras används för att se vad som olika skribenter och företag anser vara de viktigaste kriterierna. För kostnaden görs en jämförelse mellan olika molnleverantörer och deras priser kring molntjänsterna. Ett scenario för användning av olika resurser som till exempel GB per nedladdning eller anrop kommer att tas fram baserat på de praktiska delarna i studien. Detta scenario används sedan som bas för att ta fram en ungefärlig kostnad per år för de olika molntjänsterna. Till sist redovisas också ett skript för säkerhetskopieringen för att demonstrera hur en säkerhetskopieringslösning i molnet skulle kunna se ut. Detta genom att jobba med verktyget Amazon Web Service (AWS) där en virtuell miljö sats upp och sedan säkerhetskopierats mot AWS. Slutsatsen för rapporten visar på att säkerhet ofta är något som förbises av användare, medvetet eller ej. Både kriterier och risker-analysen i rapporten lyfter fram säkerhet som en av de viktigaste delarna i molntjänster. För kriterier togs topologi fram som den viktigaste aspekten kring molntjänster, där säkerhet och support kom delad tvåa. Vidare tog riskanalysen upp avsaknaden av säkerhet inom molntjänster och lyfte fram riktiga händelser som påverkat stora företag. Det behövs mer kunskap inom säkerhet för många företag och organisationer eftersom de kan förbise detta till förmån för enklare lösningar. Detta trots att säkerhet rankas som en av de viktigaste aspekterna vid val av molntjänst, tillsammans med topologi och support. Trots att säkerhetsbristen tas upp i rapporten verkar det inte vara saknaden av verktyg som är felet, det finns mycket att jobba med inom molntjänster och det går att implementera säkerhetslösningar bara viljan finns. Vidare är kostnaden mellan olika molntjänster oftast inte är alltför stor. De allra flesta molntjänster som jämförts i rapporten ser till att hålla en rimlig kostnad som liknar dess konkurrent. De etiska aspekter som tagits upp i rapporten handlar om ansvar och frågan om vem ansvaret ligger på tas upp. Här handlar argumentet om huruvida det är molnleverantörens ansvar att se till att förenkla och verkligen se till att kunder förstår och använder sig av säkerhetslösningarna de tagit fram, eller om det är företagens egna ansvar att se till att känslig information som kunduppgifter inte kommer ut.
Backup is a way of protecting data through copying and saving data on for an example hard drives, external servers or in the cloud. To save the backup on local servers can be a costly solution for business and organisations since the cost of buying servers, installation and maintenance may cause the cost to increase. With backups in the cloud some of that cost disappears as no servers needs to be bought and without the need for servers there is no need for maintenance like installation, change of hardware etcetera. This is because all of that is taken care of by the cloud service provider. But there are a lot of things to consider before moving to the cloud. Things such as cost, security, topology and the option to automatizate the backup could all affect the choice of cloud service. This is why it is of a great importance to have security in mind since the data that backups could contain sensitive information that could harm the business or organisation, if leaked. This report has the purpose to produce information regarding backups and cloud services for business and organisations that are at a crossroad trying to pick a cloud service provider. The focus of the report lies on cost, security and to automate the process of backups to the cloud. Therefore the report is suited for business that are interested in cloud services and that are on the lookout for information on what is important to think about before they choose a cloud service provider. The security analysis will consist of a risk analysis that is using the study done by Cloud Security Alliance as a base. They have through a study produced a paper on the twelve most common risk with cloud services, there will be evaluated in the report and placed on a matrix. By comparing the risk and drawing parallels to existing cloud service providers it looks to give the reader more knowledge around risks in cloud services and how to avoid them. Further the criterias for the cloud services will be brought up and compared through a staple diagram which will then be discussed. The criterias was made through searches via a search engine using a phrase to see what writers and companies thought were the most important criterias. The cost of the cloud services was done through a comparison between different cloud service provider and their cloud services. A user-case scenario was made based on the practical parts of the study where costs such as GB per download and request were part of the final yearly cost for each of the cloud service. Lastly there’s a script for the backup to demonstrate how a backup solution in a cloud could look like. This is done through working with the tool Amazon Web Service (AWS) in a virtual environment that would backup to AWS. Bigger parts of the inquiry shows that security is often overlooked which is part of the conclusion in the report. Both the criteria and the risk-analysis in the report lifts the security aspects as one of the most important part of cloud services. For criterias it shows topology as the most important aspect in choosing a cloud service, security and support being second. Furthermore the risk analysis brought up the lack of security in cloud services and gives examples from real life events where big companies have had their security breach. More knowledge is needed when it comes to security, for a lot of companies and organisation since they can often overlook security in favor of a simpler solution. Even though security is one of the most important aspects when choosing a cloud service and should be treated as such. Despite the lack of security being brought up in the report it seems there are a lot of tools to work with within the cloud services, as long as the will exist to work with these tools. It is not the lack of tools but rather the ignorance or lack of understanding of security that is the cause of the problem. As for the cost it turns out to not be such a big difference, it is only ranked as the third most important thing when choosing a cloud service and during the comparison it shows that most cloud services sticks to similar prices as their competition. The ethical aspects in the report is about responsibility and the question on who is responsible is brought up. Here the argument is about whether or not it is the cloud service providers responsibility to make sure their users understand the security tools they provide or to make sure they are enforced. Or if it is the users responsibility to make use of the tools they are given and to not think too lightly of security.

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Fockstedt, Jonas, and Ema Krcic. "Unsupervised anomaly detection for structured data - Finding similarities between retail products." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44756.

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Data is one of the most contributing factors for modern business operations. Having bad data could therefore lead to tremendous losses, both financially and for customer experience. This thesis seeks to find anomalies in real-world, complex, structured data, causing an international enterprise to miss out on income and the potential loss of customers. By using graph theory and similarity analysis, the findings suggest that certain countries contribute to the discrepancies more than other countries. This is believed to be an effect of countries customizing their products to match the market’s needs. This thesis is just scratching the surface of the analysis of the data, and the number of opportunities for future work are therefore many.

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Sathvik, Katam. "Performance Tuning of Big Data Platform : Cassandra Case Study." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12896.

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Usage of cloud-based storage systems gained a lot of prominence in fast few years. Every day millions of files are uploaded and downloaded from cloud storage. This data that cannot be handled by traditional databases and this is considered to be Big Data. New powerful platforms have been developed to store and organize big and unstructured data. These platforms are called Big Data systems. Some of the most popular big data platform are Mongo, Hadoop, and Cassandra. In this, we used Cassandra database management system because it is an open source platform that is developed in java. Cassandra has a masterless ring architecture. The data is replicated among all the nodes for fault tolerance. Unlike MySQL, Cassandra uses per-column basis technique to store data. Cassandra is a NoSQL database system, which can handle unstructured data. Most of Cassandra parameters are scalable and are easy to configure. Amazon provides cloud computing platform that helps a user to perform heavy computing tasks over remote hardware systems. This cloud computing platform is known as Amazon Web Services. AWS services also include database deployment and network management services, that have a non-complex user experience. In this document, a detailed explanation on Cassandra database deployment on AWS platform is explained followed by Cassandra performance tuning. In this study impact on read and write performance with change Cassandra parameters when deployed on Elastic Cloud Computing platform are investigated. The performance evaluation of a three node Cassandra cluster is done. With the knowledge of configuration parameters a three node, Cassandra database is performance tuned and a draft model is proposed. A cloud environment suitable for the experiment is created on AWS. A three node Cassandra database management system is deployed in cloud environment created. The performance of this three node architecture is evaluated and is tested with different configuration parameters. The configuration parameters are selected based on the Cassandra metrics behavior with the change in parameters. Selected parameters are changed and the performance difference is observed and analyzed. Using this analysis, a draft model is developed after performance tuning selected parameters. This draft model is tested with different workloads and compared with default Cassandra model. The change in the key cache memory and memTable parameters showed improvement in performance metrics. With increases of key cache size and save time period, read performance improved. This also showed effect on system metrics like increasing CPU load and disk through put, decreasing operation time and The change in memTable parameters showed the effect on write performance and disk space utilization. With increase in threshold value of memTable flush writer, disk through put increased and operation time decreased. The draft derived from performance evaluation has better write and read performance.

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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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Hansson, Andreas. "AI Meeting Monitoring." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-81105.

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During the COVID-19 pandemic the questions of the efficiency around meetings has been in the forefront of some discussion inside companies. One way to measure efficiency is to measure the interactivity between different participants. In order to measure this the participants need to be identified. With the recent spike of Machine learning advancements, is this something that can be done using facial and voice recognition? Another field that has risen to the top is cloud computing. Can machine learning and cloud computing be used to evaluate and monitor a meeting, thus handling both audio and video streams in a real time environment? The conclusion of this thesis is that Artificial Intelligence(AI) can be used to monitor a meeting. To be able to do so Amazon Web Service (AWS) can be utilized. The choice of using a DeepLens was however not best choice. A hardware like DeepLens is required, but with better integration with cloud computing, as well with more freedom regarding the usage of several models for handling both feeds. With the usage of other models to automatic annotate data the time needed for training a new model can be reduced. The data generated during a single meeting is enough with the help of transfer learning from Amazon web service to build a model for facial identification and detection.

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Talevi, Iacopo. "Big Data Analytics and Application Deployment on Cloud Infrastructure." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14408/.

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This dissertation describes a project began in October 2016. It was born from the collaboration between Mr.Alessandro Bandini and me, and has been developed under the supervision of professor Gianluigi Zavattaro. The main objective was to study, and in particular to experiment with, the cloud computing in general and its potentiality in the data elaboration field. Cloud computing is a utility-oriented and Internet-centric way of delivering IT services on demand. The first chapter is a theoretical introduction on cloud computing, analyzing the main aspects, the keywords, and the technologies behind clouds, as well as the reasons for the success of this technology and its problems. After the introduction section, I will briefly describe the three main cloud platforms in the market. During this project we developed a simple Social Network. Consequently in the third chapter I will analyze the social network development, with the initial solution realized through Amazon Web Services and the steps we took to obtain the final version using Google Cloud Platform with its charateristics. To conclude, the last section is specific for the data elaboration and contains a initial theoretical part that describes MapReduce and Hadoop followed by a description of our analysis. We used Google App Engine to execute these elaborations on a large dataset. I will explain the basic idea, the code and the problems encountered.

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Bassanelli, Francesco. "Utilizzo del cloud per la realizzazione di un ambiente di sviluppo software agile." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21750/.

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La tesi si occupa di documentare il deployment di un ambiente di sviluppo software su cloud. In partcolare si tratta dell'ambiente CAS, un progetto di un gruppo di ricerca del Dipartimento di Informatica dell'Università di Bologna. Per portare CAS su cloud viene utilizzata la tecnologia Docker e i servizi cloud offerti da Amazon Web Service.

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Vadivelu, Somasundaram. "Sensor data computation in a heavy vehicle environment : An Edge computation approach." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235486.

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In a heavy vehicle, internet connection is not reliable, primarily because the truck often travels to a remote location where network might not be available. The data generated from the sensors in a vehicle might not be sent to the internet when the connection is poor and hence it would be appropriate to store and do some basic computation on those data in the heavy vehicle itself and send it to the cloud when there is a good network connection. The process of doing computation near the place where data is generated is called Edge computing. Scania has its own Edge computation solution, which it uses for doing computations like preprocessing of sensor data, storing data etc. Scania’s solution is compared with a commercial edge computing platform called as AWS (Amazon Web Service’s) Greengrass. The comparison was in terms of Data efficiency, CPU load, and memory footprint. In the conclusion it is shown that Greengrass solution works better than the current Scania solution in terms of CPU load and memory footprint, while in data efficiency even though Scania solution is more efficient compared to Greengrass solution, it was shown that as the truck advances in terms of increasing data size the Greengrass solution might prove competitive to the Scania solution.One more topic that is explored in this thesis is Digital twin. Digital twin is the virtual form of any physical entity, it can be formed by obtaining real-time sensor values that are attached to the physical device. With the help of sensor values, a system with an approximate state of the device can be framed and which can then act as the digital twin. Digital twin can be considered as an important use case of edge computing. The digital twin is realized with the help of AWS Device shadow.
I ett tungt fordonsscenario är internetanslutningen inte tillförlitlig, främst eftersom lastbilen ofta reser på avlägsna platser nätverket kanske inte är tillgängligt. Data som genereras av sensorer kan inte skickas till internet när anslutningen är dålig och det är därför bra att ackumulera och göra en viss grundläggande beräkning av data i det tunga fordonet och skicka det till molnet när det finns en bra nätverksanslutning. Processen att göra beräkning nära den plats där data genereras kallas Edge computing. Scania har sin egen Edge Computing-lösning, som den använder för att göra beräkningar som förbehandling av sensordata, lagring av data etc. Jämförelsen skulle vara vad gäller data efficiency, CPU load och memory consumption. I slutsatsen visar det sig att Greengrass-lösningen fungerar bättre än den nuvarande Scania-lösningen när det gäller CPU-belastning och minnesfotavtryck, medan det i data-effektivitet trots att Scania-lösningen är effektivare jämfört med Greengrass-lösningen visades att när lastbilen går vidare i Villkor för att öka datastorleken kan Greengrass-lösningen vara konkurrenskraftig för Scania-lösningen. För att realisera Edge computing används en mjukvara som heter Amazon Web Service (AWS) Greengrass.Ett annat ämne som utforskas i denna avhandling är digital twin. Digital twin är den virtuella formen av någon fysisk enhet, den kan bildas genom att erhålla realtidssensorvärden som är anslutna till den fysiska enheten. Med hjälp av sensorns värden kan ett system med ungefärligt tillstånd av enheten inramas och som sedan kan fungera som digital twin. Digital twin kan betraktas som ett viktigt användningsfall vid kantkalkylering. Den digital twin realiseras med hjälp av AWS Device Shadow.

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Hansson, Markus. "Tracking and Serving Geolocated Ads, Load Balancing, and Scaling of Server Resources." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70030.

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This thesis explores the creation of a scaling, containerized, advertisement server that will be used by Gold Town Games AB to better integrate ads into their application(s). The server is built as a Docker image that will be used to create server instances on AWS Elastic Container Service for automatic scaling and server resource configuration. The server was created with the intention that GTG will have full control over what advertisements are shown in their application(s) and to seamlessly integrate sponsored logos onto jerseys or sports fields. This will not only serve as a source of income with advertisers paying for ad space, but it will also make the game elements more realistic as we have come to expect teams and stadiums to be sponsored and plastered with company logos. Another important part when displaying advertisement is to track statistics for the ads, since without a way to show advertisers that their ads are shown and that they are generating engagement it is very hard to sell the ad space.
Detta examensarbete utforskar skapandet av en skalbar, containerbaserad, reklamserver som kommer användas av Gold Town Games AB för att integrera reklam i deras applikation(er). Servern är byggd som en Docker-bild som används för att skapa instanser på AWS Elastic Container Service för automatisk skalning och serverresurshantering. Servern är utvecklad med tanken att GTG ska ha full kontroll över vilken reklam som visas i deras applikation(er) och för att kunna lägga till sponsrade loggor på matchtröjor och i arenor. Detta är inte bara en extra form av inkomst, då annonsörer betalar för reklamplatser, utan hjälper även till att få delar av spelen att kännas mer realistiska då vi är vana att lag och arenor är sponsrade och fulla av företagsloggor. En annan viktig del när man visar reklam är att kunna spara statistik för den, eftersom det skulle vara väldigt svårt att sälja reklamplatser utan att kunna visa att folk faktiskt ser reklamen.

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Власюк, Богдан Сергійович. "Інтегроване середовище розробки формальних граматик." Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/43990.

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Мета роботи: створити систему, за допомогою якої можна перевіряти формальні граматики на граматичні помилки, а також побудувати синтаксичні діаграми. Робота складається з п’яти розділів. У першому розділі формується постановка задачі та розповідається про загальну структуру системи. У другому розділі робиться огляд предметної області та існуючих систем, проводиться їх аналіз. У третьому розділі вказується інструменти за допомогою яких була побудована система. У четвертому розділі описується програмна реалізація системи, в якій розповідається про архітектуру системи, її окремі компоненти та модулі. У п’ятому розділі демонструються приклади з використання системи, наводиться алгоритм взаємодії користувача з системою, і водночас є інструкцією з використання системи.
Purpose of the work is creating a system that can be used to check formal grammars for grammatical errors, as well as to build syntactic diagrams. The work consists of five sections. In the first section the problem statement is formed and the general structure of the system is told. The second section reviews the subject area and existing systems, analyzes them. The third section indicates the tools with which the system was built. The fourth section describes the software implementation of the system, which describes the architecture of the system, its individual components and modules. The fifth section shows examples of how to use the system, provides an algorithm for user interaction with the system, and at the same time provides instructions for using the system.
Цель работы: создать систему, с помощью которой можно проверять формальные грамматики на грамматические ошибки, а также построить синтаксические диаграммы. Работа состоит из пяти разделов. В первом разделе формируется постановка задачи и рассказывается об общей структуре системы. Во втором разделе делается обзор предметной области и существующих систем, проводится их анализ. В третьем разделе указывается инструменты с помощью которых была построена система. В четвертом разделе описывается программная реализация системы, в которой рассказывается об архитектуре системы, ее отдельные компоненты и модули. В пятом разделе демонстрируются примеры по использованию системы, приводится алгоритм взаимодействия пользователя с системой, и одновременно является инструкцией по использованию системы.

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50

Вдовенко, Станіслав Олександрович. "Розробка сервісу збереження файлів з використання технологій Amazon Web Services." Магістерська робота, 2020. https://dspace.znu.edu.ua/jspui/handle/12345/1674.

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Вдовенко С. О. Розробка сервісу збереження файлів з використання технологій Amazon Web Services : кваліфікаційна робота магістра спеціальності 121 "Інженерія програмного забезпечення" / наук. керівник О. В. Кудін. Запоріжжя : ЗНУ, 2020. 44 с.
UA : Робота викладена на 44 сторінках друкованого тексту, містить 30 рисунків, 8 джерел. Об’єкт дослідження: процес обробки та збереження користувацьких зображень у хмарних сховищах та базах даних, а також системи прийому й обробки електронних платежів для проведення фінансових операцій у всесвітній мережі інтернет. Мета роботи: розробити сервісу збереження файлів з використанням технологій Amazon Web Services, для чого виконується порівняння представлених рішень, а також розробити на їх основі додаток, що буде надавати доступ до їх функціонала, а також розширювати його новою бізнес логікою. Методи дослідження: порівняльний, методи програмної інженерії.
EN : The work is presented on 44 pages of printed text, 30 figures, 8 references. The object of study is the scope of processing and storing user images to cloud storage and databases, as well as the system for receiving and processing electronic payments for financial transactions on the Internet. The aim of the study to explore existing software solutions for processing and storing custom images to cloud storage and databases, as well as systems for receiving and processing electronic payments for financial transactions on the Internet. Compare the solutions presented and develop an application that will give them access to their functionality, as well as expand it with new business logic. The methods research are compare and analyze the solutions presented for processing and storing custom images to cloud storage and databases, as well as the system for receiving and processing electronic payments.

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