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Dissertations / Theses on the topic 'Cloud computing Blended learning'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Gera, Amit. "Provisioning for Cloud Computing." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293740673.

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2

Singh, Vivek Kumar. "Essays on Cloud Computing Analytics." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7943.

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This dissertation research focuses on two key aspects of cloud computing research – pricing and security using data-driven techniques such as deep learning and econometrics. The first dissertation essay (Chapter 1) examines the adoption of spot market in cloud computing and builds IT investment estimation models for organizations adopting cloud spot market. The second dissertation essay (Chapter 2 and 3) studies proactive threat detection and prediction in cloud computing. The final dissertation essay (Chapter 4) develops a secured cloud files system which protects organizations using cloud co

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3

Wong, Wai Ho. "Predicting Demand in Cloud Computing Environments." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9497.

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Cloud computing is a new computing paradigm that enables elastic on-demand pay-per-use access to shared computational resources. However, there are current limitations on the elasticity of cloud resources specifically deployment delays and mismatches in pricing granularity. Demand prediction - the estimation of future demand - serves to mitigate these limitations of elasticity. The focus of this thesis is the demand predictor that operates within the context of cloud resource management. It fulfils three tasks: 1) learn demand patterns from past demand behaviour; 2) predict upcoming demand

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Andersson, Mattias, and Christopher Ludvigsson. "Cloud Computing : Lärplattform i molnet." Thesis, Uppsala universitet, Institutionen för informatik och media, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155080.

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Cloud computings framväxt har möjliggjort tillhandhållande av datorresurser online och erbjuder två väsentliga egenskaper, dels upplevda oändliga resurser och dels betalning per resursförbrukning. Lärplattformar används idag i stor utsträckning av de svenska universiteten och högskolorna som studieverktyg. Detta medför bättre möjligheter för distanskurser och e-inlärning. Att kombinera cloud computing med en lärplattform är idag möjligt och bör därför ge skolorna fördelar. Om lärplattformen driftas som molntjänst av extern leverantör bör också kraven se annorlunda ut. Syftet med uppsatsen är a

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Agrawal, Harsh. "CloudCV: Deep Learning and Computer Vision on the Cloud." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71381.

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We are witnessing a proliferation of massive visual data. Visual content is arguably the fastest growing data on the web. Photo-sharing websites like Flickr and Facebook now host more than 6 and 90 billion photos, respectively. Unfortunately, scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same algorithmic and infrastructural problems. Designing and implementing efficient and provably correct computer vision algorithms is extremely challenging. Researchers must repeatedly solve the same low-level problems: building and maintaining a clust

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Naranjo, Delgado Diana María. "Serverless Computing Strategies on Cloud Platforms." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/160916.

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[ES] Con el desarrollo de la Computación en la Nube, la entrega de recursos virtualizados a través de Internet ha crecido enormemente en los últimos años. Las Funciones como servicio (FaaS), uno de los modelos de servicio más nuevos dentro de la Computación en la Nube, permite el desarrollo e implementación de aplicaciones basadas en eventos que cubren servicios administrados en Nubes públicas y locales. Los proveedores públicos de Computación en la Nube adoptan el modelo FaaS dentro de su catálogo para proporcionar computación basada en eventos altamente escalable para las aplicaciones. Por

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Piovesan, Sandra Dutra. "U-SEA: UM AMBIENTE DE APRENDIZAGEM UBÍQUO UTILIZANDO CLOUD COMPUTING." Universidade Federal de Santa Maria, 2011. http://repositorio.ufsm.br/handle/1/5388.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The diffusion of the learning virtual environments use shows a great potential to the applications development that meet the needs in the education area. In view of the importance of a more dynamic application and one that can adapt itself to the needs of the students, it was proposed and developed the U-SEA (oblique adapted teaching system). This system was built based on the learning virtual environment Moodle and on the module Mle-Moodle, available in an infrastructure of Cloud-Computing and has as a main finality the adaptation

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Liverani, Tommaso. "Federated Learning per Applicazioni Edge Cloud su Piattaforma fog05." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Federated learning è sicuramente una delle tecniche di machine learning di maggiore interesse attualmente. Esso trova applicazione nello scenario fog computing in cui risulta spesso necessario mantenere la riservatezza dei dati mantenuti nei nodi fog. La riservatezza dei dati è infatti una delle caratteristiche peculiari dei processi di federated learning. In tali scenari risulta particolarmente utile impiegare una piattaforma con supporto alla migrazione che potrà essere utilizzato per implementare determinati meccanismi come il bilanciamento di carico. Questo supporto potrà quindi esser

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Della, Penna Roberto. "Edge Cloud Computing Middleware per Predictive Maintenance in Industria 4.0." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20065/.

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Il paradigma Edge Cloud Computing ha assunto, negli ultimi anni, un ruolo sempre più importante, soprattutto nel contesto di Industria 4.0, in cui la nascita di nuovi modelli di business basati sull’acquisizione e l’analisi di dati si sono scontrati con le limitazioni imposte dal modello architetturale classico introdotto dal paradigma Cloud Computing. In particolare, la latenza, il consumo di banda, e la dipendenza da un’infrastruttura centralizzata sono stati i fattori abilitanti per l’evoluzione del modello a due livelli, composto da sorgenti dati e infrastruttura cloud, verso l’introduzion

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Khan, Syeduzzaman. "A PROBABILISTIC MACHINE LEARNING FRAMEWORK FOR CLOUD RESOURCE SELECTION ON THE CLOUD." Scholarly Commons, 2020. https://scholarlycommons.pacific.edu/uop_etds/3720.

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The execution of the scientific applications on the Cloud comes with great flexibility, scalability, cost-effectiveness, and substantial computing power. Market-leading Cloud service providers such as Amazon Web service (AWS), Azure, Google Cloud Platform (GCP) offer various general purposes, memory-intensive, and compute-intensive Cloud instances for the execution of scientific applications. The scientific community, especially small research institutions and undergraduate universities, face many hurdles while conducting high-performance computing research in the absence of large dedicated cl

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11

Hunt, Kristian. "Log Analysis for Failure Diagnosis and Workload Prediction in Cloud Computing." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189186.

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The size and complexity of cloud computing systems makes runtime errors inevitable. These errors could be caused by the system having insufficient resources or an unexpected failure in the system. In order to be able to provide highly available cloud computing services it is necessary to auto- mate the resource provisioning and failure diagnosing processes as much as possible. Log files are often a good source of information about the current status of the system. In this thesis methods for diagnosing failures and predicting system workload using log file analysis are presented and the perform

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Chillotti, Ilaria. "Vers l'efficacité et la sécurité du chiffrement homomorphe et du cloud computing." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLV020.

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Le chiffrement homomorphe est une branche de la cryptologie, dans laquelle les schémas de chiffrement offrent la possibilité de faire des calculs sur les messages chiffrés, sans besoin de les déchiffrer. L’intérêt pratique de ces schémas est dû à l’énorme quantité d'applications pour lesquels ils peuvent être utilisés. En sont un exemple le vote électronique, les calculs sur des données sensibles, comme des données médicales ou financières, le cloud computing, etc..Le premier schéma de chiffrement (complètement) homomorphe n'a été proposé qu'en 2009 par Gentry. Il a introduit une technique app

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Drolia, Utsav. "Adaptive Distributed Caching for Scalable Machine Learning Services." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1004.

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Applications for Internet-enabled devices use machine learning to process captured data to make intelligent decisions or provide information to users. Typically, the computation to process the data is executed in cloud-based backends. The devices are used for sensing data, offloading it to the cloud, receiving responses and acting upon them. However, this approach leads to high end-to-end latency due to communication over the Internet. This dissertation proposes reducing this response time by minimizing offloading, and pushing computation close to the source of the data, i.e. to edge servers a

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Pannu, Husanbir Singh. "Semi-supervised and Self-evolving Learning Algorithms with Application to Anomaly Detection in Cloud Computing." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc177238/.

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Semi-supervised learning (SSL) is the most practical approach for classification among machine learning algorithms. It is similar to the humans way of learning and thus has great applications in text/image classification, bioinformatics, artificial intelligence, robotics etc. Labeled data is hard to obtain in real life experiments and may need human experts with experimental equipments to mark the labels, which can be slow and expensive. But unlabeled data is easily available in terms of web pages, data logs, images, audio, video les and DNA/RNA sequences. SSL uses large unlabeled and few labe

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Inci, Mehmet Sinan. "Micro-architectural Threats to Modern Computing Systems." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-dissertations/528.

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With the abundance of cheap computing power and high-speed internet, cloud and mobile computing replaced traditional computers. As computing models evolved, newer CPUs were fitted with additional cores and larger caches to accommodate run multiple processes concurrently. In direct relation to these changes, shared hardware resources emerged and became a source of side-channel leakage. Although side-channel attacks have been known for a long time, these changes made them practical on shared hardware systems. In addition to side-channels, concurrent execution also opened the door to practical qu

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Vervaet, Arthur. "Automated Log-Based Anomaly Detection within Cloud Computing Infrastructures." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS548.

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Les plateformes de Cloud Computing mettent à disposition de leurs clients différentes ressources informatiques à la demande. Cette externalisation rend les fournisseurs garants de la haute disponibilité et de la qualité de leurs services. La gestion d'un parc de ressources mutualisées en croissance constante demande de minimiser l'intervention humaine afin de suivre le changement d'échelle des infrastructures et d'éviter les erreurs. Dans cette thèse, réalisée en collaboration avec 3DS OUTSCALE, un fournisseur français de cloud public, nous explorons le potentiel des logs informatiques pour la

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Ameur, Yulliwas. "Exploring the Scope of Machine Learning using Homomorphic Encryption in IoT/Cloud." Electronic Thesis or Diss., Paris, HESAM, 2023. http://www.theses.fr/2023HESAC036.

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L'apprentissage automatique en tant que service (MLaaS) a accéléré l'adoption des techniques d'apprentissage automatique dans divers domaines. Toutefois, cette tendance a également soulevé de sérieuses inquiétudes quant à la sécurité et à la confidentialité des données sensibles utilisées dans les modèles d'apprentissage automatique. Pour relever ce défi, notre approche consiste à utiliser le chiffrement homomorphique.Cette thèse explore l'application du chiffrement homomorphe dans divers contextes d'apprentissage automatique. La première partie du travail se concentre sur l'utilisation du chi

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You, Yantian. "Cloud Auto-Scaling Control Engine Based on Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239066.

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With the development of modern data centers and networks, many service providers have moved most of their computing functions to the cloud. Considering the limitation of network bandwidth and hardware or virtual resources, how to manage different virtual resources in a cloud environment so as to achieve better resource allocation is a big problem. Although some cloud infrastructures provide simple default auto-scaling and orchestration mechanisms, such as OpenStack Heat service, they usually only depend on a single parameter, such as CPU utilization and cannot respond to the network changes

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Chibaro, Nowell. "Adoption of cloud pedagogy by higher learning institutions in Southern Africa." Thesis, Cape Peninsula University of Technology, 2015. http://hdl.handle.net/20.500.11838/2289.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2015.<br>Previous research work in the field of education has highlighted that technology plays an integral role in deepening and accelerating learning. New technologies are providing educators with new tools to support teaching. Cloud computing is one such new technology that promises to take the knowledge delivery process to greater heights. The integration of cloud computing into the teaching and learning environment will enhance the curriculum and creates an embedded learning environment known as cloud pedago

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Mohammed, Bashir. "A Framework for Efficient Management of Fault Tolerance in Cloud Data Centres and High-Performance Computing Systems: An Investigation and Performance analysis of a Cloud Based Virtual Machine Success and Failure Rate in a typical Cloud Computing Environment and Prediction Methods." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/17400.

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Cloud computing is increasingly attracting huge attention both in academic research and industry initiatives and has been widely used to solve advanced computation problem. As cloud datacentres continue to grow in scale and complexity, the risk of failure of Virtual Machines (VM) and hosts running several jobs and processing large amount of user request increases and consequently becomes even more difficult to predict potential failures within a datacentre. However, even though fault tolerance continues to be an issue of growing concern in cloud and HPC systems, mitigating the impact of failur

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Rinaldi, Riccardo. "Deployment e Gestione di Applicazioni di Federated Learning in Edge Cloud Computing basate sul Framework Fog05." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Il Federated Learning è la nuova branca del Machine Learning nata per sopperire al bisogno di nuovi sistemi architetturali che siano in grado di gestire i Big Data e allo stesso tempo garantire la privacy di eventuali dati sensibili. Per poter operare a queste due condizioni si è pensato di raccogliere i dati in un database centralizzato in modo che questi non lascino mai i margini della rete. Ecco perché è subentrato il mondo dell’edge computing in cui dispositivi intelligenti, posti tra il cloud e le Things, hanno il compito di pre-processare i dati raccolti per poi aggregarli su un unico se

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Corser, Kristy L. "Teaching and learning with cloud platforms in the primary school classroom." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/157473/1/Kristy_Corser_Thesis.pdf.

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This research investigated teaching and learning with Chromebook computers and Google's G Suite for Education in a Queensland year 5 primary school classroom. The research used Actor Network Theory and Communities of Practice theory to explore the material aspects of using technologies in the classroom, and how cloud-based technologies promote collaborative learning. Analysis of classroom practice revealed the potential advantages of using cloud platforms in education, while analysis of technology policies from the Federal government level to the classroom revealed misalignments in expectation

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Ai, Xusheng. "A TIERED RECOMMENDER SYSTEM FOR COST-EFFECTIVE CLOUD INSTANCE SELECTION." Scholarly Commons, 2021. https://scholarlycommons.pacific.edu/uop_etds/3763.

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Cloud computing has greatly impacted the scientific community and the end users. By leveraging cloud computing, small research institutions and undergraduate colleges are able to alleviate costs and achieve research goals without purchasing and maintaining all the hardware and software. In addition, cloud computing allows researchers to access resources as their teams require and allows real-time collaboration with team members across the globe. Nowadays however, users are easily overwhelmed by the wide range of cloud servers and instances. Due to differences between the cloud server platform

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Durut, Matthieu. "Algorithmes de classification répartis sur le cloud." Phd thesis, Télécom ParisTech, 2012. http://tel.archives-ouvertes.fr/tel-00744768.

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Les thèmes de recherche abordés dans ce manuscrit ont trait à la parallélisation d'algorithmes de classiﬁcation non-supervisée (clustering) sur des plateformes de Cloud Computing. Le chapitre 2 propose un tour d'horizon de ces technologies. Nous y présentons d'une manière générale le Cloud Computing comme plateforme de calcul. Le chapitre 3 présente l'offre cloud de Microsoft : Windows Azure. Le chapitre suivant analyse certains enjeux techniques de la conception d'applications cloud et propose certains éléments d'architecture logicielle pour de telles applications. Le chapitre 5 propose une a

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Espinoza, Ladera Jhonatan Alfredo. "Análisis predictivo para el cálculo de la valoración del fondo acumulado del afiliado en el Sistema Privado de Pensiones usando técnicas y herramientas de machine learning." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/652592.

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El propósito del presente documento es el desarrollo del proyecto académico que tiene como objetivo plantear un modelo de análisis predictivo soportado por una plataforma tecnológica Cloud basada en técnicas de Machine Learning para pronosticar el fondo acumulado de un afiliado que aporte a un sistema privado de pensiones. Esto surge ante el desconocimiento sobre cómo se administran las finanzas personales en los fondos privados de pensiones representan un riesgo en el manejo del futuro de cada individuo. Esta ausencia de control en la administración del fondo de cada afiliado conlleva a no sa

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Abed, Amr Sayed Omar. "Securing Cloud Containers through Intrusion Detection and Remediation." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/87730.

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Linux containers are gaining increasing traction in both individual and industrial use. As these containers get integrated into mission-critical systems, real-time detection of malicious cyber attacks becomes a critical operational requirement. However, a little research has been conducted in this area. This research introduces an anomaly-based intrusion detection and remediation system for container-based clouds. The introduced system monitors system calls between the container and the host server to passively detect malfeasance against applications running in cloud containers. We sta

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Bruse, Andreas. "Exploiting Cloud Resources For Semantic Scene Understanding On Mobile Robots." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169116.

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Modern day mobile robots are constrained in the resources available to them. Only so much hardware can be fit onto the robotic frame and at the same time they are required to perform tasks that require lots of computational resources, access to massive amounts of data and the ability to share knowledge with other robots around it. This thesis explores the cloud robotics approach in which complex compu- tations can be offloaded to a cloud service which can have a huge amount of computational resources and access to massive data sets. The Robot Operat- ing System, ROS, is extended to allow the r

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Marini, Luca. "Analisi dei costi e benefici di Google Cloud Platform per algoritmi di Machine Learning." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21602/.

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Al giorno d’oggi sempre più aziende richiedono una maggiore flessibilità da poter applicare nell'esecuzione dei propri task computazionali. In questa tesi si vuole svolgere un'analisi dei costi e benefici che Google Cloud Platform (GCP), uno dei leader tra le suite di servizi di cloud computing, offre per l'esecuzione di algoritmi di machine learning. Vengono presentate diverse metodologie con le quali è possibile eseguire questi algoritmi sulla piattaforma in cloud di Google. In particolare, viene approfondito il tema della conteinerizzazione per creare un framework di automatizzazione che ri

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KOBEISSI, AHMAD. "VERSO IL CONCETTO DI SMART CITY: SOLUZIONI IOT EDGE-CLOUD." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/996248.

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Since the term was coined by Kevin Ashton in 1999, the Internet of Things (IoT) did not gain considerable popularity until 2010 where it became a strategic priority for governments, companies, and research centers. Despite this large-scale interest, IoT only reached mass markets in 2014 in the form of wearable devices and fitness trackers, home automation, industrial asset monitoring, and smart energy meters. The ‘things’ refer to sensors and other smart devices with the ability to monitor an object’s state, or even control it using actuators. Ashton envisaged that when such sensors and smart

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Shehu, Umar Galadima. "Novel optimization schemes for service composition in the cloud using learning automata-based matrix factorization." Thesis, University of Bedfordshire, 2015. http://hdl.handle.net/10547/610618.

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Service Oriented Computing (SOC) provides a framework for the realization of loosely couple service oriented applications (SOA). Web services are central to the concept of SOC. They possess several benefits which are useful to SOA e.g. encapsulation, loose coupling and reusability. Using web services, an application can embed its functionalities within the business process of other applications. This is made possible through web service composition. Web services are composed to provide more complex functions for a service consumer in the form of a value added composite service. Currently, rese

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Chen, Yinlin. "A High-quality Digital Library Supporting Computing Education: The Ensemble Approach." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78750.

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Educational Digital Libraries (DLs) are complex information systems which are designed to support individuals' information needs and information seeking behavior. To have a broad impact on the communities in education and to serve for a long period, DLs need to structure and organize the resources in a way that facilitates the dissemination and the reuse of resources. Such a digital library should meet defined quality dimensions in the 5S (Societies, Scenarios, Spaces, Structures, Streams) framework - including completeness, consistency, efficiency, extensibility, and reliability - to ensure t

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

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There are a variety of communication mediums or devices for interaction. Users hop from one medium to another frequently. Though the increase in the number of devices brings convenience, it also raises security concerns. Provision of platform to users is as much important as its security. In this dissertation we propose a security approach that captures user behavior for identifying malicious activities. System users exhibit certain behavioral patterns while utilizing the resources. User behaviors such as device location, accessing certain files in a server, using a designated or specific use

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Nääs, Starberg Filip, and Axel Rooth. "Predicting a business application's cloud server CPU utilization using the machine learning model LSTM." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301247.

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Cloud Computing sees increased adoption as companies seek to increase flexibility and reduce cost. Although the large cloud service providers employ a pay-as-you-go pricing model and enable customers to scale up and down quickly, there is still room for improvement. Workload in the form of CPU utilization often fluctuates which leads to unnecessary cost and environmental impact for companies. To help mitigate this issue, the aim of this paper is to predict future CPU utilization using a long short-term memory (LSTM) machine learning model. By predicting utilization up to 30 minutes into the fu

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Correia, Brum Rafaela. "Multi-FedLS : A Scheduler of Federated Learning Applications in a Multi-Cloud Environment." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS539.pdf.

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L'apprentissage fédéré (AF) est un nouveau domaine de l'apprentissage machine distribué où l'apprentissage garantit la confidentialité des données. Chaque client a accès uniquement à son propre ensemble de données local et privé. Cette approche est attrayante dans divers domaines du savoir car elle permet à différentes institutions de collaborer sans partager leurs données confidentielles. Comme la quantité de données requises pour la formation a considérablement augmenté ces dernières années, la plupart des institutions ne peuvent pas se permettre des centres de données physiques pour stocker

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Round, Kimberlee L. "Development and Evaluation of HawkLearn: A Next Generation Learning Management System." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/294.

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Cloud-based computing in higher education has the potential to impact institutions on a myriad of fronts, including technology governance, flexibility, financial, and intellectual property. As the demand for blended and online education increases, institutions are considering expedient approaches to implementing learning management systems (LMSs). Cloud-based e-learning models, such as personal learning environments and open learning networks, are reported to be among the next generation of LMSs. Saint Anselm College launched a cloud enhanced LMS, HawkLearn, to support several blended courses.

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Madjar, Nicole, and Filip Lindblom. "Machine Learning implementation for Stress-Detection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280897.

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This project is about trying to apply machine learning theories on a selection of data points in order to see if an improvement of current methodology within stress detection and measure selecting could be applicable for the company Linkura AB. Linkura AB is a medical technology company based in Linköping and handles among other things stress measuring for different companies employees, as well as health coaching for selecting measures. In this report we experiment with different methods and algorithms under the collective name of Unsupervised Learning, to identify visible patterns and behavio

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Cardoso, Antônio Luiz Mattos de Souza. "Construção e difusão colaborativa do conhecimento: uma experiência construtivista de educação em um ambiente virtual de aprendizagem." reponame:Repositório Institucional da UFBA, 2010. http://www.repositorio.ufba.br/ri/handle/ri/11123.

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302 f.<br>Submitted by Suelen Reis (suziy.ellen@gmail.com) on 2013-04-29T17:50:39Z No. of bitstreams: 1 Tese - Antonio Cardoso.pdf: 4362473 bytes, checksum: 36135e27a3f35c3350bdfd333feec8b1 (MD5)<br>Approved for entry into archive by Maria Auxiliadora Lopes(silopes@ufba.br) on 2013-05-17T18:40:35Z (GMT) No. of bitstreams: 1 Tese - Antonio Cardoso.pdf: 4362473 bytes, checksum: 36135e27a3f35c3350bdfd333feec8b1 (MD5)<br>Made available in DSpace on 2013-05-17T18:40:35Z (GMT). No. of bitstreams: 1 Tese - Antonio Cardoso.pdf: 4362473 bytes, checksum: 36135e27a3f35c3350bdfd333feec8b1 (MD5) Previous

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Alqallaf, Nadeyah. "Mathematical teachers' perception| Mobile learning and constructing 21st century collaborative cloud-computing environments in elementary public schools in the State of Kuwait." Thesis, University of Northern Colorado, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10113607.

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<p> The purpose of this study was to examine Kuwaiti mathematical elementary teachers’ perceptions about their ability to integrate M-learning (mobile learning) into their current teaching practices and the major barriers hindering teachers’ ability to create an M-learning environment. Furthermore, this study sought to understand teachers’ perceptions about their ability to create a collaborative cloud-computing learning environment that corresponds with the 21st century skills and possibly explain their readiness for future reformation of education in Kuwait. </p><p> Us

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Madi, wamba Gilles. "Combiner la programmation par contraintes et l’apprentissage machine pour construire un modèle éco-énergétique pour petits et moyens data centers." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0045/document.

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Au cours de la dernière décennie les technologies de cloud computing ont connu un essor considérable se traduisant par la montée en flèche de la consommation électrique des data center. L’ampleur du problème a motivé de nombreux travaux de recherche s’articulant autour de solutions de réduction statique ou dynamique de l’enveloppe globale de consommation électrique d’un data center. L’objectif de cette thèse est d’intégrer les sources d’énergie renouvelables dans les modèles d’optimisation dynamique d’énergie dans un data center. Pour cela nous utilisons la programmation par contraintes ainsi

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Sauvanaud, Carla. "Monitoring et détection d'anomalie par apprentissage dans les infrastructures virtualisées." Thesis, Toulouse, INSA, 2016. http://www.theses.fr/2016ISAT0043/document.

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Le cloud computing est un modèle de délivrance à la demande d’un ensemble de ressources informatiques distantes, partagées et configurables. Ces ressources, détenues par un fournisseur de service cloud, sont mutualisées grâce à la virtualisation de serveurs qu’elles composent et sont mises à disposition d’utilisateurs sous forme de services disponibles à la demande. Ces services peuvent être aussi variés que des applications, des plateformes de développement ou bien des infrastructures. Afin de répondre à leurs engagements de niveau de service auprès des utilisateurs, les fournisseurs de cloud

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Durut, Matthieu. "Algorithmes de classification répartis sur le cloud." Electronic Thesis or Diss., Paris, ENST, 2012. http://www.theses.fr/2012ENST0055.

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Les thèmes de recherche abordés dans ce manuscrit ont trait à la parallélisation d’algorithmes de classiﬁcation non-supervisée (clustering) sur des plateformes de Cloud Computing. Le chapitre 2 propose un tour d’horizon de ces technologies. Nous y présentons d’une manière générale le Cloud Computing comme plateforme de calcul. Le chapitre 3 présente l’offre cloud de Microsoft : Windows Azure. Le chapitre suivant analyse certains enjeux techniques de la conception d’applications cloud et propose certains éléments d’architecture logicielle pour de telles applications. Le chapitre 5 propose une a

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Yang, Shanhu. "An Adaptive Prognostic Methodology and System Framework for Engineering Systems under Dynamic Working Regimes." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1455209450.

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Xiong, Pengcheng. "Dynamic monitoring, modeling and management of performance and resources for applications in cloud." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45779.

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Emerging trends in Cloud computing bring numerous benefits, such as higher performance, fast and flexible provisioning of applications and capacities, lower infrastructure costs, and almost unlimited scalability. However, the increasing complexity of automated performance and resource management for applications in Cloud computing presents novel challenges that demand enhancement to classical control-based approaches. An important challenge that Cloud service providers often face is a resource sharing dilemma under workload variation. Cloud service providers pursue higher resource utilization

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Sorio, Enrico. "Machine Learning Techniques for Document Processing and Web Security." Doctoral thesis, Università degli studi di Trieste, 2013. http://hdl.handle.net/10077/8533.

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2011/2012<br>The task of extracting structured information from documents that are unstructured or whose structure is unknown is of uttermost importance in many application domains, e.g., office automation, knowledge management, machine-to-machine interactions. In practice, this information extraction task can be automated only to a very limited extent or subject to strong assumptions and constraints on the execution environment. In this thesis work I will present several novel application of machine learning techniques aimed at extending the scope and opportunities for automation of inform

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Chois, Pimentel Carlos Arturo, and Lino José Luis Portocarrero. "Propuesta de Transformación digital para la consulta de contenidos en microformas considerando la evaluación de procesos TI para una empresa del rubro de procesamiento y difusión de noticias." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/628206.

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El presente trabajo tiene como objetivo proponer una solución de Transformación Digital para una Entidad Estatal, del rubro de procesamiento y difusión de noticias, con el propósito de solucionar un problema de acceso y consulta de la amplia información histórica contenida en microformas, las cuales son necesitadas y requeridas por el Estado y la ciudadanía. El enfoque de la presente propuesta está en el análisis de la organización objetivo, identificando información respecto a su plan estratégico, objetivos estratégicos y procesos, dando énfasis a los procesos que componen la cadena de valor

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Chao-ChengChen and 陳昭成. "A Cloud Computing System for Learning Anatomy." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/aypgfa.

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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>107<br>Despite of having courses of the general anatomy experiments at the medical college, students who are in the medical related departments in Taiwan have limited access to the gross anatomy [1] experiments. However, medical students must learn well the human anatomy and apply it to their future career, which usually can be achieved through a long period of repeated practice. To address this issue, we developed an interactive anatomy learning system based on a cloud service that leverages the concept of e-Learning [2] in order to enable students to use a brows

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Chen, Chien Hung, and 陳建鴻. "A Mobile Cloud Computing Platform for Deep Learning." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/19456920967269832277.

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碩士<br>國立清華大學<br>資訊工程學系<br>104<br>Deep learning has become a powerful technology in image recognition, gaming, information retrieval, and many other areas that need intelligent data processing. However, huge amount of data and complex computations prevent deep learning from being practical in mobile applications. In this thesis, we proposed a mobile cloud computing system for deep learning. The architecture puts the training process and model repository in cloud platforms, and the recognition process and data gathering in mobile devices. The communication is carried out via Git protocol to ens

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Huang, Hsueh-O., and 黃雪娥. "Porting a Social Learning 2.0 Learning System into the Cloud Computing Environment." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/21774800831797496384.

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碩士<br>中原大學<br>資訊管理研究所<br>98<br>Traditional learning management system focus on managing users’ registration records and course information while keeping learning records of learners. The concept of social learning 2.0 is a integration of groups, networks, and collectives, indicating that learning systems should support collaborative and reflective learning, so that learners’ understanding of certain issue and intention to participate can be increased through knowledge retrieval and collaboration between/among peers. SL2LS integrates the concepts of social learning 2.0, enabling the learning me

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Lin, Yen-Cheng, and 林彥成. "Cloud Computing System for E-Learning Platform of Board Games." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/80156873891705247912.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>99<br>This thesis develops a cloud computing System for an E-learning platform of board games. This system is based on the desktop grid system developed by our laboratory and adds two additional functionalities. The first functionality is to support data storage. The second is to support Map-Reduce computing. We use GridGain and Windows Azure platforms to implement the cloud computing system.

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Tsai, Cheng-Chuan, and 蔡政銓. "Using cloud-computing techniques to develop the action learning environment." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/10785164512711383559.

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碩士<br>樹德科技大學<br>資訊工程系碩士班<br>102<br>The action learning environment for some professional courses is unable to provide effective information platform to professional learning users for practice. It is essential to establish a quality action learning platform. Being emerge of the cloud technology, at present; the manufacturers have actively promoted the cloud technical services environment and platform for users to use. The thesis by the Cloud to Device Messaging Framework（Push/Pull）to develop the Push/Pull Technology digital learning platform and made the assessment of the relevance of the

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