Relevant bibliographies by topics / Data Analysis and Cloud Computing / Dissertations / Theses
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Dissertations / Theses on the topic 'Data Analysis and Cloud Computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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1

Owen, Anne M. "Widescale analysis of transcriptomics data using cloud computing methods." Thesis, University of Essex, 2016. http://repository.essex.ac.uk/16125/.

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This study explores the handling and analyzing of big data in the field of bioinformatics. The focus has been on improving the analysis of public domain data for Affymetrix GeneChips which are a widely used technology for measuring gene expression. Methods to determine the bias in gene expression due to G-stacks associated with runs of guanine in probes have been explored via the use of a grid and various types of cloud computing. An attempt has been made to find the best way of storing and analyzing big data used in bioinformatics. A grid and various types of cloud computing have been employe
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Jayapandian, Catherine Praveena. "Cloudwave: A Cloud Computing Framework for Multimodal Electrophysiological Big Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405516626.

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Flatt, Taylor. "CrowdCloud: Combining Crowdsourcing with Cloud Computing for SLO Driven Big Data Analysis." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2234.

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The evolution of structured data from simple rows and columns on a spreadsheet to more complex unstructured data such as tweets, videos, voice, and others, has resulted in a need for more adaptive analytical platforms. It is estimated that upwards of 80% of data on the Internet today is unstructured. There is a drastic need for crowdsourcing platforms to perform better in the wake of the tsunami of data. We investigated the employment of a monitoring service which would allow the system take corrective action in the event the results were trending in away from meeting the accuracy, budget, and
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Shand, Corinne Margaret. "Investigating data standardisation and modelling challenges to enable advanced power systems analysis." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/16362.

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As the power industry moves towards more active distribution networks there is an increased requirement for greater analysis and observability of the current state of the network. There are a number of challenges for utilities in realising this including the quality and accuracy of their network models; the lack of integration between network models and the large quantities of sensor data being collected; the security and communication challenges posed when installing large numbers of sophisticated sensors across distribution networks; and the exponential increase in computing power required t
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Pereira, Rosangela de Fátima. "A data-driven solution for root cause analysis in cloud computing environments." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-03032017-082237/.

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The failure analysis and resolution in cloud-computing environments are a a highly important issue, being their primary motivation the mitigation of the impact of such failures on applications hosted in these environments. Although there are advances in the case of immediate detection of failures, there is a lack of research in root cause analysis of failures in cloud computing. In this process, failures are tracked to analyze their causal factor. This practice allows cloud operators to act on a more effective process in preventing failures, resulting in the number of recurring failures reduct
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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 di
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Saker, Vanessa. "Automated feature synthesis on big data using cloud computing resources." Master's thesis, University of Cape Town, 2020. http://hdl.handle.net/11427/32452.

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The data analytics process has many time-consuming steps. Combining data that sits in a relational database warehouse into a single relation while aggregating important information in a meaningful way and preserving relationships across relations, is complex and time-consuming. This step is exceptionally important as many machine learning algorithms require a single file format as an input (e.g. supervised and unsupervised learning, feature representation and feature learning, etc.). An analyst is required to manually combine relations while generating new, more impactful information points fr
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Ribot, Stephane. "Adoption of Big Data And Cloud Computing Technologies for Large Scale Mobile Traffic Analysis." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE3049.

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L’émergence des technologies Big Data et Cloud computing pour répondre à l’accroissement constant de la complexité et de la diversité des données constituent un nouvel enjeu de taille pour les entreprises qui, désormais, doivent prendre en compte ce nouveau paradigme. Les opérateurs de services mobiles sont un exemple de sociétés qui cherchent à valoriser et monétiser les données collectées de leur utilisateurs. Cette recherche a pour objectif d’analyser ce nouvel enjeu qui allie d’une part l’explosion du nombre des données à analyser, et d’autre part, la constante émergence de nouvelles techn
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Romanazzi, Stefano. "Water Supply Network Management: Sensor Analysis using Google Cloud Dataflow." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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The growing field of IoT increases the amount of time series data produced every day. With such information overload it is necessary to promptly clean and process those information extracting meaningful knowledge and avoiding raw data storage. Nowadays cloud infrastructures allow to adopt this processing demand by providing new models for defining data-parallel processing pipelines, such as the Apache Beam unified model which evolved from Google Cloud Dataflow and MapReduce paradigm. The projects of this thesis have been implemented during a three-month internship at Injenia srl, and face th
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El, Sibai Rayane. "Sampling, qualification and analysis of data streams." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS170/document.

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Un système de surveillance environnementale collecte et analyse continuellement les flux de données générés par les capteurs environnementaux. L'objectif du processus de surveillance est de filtrer les informations utiles et fiables et d'inférer de nouvelles connaissances qui aident l'exploitant à prendre rapidement les bonnes décisions. L'ensemble de ce processus, de la collecte à l'analyse des données, soulève deux problèmes majeurs : le volume de données et la qualité des données. D'une part, le débit des flux de données générés n'a pas cessé d'augmenter sur les dernières années, engendrant
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Sobati, Moghadam Somayeh. "Contributions to Data Privacy in Cloud Data Warehouses." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE2020.

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Actuellement, les scénarios d’externalisation de données deviennent de plus en plus courants avec l’avènement de l’infonuagique. L’infonuagique attire les entreprises et les organisations en raison d’une grande variété d’avantages fonctionnels et économiques.De plus, l’infonuagique offre une haute disponibilité, le passage d’échelle et une reprise après panne efficace. L’un des services plus notables est la base de données en tant que service (Database-as-a-Service), où les particuliers et les organisations externalisent les données, le stockage et la gestion `a un fournisseur de services. Ces
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Chauhan, Maneesh. "Measurement and Analysis of Networking Performance in Virtualised Environments." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177327.

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Mobile cloud computing, having embraced the ideas like computation ooading, mandates a low latency, high speed network to satisfy the quality of service and usability assurances for mobile applications. Networking performance of clouds based on Xen and Vmware virtualisation solutions has been extensively studied by researchers, although, they have mostly been focused on network throughput and bandwidth metrics. This work focuses on the measurement and analysis of networking performance of VMs in a small, KVM based data centre, emphasising the role of virtualisation overheads in the Host-VM lat
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Maor, Amit. "Using a Data Warehouse as Part of a General Business Process Data Analysis System." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1383.

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Data analytics queries often involve aggregating over massive amounts of data, in order to detect trends in the data, make predictions about future data, and make business decisions as a result. As such, it is important that a database management system (DBMS) handling data analytics queries perform well when those queries involve massive amounts of data. A data warehouse is a DBMS which is designed specifically to handle data analytics queries. This thesis describes the data warehouse Amazon Redshift, and how it was used to design a data analysis system for Laserfiche. Laserfiche is a softwar
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Morabito, Andrea. "Utilizzo di Scala e Spark per l'esecuzione di programmi Data-Intensive in ambiente cloud." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14843/.

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Questo documento fornisice un introduzione al mondo dei big data e cerca di fornire una panoramica chiara e completa su un linguaggio di programmazione e un framework utile per la manipolazione di grandi dataset e, quindi,come essi sono in grado di interoperare: • Scala, rappresenta un linguaggio di programmazione basato su due paradigmi di programmazione: Object Oriented e Funzionale; • Spark, che può essere visto come un linguaggio per il calcolo distribuito e l’analisi di Big Data. Nel presente testo, dopo aver fornito un’introduzione al contesto nel Capitolo 1, vengono descritti i pri
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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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Zapata, Gianpierre, Javier Murga, Carlos Raymundo, Jose Alvarez, and Francisco Dominguez. "Predictive model based on sentiment analysis for peruvian smes in the sustainable tourist sector." SciTePress, 2017. http://hdl.handle.net/10757/656350.

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In the sustainable tourist sector today, there is a wide margin of loss in small and medium-sized enterprise (SMEs) because of a poor control in logistical expenses. In other words, acquired goods are note being sold, a scenario which is very common in tourism SMEs. These SMEs buy a number of travel packages to big companies and because of the lack of demand of said packages, they expire and they become an expense, not the investment it was meant to be. To solve this problem, we propose a Predictive model based on sentiment analysis of a social networks that will help the sales decision making
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Ambroz, Luca. "Evaluation of a cloud infrastructure for the CMS distributed data analysis in the top quark sector at the LHC." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7703/.

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Nella fisica delle particelle, onde poter effettuare analisi dati, è necessario disporre di una grande capacità di calcolo e di storage. LHC Computing Grid è una infrastruttura di calcolo su scala globale e al tempo stesso un insieme di servizi, sviluppati da una grande comunità di fisici e informatici, distribuita in centri di calcolo sparsi in tutto il mondo. Questa infrastruttura ha dimostrato il suo valore per quanto riguarda l'analisi dei dati raccolti durante il Run-1 di LHC, svolgendo un ruolo fondamentale nella scoperta del bosone di Higgs. Oggi il Cloud computing sta emergendo come
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Panneerselvam, John. "A prescriptive analytics approach for energy efficiency in datacentres." Thesis, University of Derby, 2018. http://hdl.handle.net/10545/622460.

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Given the evolution of Cloud Computing in recent years, users and clients adopting Cloud Computing for both personal and business needs have increased at an unprecedented scale. This has naturally led to the increased deployments and implementations of Cloud datacentres across the globe. As a consequence of this increasing adoption of Cloud Computing, Cloud datacentres are witnessed to be massive energy consumers and environmental polluters. Whilst the energy implications of Cloud datacentres are being addressed from various research perspectives, predicting the future trend and behaviours of
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Al-Odat, Zeyad Abdel-Hameed. "Analyses, Mitigation and Applications of Secure Hash Algorithms." Diss., North Dakota State University, 2020. https://hdl.handle.net/10365/32058.

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Cryptographic hash functions are one of the widely used cryptographic primitives with a purpose to ensure the integrity of the system or data. Hash functions are also utilized in conjunction with digital signatures to provide authentication and non-repudiation services. Secure Hash Algorithms are developed over time by the National Institute of Standards and Technology (NIST) for security, optimal performance, and robustness. The most known hash standards are SHA-1, SHA-2, and SHA-3. The secure hash algorithms are considered weak if security requirements have been broken. The main security a
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Wang, Chengwei. "Monitoring and analysis system for performance troubleshooting in data centers." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50411.

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It was not long ago. On Christmas Eve 2012, a war of troubleshooting began in Amazon data centers. It started at 12:24 PM, with an mistaken deletion of the state data of Amazon Elastic Load Balancing Service (ELB for short), which was not realized at that time. The mistake first led to a local issue that a small number of ELB service APIs were affected. In about six minutes, it evolved into a critical one that EC2 customers were significantly affected. One example was that Netflix, which was using hundreds of Amazon ELB services, was experiencing an extensive streaming service outage when many
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Attasena, Varunya. "Secret sharing approaches for secure data warehousing and on-line analysis in the cloud." Thesis, Lyon 2, 2015. http://www.theses.fr/2015LYO22014/document.

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Les systèmes d’information décisionnels dans le cloud Computing sont des solutions de plus en plus répandues. En effet, ces dernières offrent des capacités pour l’aide à la décision via l’élasticité des ressources pay-per-use du Cloud. Toutefois, les questions de sécurité des données demeurent une des principales préoccupations notamment lorsqu'il s’agit de traiter des données sensibles de l’entreprise. Beaucoup de questions de sécurité sont soulevées en terme de stockage, de protection, de disponibilité, d'intégrité, de sauvegarde et de récupération des données ainsi que des transferts des do
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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
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Kapitán, Lukáš. "Vliv vývojových trendů na řešení projektu BI." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150006.

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The aim of this these is to analyse the trends occurring in Business intelligence. It does examine, summarise and judge each of the trends from the point of their usability in the real world, their influence and modification of each phase of the implementation of Bussiness intelligence. It is clear that each of these trends has its positives and negatives which can influence the statements in the evaluation. These factors are taken into consideration and analysed as well. The advantages and disadvantages of the trends are occurring especially in the areas of economical demand and technical dif
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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 leve
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Fialová, Lenka. "Moderní cloudová řešení v podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241386.

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This diploma thesis deals with the use of the cloud in a particular company. The main objective is to select a system that enables sharing and synchronizing data between employees and to prepare a proposal to deploy the system with regard to specific needs of the analyzed company. As part of the work is also the situation analysis, opportunity study and risk analysis.
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Al-ou'n, Ashraf M. S. "VM Allocation in Cloud Datacenters Based on the Multi-Agent System. An Investigation into the Design and Response Time Analysis of a Multi-Agent-based Virtual Machine (VM) Allocation/Placement Policy in Cloud Datacenters." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/16067.

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Recent years have witnessed a surge in demand for infrastructure and services to cover high demands on processing big chunks of data and applications resulting in a mega Cloud Datacenter. A datacenter is of high complexity with increasing difficulties to identify, allocate efficiently and fast an appropriate host for the requested virtual machine (VM). Establishing a good awareness of all datacenter’s resources enables the allocation “placement” policies to make the best decision in reducing the time that is needed to allocate and create the VM(s) at the appropriate host(s). However, current a
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Kontargyris, Xenofon [Verfasser]. "IT Laws in the Era of Cloud-Computing : A Comparative Analysis between EU and US Law on the Case Study of Data Protection and Privacy / Xenofon Kontargyris." Baden-Baden : Nomos Verlagsgesellschaft mbH & Co. KG, 2018. http://d-nb.info/1175743518/34.

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Arres, Billel. "Optimisation des performances dans les entrepôts distribués avec Mapreduce : traitement des problèmes de partionnement et de distribution des données." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE2012.

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Dans ce travail de thèse, nous abordons les problèmes liés au partitionnement et à la distribution des grands volumes d’entrepôts de données distribués avec Mapreduce. Dans un premier temps, nous abordons le problème de la distribution des données. Dans ce cas, nous proposons une stratégie d’optimisation du placement des données, basée sur le principe de la colocalisation. L’objectif est d’optimiser les traitements lors de l’exécution des requêtes d’analyse à travers la définition d’un schéma de distribution intentionnelle des données permettant de réduire la quantité des données transférées e
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Asratyan, Albert. "Performance Analysis of Distributed Spatial Interpolation for Air Quality Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296339.

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Deteriorating air quality is a growing concern that has been linked to many health- related issues. Its monitoring is a good first step to understanding the problem. However, it is not always possible to collect air quality data from every location. Various data interpolation techniques are used to assist with populating sparse maps with more context, but many of these algorithms are computationally expensive. This work presents a three- step chain mail algorithm that uses kriging (without any modifications to the kriging algorithm itself) and achieves up to ×100 execution time improvement wit
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Sekanina, Kamil. "Posouzení informačního systému firmy a návrh změn." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-234435.

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This master’s deals with information system assessment of M8D s.r.o. and proposal for ICT modification. Describes the theory of information systems and on the basis of the analyzes are set out proposals to improve the current state of information system. This master’s thesis also includes the budget of ICT modification proposal.
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Jensen, Deron Eugene. "System-wide Performance Analysis for Virtualization." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1789.

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With the current trend in cloud computing and virtualization, more organizations are moving their systems from a physical host to a virtual server. Although this can significantly reduce hardware, power, and administration costs, it can increase the cost of analyzing performance problems. With virtualization, there is an initial performance overhead, and as more virtual machines are added to a physical host the interference increases between various guest machines. When this interference occurs, a virtualized guest application may not perform as expected. There is little or no information to t
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Ahlén, Victoria, and Sara Hartsö. "Digitaliserad revision : En studie om digitaliseringens påverkan på revisionen." Thesis, Södertörns högskola, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-44564.

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Background and research issue: Digitization has changed the conditions for how an effective audit can or should be carried out. Many researchers argue that the development and use of technologies affect the work of the auditor in the audit process. There are also studies that indicate that the application of technical solutions cuts to a greater extent in large agencies than in small agencies.  Purpose: The purpose of this study is to create an understanding of how digitalisation has changed the auditor's work during the audit process and to identify the differences between large and small aud
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Wang, Thomas. "Predictive vertical CPU autoscaling in Kubernetes based on time-series forecasting with Holt-Winters exponential smoothing and long short-term memory." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-294163.

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Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application’s run-time requirements, but only help the cloud infrastructure resource manager to map requested virtual resources to physical resources. If an application exceeds these values, it might be throttled or even terminated. Consequently, requested values are often overestimated, resulting in poor resource utilization in the cloud infrastructure. Autoscaling is a technique used to o
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Wang, Bing. "Search over Encrypted Data in Cloud Computing." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71466.

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Cloud computing which provides computation and storage resources in a pay-per-usage manner has emerged as the most popular computation model nowadays. Under the new paradigm, users are able to request computation resources dynamically in real-time to accommodate their workload requirements. The flexible resource allocation feature endows cloud computing services with the capability to offer affordable and efficient computation services. However, moving data and applications into the cloud exposes a privacy leakage risk of the user data. As the growing awareness of data privacy, more and more u
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Fenati, Andrea. "Data Locality in Serverless Computing." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20401/.

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Negli ultimi anni il serverless computing, un nuovo paradigma cloud, ha sperimentato una rapida crescita. Questo modello, chiamato anche Function as a Service (FaaS), permette l’esecuzione di funzioni stateless in risposta ad eventi asincroni. Il suo incremento di popolarità è derivato dalla semplicità di utilizzo. Lo sviluppatore si preoccupa solamente di scrivere il codice delle funzioni e di specificare i requisiti in termini di risorse all’interno della console del provider utilizzato. Tutto il resto, compreso il dimensionamento delle risorse, è gestito in modo automatico dal gestore cloud
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Emami, Khoonsari Payam. "Proteomics Studies of Subjects with Alzheimer’s Disease and Chronic Pain." Doctoral thesis, Uppsala universitet, Klinisk kemi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-331748.

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Alzheimer’s disease (AD) is a neurodegenerative disease and the major cause of dementia, affecting more than 50 million people worldwide. Chronic pain is long-lasting, persistent pain that affects more than 1.5 billion of the world population. Overlapping and heterogenous symptoms of AD and chronic pain conditions complicate their diagnosis, emphasizing the need for more specific biomarkers to improve the diagnosis and understand the disease mechanisms. To characterize disease pathology of AD, we measured the protein changes in the temporal neocortex region of the brain of AD subjects using ma
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Cao, Ning. "Secure and Reliable Data Outsourcing in Cloud Computing." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-dissertations/333.

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"The many advantages of cloud computing are increasingly attracting individuals and organizations to outsource their data from local to remote cloud servers. In addition to cloud infrastructure and platform providers, such as Amazon, Google, and Microsoft, more and more cloud application providers are emerging which are dedicated to offering more accessible and user friendly data storage services to cloud customers. It is a clear trend that cloud data outsourcing is becoming a pervasive service. Along with the widespread enthusiasm on cloud computing, however, concerns on data security with cl
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Khan, Afnan Ullah. "Data confidentiality and risk management in cloud computing." Thesis, University of York, 2014. http://etheses.whiterose.ac.uk/13677/.

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Cloud computing can enable an organisation to outsource computing resources to gain economic benefits. Cloud computing is transparent to both the programmers and the users; as a result, it introduces new challenges when compared with previous forms of distributed computing. Cloud computing enables its users to abstract away from low level configuration (configuring IP addresses and routers). It creates an illusion that this entire configuration is automated. This illusion is also true for security services, for instance automating security policies and access control in the Cloud, so that comp
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Maddineni, Venkata Sravan Kumar, and Shivashanker Ragi. "Security Techniques for protecting data in Cloud Computing." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3430.

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Context: From the past few years, there has been a rapid progress in Cloud Computing. With the increasing number of companies resorting to use resources in the Cloud, there is a necessity for protecting the data of various users using centralized resources. Some major challenges that are being faced by Cloud Computing are to secure, protect and process the data which is the property of the user. Aims and Objectives: The main aim of this research is to understand the security threats and identify the appropriate security techniques used to mitigate them in Cloud Computing. The main objectives o
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Gonçalves, André Miguel Augusto. "Estimating data divergence in cloud computing storage systems." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10852.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>Many internet services are provided through cloud computing infrastructures that are composed of multiple data centers. To provide high availability and low latency, data is replicated in machines in different data centers, which introduces the complexity of guaranteeing that clients view data consistently. Data stores often opt for a relaxed approach to replication, guaranteeing only eventual consistency, since it improves latency of operations. However, this may lead to replicas having different values for the same da
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Martins, Patrícia Alexandra Lagarto. "Master Data Management em ambiente de cloud computing." Master's thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10408.

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Mestrado em Gestão de Sistemas de Informação<br>A emergência dos Cloud services e do modelo de Cloud Computing que os suporta é incontornável na realidade económica atual, devendo permitir às Organizações a redução dos custos fixos relacionados com a disponibilização de serviços SI/TI. Em ambientes tecnológicos mistos, com aplicações desenvolvidas e mantidas in-premise e aplicações utilizadas no modelo Software as a Service (SaaS), a gestão dos dados torna-se um dos aspetos mais difíceis de gerir. O Master Data Management (MDM) é um método emergente de integração de dados que resulta da necess
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Paladi, Nicolae. "Trusted Computing and Secure Virtualization in Cloud Computing." Thesis, Security Lab, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24035.

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Large-scale deployment and use of cloud computing in industry is accompanied and in the same time hampered by concerns regarding protection of data handled by cloud computing providers. One of the consequences of moving data processing and storage off company premises is that organizations have less control over their infrastructure. As a result, cloud service (CS) clients must trust that the CS provider is able to protect their data and infrastructure from both external and internal attacks. Currently however, such trust can only rely on organizational processes declared by the CS provider an
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Dinter, Barbara, Lisa Frenzel, and Peter Gluchowski. "Tagungsband zum 20. Interuniversitären Doktorandenseminar Wirtschaftsinformatik." Technische Universität Chemnitz, 2017. https://monarch.qucosa.de/id/qucosa%3A20623.

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Das Interuniversitäre Doktorandenseminar Wirtschaftsinformatik ist eine regelmäßige Veranstaltung, in deren Rahmen Doktoranden der Universitäten Chemnitz, Dresden, Freiberg, Halle, Ilmenau, Jena und Leipzig ihr Promotionsprojekt präsentieren und sich den kritischen Fragen der anwesenden Professoren und Doktoranden aller beteiligten Universitäten stellen. Auf diese Weise erhalten die Promovierenden wertvolles Feedback zu Vorgehen, Methodik und inhaltlichen Aspekten ihrer Arbeit, welches sie für ihre Promotion nutzen können. Darüber hinaus bietet das Interuniversitäre Doktorandenseminar Wirtsch
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Arteaga, Clavijo Dulcardo Ariel. "Flash Caching for Cloud Computing Systems." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2496.

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As the size of cloud systems and the number of hosted virtual machines (VMs) rapidly grow, the scalability of shared VM storage systems becomes a serious issue. Client-side flash-based caching has the potential to improve the performance of cloud VM storage by employing flash storage available on the VM hosts to exploit the locality inherent in VM IOs. However, there are several challenges to the effective use of flash caching in cloud systems. First, cache configurations such as size, write policy, metadata persistency and RAID level have significant impacts on flash caching. Second, the typi
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Dlamini, Moses Thandokuhle. "Combating Data Leakage in the Cloud." Thesis, University of Pretoria, 2020. http://hdl.handle.net/2263/73245.

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The increasing number of reports on data leakage incidents increasingly erodes the already low consumer confidence in cloud services. Hence, some organisations are still hesitant to fully trust the cloud with their confidential data. Therefore, this study raises a critical and challenging research question: How can we restore the damaged consumer confidence and improve the uptake and security of cloud services? This study makes a plausible attempt at unpacking and answering the research question in order to holistically address the data leakage problem from three fronts, i.e. conflict-aware vi
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NASSER, RAFAEL BARBOSA. "A CLOUD COMPUTING PLATFORM FOR STORING GEOREFERENCED MOBILITY DATA." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28415@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A qualidade de vida nos grandes centros urbanos tem sido motivo de preocupação para governantes, empresários e para a população residente em geral. Os serviços de transporte público coletivo exercem papel central nessa discussão, uma vez que determinam, sobretudo para aquela camada da sociedade de menor poder aquisitivo, o tempo desperdiçado diariamente em seus deslocamentos. Na
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Kaza, Bhagavathi. "Performance Evaluation of Data Intensive Computing In The Cloud." UNF Digital Commons, 2013. http://digitalcommons.unf.edu/etd/450.

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Big data is a topic of active research in the cloud community. With increasing demand for data storage in the cloud, study of data-intensive applications is becoming a primary focus. Data-intensive applications involve high CPU usage for processing large volumes of data on the scale of terabytes or petabytes. While some research exists for the performance effect of data intensive applications in the cloud, none of the research compares the Amazon Elastic Compute Cloud (Amazon EC2) and Google Compute Engine (GCE) clouds using multiple benchmarks. This study performs extensive research on the Am
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Hou, Zhijun. "Efficient Data Access in Cloudlet-based Mobile Cloud Computing." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37982.

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The growth in mobile devices and applications has leveraged the emergence of mobile cloud computing, which allows the access to services at any place and extends mobile computing. Usually, the current mobile network consists of a restricting factor in supporting such access because, from a global perspective, cloud servers are distant from most mobile users, which introduces signi cant latency and results in considerably delays on applications in mobile devices. On the other hand, Cloudlet are usually on the edge of Mobile Networks and can serve content to mobile users with high availability a
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Ranabahu, Ajith Harshana. "Abstraction Driven Application and Data Portability in Cloud Computing." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1365271464.

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Gholami, Ali. "Security and Privacy of Sensitive Data in Cloud Computing." Doctoral thesis, KTH, Parallelldatorcentrum, PDC, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186141.

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Cloud computing offers the prospect of on-demand, elastic computing, provided as a utility service, and it is revolutionizing many domains of computing. Compared with earlier methods of processing data, cloud computing environments provide significant benefits, such as the availability of automated tools to assemble, connect, configure and reconfigure virtualized resources on demand. These make it much easier to meet organizational goals as organizations can easily deploy cloud services. However, the shift in paradigm that accompanies the adoption of cloud computing is increasingly giving rise
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