Academic literature on the topic 'IoT Cloud'

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Journal articles on the topic "IoT Cloud"

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Han, Jungsu, Sun Park, and JongWon Kim. "Dynamic OverCloud: Realizing Microservices-Based IoT-Cloud Service Composition over Multiple Clouds." Electronics 9, no. 6 (June 11, 2020): 969. http://dx.doi.org/10.3390/electronics9060969.

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With the expansion of cloud-leveraged Information and Communications Technology (ICT) convergence trend, cloud-native computing is starting to be the de-facto paradigm together with MSA(Microservices Architecture)-based service composition for agility and efficiency. Moreover, by bridging the Internet of Things (IoT) and cloud together, a variety of cloud applications are explosively emerging. As an example, the so-called IoT-Cloud services, which are cloud-leveraged inter-connected services with distributed IoT devices, dynamically utilize geographically-distributed multiple clouds since mobile IoT devices can selectively connect to the near-by cloud resources for low-latency and high-throughput connectivity. In comparison, most public cloud providers may cause vendor lock-in problems that limit the inter-operable service compositions. Thus, in this paper, we propose a new overlay approach to address the above limitations, denoted as Dynamic OverCloud, which is a specially-arranged razor-thin overlay layer that provides users with an inter-operable and visibility-supported environment for MSA-based IoT-Cloud service composition over the existing multiple clouds. Then, we design a software framework that dynamically builds the proposed concept. We also describe a detailed implementation of the software framework with workflows. Finally, we verify its feasibility by realizing a smart energy IoT-Cloud service with the suggested operation lifecycle.
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Mohammed Sadeeq, Mohammed, Nasiba M. Abdulkareem, Subhi R. M. Zeebaree, Dindar Mikaeel Ahmed, Ahmed Saifullah Sami, and Rizgar R. Zebari. "IoT and Cloud Computing Issues, Challenges and Opportunities: A Review." Qubahan Academic Journal 1, no. 2 (March 15, 2021): 1–7. http://dx.doi.org/10.48161/qaj.v1n2a36.

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With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The delivery of cloud computing is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this report, we research IoT and cloud computing and address cloud-compatible problems and computing techniques to promote the stable transition of IoT programs to the cloud.
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Yangui, Sami. "A Panorama of Cloud Platforms for IoT Applications Across Industries." Sensors 20, no. 9 (May 9, 2020): 2701. http://dx.doi.org/10.3390/s20092701.

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Internet of Things (IoT) applications can play a critical role in business and industry. Industrial IoT (IIoT) refers to the use of IoT technologies in manufacturing. Enabling IIoT applications in cloud environments requires the design of appropriate IIoT Platform as-a-Service (IIoT PaaS) to support and ease their provisioning (i.e., development, deployment and management). This paper critically reviews the IIoT PaaS architectures proposed so far in the relevant literature. It only surveys the architectures that are suitable for IIoT applications provisioning and it excludes regular IoT solutions from its scope. The evaluation is based on a set of well-defined architectural requirements. It also introduces and discusses the future challenges and the research directions. The critical review discusses the PaaS solutions that focus on the whole spectrum of IoT verticals and also the ones dealing with specific IoT verticals. Existing limitations are identified and hints are provided on how to tackle them. As critical research directions, the mechanisms that enable the secure provisioning, and IIoT PaaS interaction with virtualized IoT Infrastructure as-a-Service (IaaS) and fog computing layer are discussed.
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Hamann, Ulrich, and Matthias Reinwarth. "Cloud und IoT." Digitale Welt 2, no. 2 (March 7, 2018): 52–54. http://dx.doi.org/10.1007/s42354-018-0077-3.

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Chen, Fei, Duming Luo, Tao Xiang, Ping Chen, Junfeng Fan, and Hong-Linh Truong. "IoT Cloud Security Review." ACM Computing Surveys 54, no. 4 (May 2021): 1–36. http://dx.doi.org/10.1145/3447625.

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Recent years have seen the rapid development and integration of the Internet of Things (IoT) and cloud computing. The market is providing various consumer-oriented smart IoT devices; the mainstream cloud service providers are building their software stacks to support IoT services. With this emerging trend even growing, the security of such smart IoT cloud systems has drawn much research attention in recent years. To better understand the emerging consumer-oriented smart IoT cloud systems for practical engineers and new researchers, this article presents a review of the most recent research efforts on existing, real, already deployed consumer-oriented IoT cloud applications in the past five years using typical case studies. Specifically, we first present a general model for the IoT cloud ecosystem. Then, using the model, we review and summarize recent, representative research works on emerging smart IoT cloud system security using 10 detailed case studies, with the aim that the case studies together provide insights into the insecurity of current emerging IoT cloud systems. We further present a systematic approach to conduct a security analysis for IoT cloud systems. Based on the proposed security analysis approach, we review and suggest potential security risk mitigation methods to protect IoT cloud systems. We also discuss future research challenges for the IoT cloud security area.
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Rashid Abdulqadir, Hindreen, Subhi R. M. Zeebaree, Hanan M. Shukur, Mohammed Mohammed Sadeeq, Baraa Wasfi Salim, Azar Abid Salih, and Shakir Fattah Kak. "A Study of Moving from Cloud Computing to Fog Computing." Qubahan Academic Journal 1, no. 2 (April 27, 2021): 60–70. http://dx.doi.org/10.48161/qaj.v1n2a49.

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The exponential growth of the Internet of Things (IoT) technology poses various challenges to the classic centralized cloud computing paradigm, including high latency, limited capacity, and network failure. Cloud computing and Fog computing carry the cloud closer to IoT computers in order to overcome these problems. Cloud and Fog provide IoT processing and storage of IoT items locally instead of sending them to the cloud. Cloud and Fog provide quicker reactions and better efficiency in conjunction with the cloud. Cloud and fog computing should also be viewed as the safest approach to ensure that IoT delivers reliable and stable resources to multiple IoT customers. This article discusses the latest in cloud and Fog computing and their convergence with IoT by stressing deployment's advantages and complexities. It also concentrates on cloud and Fog design and new IoT technologies, enhanced by utilizing the cloud and Fog model. Finally, transparent topics are addressed, along with potential testing recommendations for cloud storage and Fog computing, and IoT.
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Ahmad, Aftab, Ravi Mukkamala, and Karthik Navuluri. "Privacy in IoT Cloud." Athens Journal of Τechnology & Engineering 5, no. 4 (November 27, 2018): 377–92. http://dx.doi.org/10.30958/ajte.5-4-4.

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Jeong, Yoon-Su, and Sung-Ho Sim. "Hierarchical Multipath Blockchain Based IoT Information Management Techniques for Efficient Distributed Processing of Intelligent IoT Information." Sensors 21, no. 6 (March 14, 2021): 2049. http://dx.doi.org/10.3390/s21062049.

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As cloud technology advances, devices such as IoT (Internet of Things) are being utilized in various areas ranging from transportation, manufacturing, energy, automation, space, defense, and healthcare. As the number of IoT devices increases, the safety of IoT information, which is vulnerable to cyber attacks, is emerging as an important area of interest in distributed cloud environments. However, integrity techniques are not guaranteed to easily identify the integrity threats and attacks on IoT information operating in the distributed cloud associated with IoT systems and CPS (Cyber-Physical System). In this paper, we propose a blockchain-based integrity verification technique in which large amounts of IoT information processed in distributed cloud environments can be guaranteed integrity in security threats related to IoT systems and CPS. The proposed technique aims to ensure the integrity of IoT information by linking information from IoT devices belonging to subgroups in distributed cloud environments to information from specific non-adjacent IoT devices and blockchain. This is because existing techniques rely on third-party organizations that the data owner can trust to verify the integrity of the data. The proposed technique identifies IoT information by connecting the paths of IoT pre- and subsequent blocks into block chains so that synchronization can be achieved between subgroups in distributed cloud environments. Furthermore, the proposed technique uses probabilistic similarity information between IoT information blocks to react flexibly to subgroups that constitute distributed clouds so that IoT information blocks are not exploited maliciously by third parties. As a result of performance evaluation, the proposed technique averaged 12.3% improvement in integrity processing time over existing techniques depending on blockchain size. Furthermore, the proposed technique has to hash the IoT information that constitutes a subgroup with probability-linked information, validating the integrity of large-capacity IoT information, resulting in an average of 8.8% lower overhead than existing techniques. In addition, the proposed technique has an average improvement of 14.3% in blockchain-based integrity verification accuracy over existing techniques, depending on the hash chain length.
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Hick, Lukas, Dirk Börner, and Henning Pagnia. "Cloud to Cloud Integration im IoT Umfeld." HMD Praxis der Wirtschaftsinformatik 56, no. 6 (November 1, 2019): 1204–19. http://dx.doi.org/10.1365/s40702-019-00565-y.

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Ahuja, Sanjay P., and Niharika Deval. "From Cloud Computing to Fog Computing." International Journal of Fog Computing 1, no. 1 (January 2018): 1–14. http://dx.doi.org/10.4018/ijfc.2018010101.

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This article describes how in recent years, Cloud Computing has emerged as a fundamental computing paradigm that has significantly changed the approach of enterprises as well as end users towards implementation of Internet technology. The key characteristics such as on-demand resource provision, scalability, rapid elasticity, higher flexibility, and significant cost savings have influenced enterprises of all sizes in the wide and successful adoption of Cloud Computing. Despite numerous advantages, Cloud Computing has its fair share of downsides as well. One of those major concerns is latency issues which has relevance to the Internet of Things (IoT). A new computing paradigm has been proposed by Cisco in early 2014 and termed 'Fog Computing'. Fog Computing otherwise known as Edge Computing is the integration of Cloud Computing and IoT. Being located in close proximity to the IoT devices, the Fog assists with latency requirements of IoT related applications. It also meets the data processing needs of IoT devices which are resource constrained by bringing computation, communication, control and storage closer to the end users. Clouds continue to offer support for data analytics. One can think of the IoT-Fog-Cloud as being part of a continuum. This article surveys the current literature on Fog Computing and provides a discussion on the background, details and architecture of Fog Computing, as well as the application areas of Fog Computing. The article concludes with some recommendations in the areas of future research.
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Dissertations / Theses on the topic "IoT Cloud"

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

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I dagens samhälle blir fler och fler enheter uppkopplade mot Internet vilket kan ge en annars begränsad hårdvara möjlighet att genomföra större beräkningar. Detta projekt avser att skapa ett system som hanterar en användares radarenheter i ett molnbaserat system. Systemet erbjuder även möjligheten att ladda upp användarens egna applikationer vilka använder data från radarenheten, körs på virtuella maskiner och vid behov har möjlighet att skicka notiser till användarens mobila applikationer. För att underlätta utveckling har systemet delats upp i tre delsystem. Dessa är radarenhet, molntjänst och mobilapplikation. Projektet resulterade i ett komplett system med en webbapplikation som erbjuder användaren möjlighet att registrera sina radarenheter, ladda upp källkod som kompileras och körs på en molntjänst samt möjlighet att skicka notiser till en mobilapplikation.
Todays age sees more and more devices connected to the internet providing otherwise quite limited hardware with the ability to perform more complex calculations. This project aims to create a system for managing a users radar devices using a cloud platform. The system also provides the ability for the user to upload their own custom applications which can make use of data provided by the radar device, run on virtual machines and if required have the ability to push notifications to the users mobile applications. To simplify the system development, it has been divided into three separate subsystems, specifically the radar device, the cloud service and the mobile application. The result of the project is a complete system with a web application which provides the user with the ability to register their radar device(s), upload source code which is compiled and run on the cloud platform and the ability to send push notices to a mobile application.
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Nompleggio, Pietro Antonio. "Computazione Embodied e Disembodied: Cloud-based IoT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11180/.

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La tesi esplora la co-esistenza di computazioni embodied e disembodied nei moderni sistemi software, adottando come caso di studio il recente trend che vede sempre più coesi e integrati sistemi per l'Internet of Things e sistemi Cloud-based. Si analizzano i principali modelli di comunicazione, protocolli di comunicazione e architetture situate. Inoltre si realizza una piattaforma IoT Middleware cloud-based per mostrare come la computazione possa essere distribuita lato embodied e disembodied.
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Coutinho, Daniel Filipe Raimundo. "Cloud-based system for IoT data acquisition." Master's thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/28975.

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IoT permite-nos trazer o mundo físico para o mundo virtual, dando o poder de o controlar e monitorizar. Isto tem encorajado um aumento no interesse em IoT, devido às múltiplas aplicações nos mais variados contextos. Ainda assim sistemas de IoT enfrentam desafios tais como o suporte de altos volume de conexões ou a baixa capacidade de computação face a algoritmos para segurança dos dados. O objectivo desta dissertação é criar um sistema de recolha de dados de sensor de qualidade do ar que resolva esses desafios usando tecnologias de estado de arte, dando preferência a ferramentas de código aberto. O sistema foi implementado em volta Apache Kafka, com Spring Boot e VerneMQ responsáveis por receber dados e PostgreSQL, com plugin Timescale, encarregue de os guardar. Um protótipo do sistema foi implementado usando contentores Docker, mas não foi possível organiza-los com Kubernetes; Abstract: Cloud-based system for IoT data acquisition The purpose of IoT is to bring the physical world into a digital one and allowing it to be controlled and monitored from a virtual standpoint. The interest in IoT has increased due to its many applications in various fields, but IoT systems still deal with challenges such as the support of a high volume of connections or the low processing capacity of devices faced with data security algorithms. The objective of this dissertation is to create a data collection for air quality sensors system, that solves those challenges based on state of the art technologies, giving preference to open-source tools. Implementation was done around Apache Kafka, with Spring Boot and VerneMQ receiving data, HMAC granting a level security on data transport and PostgreSQL with the plugin Timescale storing the data. A prototype of the system was implemented in Docker containers, but we were unable to orchestrate them through Kubernetes.
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Bakthavathsalu, Lalith Kumar. "Cloud native design of IoT baseband functions : Introduction to cloud native principles." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289171.

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The exponential growth of research and deployment of 5G networks has led to an increased interest in massive Machine Type Communications (mMTC), as we are on the quest to connect all devices. This can be attributed to the constant development of long-distance and low-powered Internet-of- Things (IoT) technologies, or, Low Power Wide Area Network (LPWAN) technologies such as Long-Range (LoRa) and Narrow Band- IoT (NB-IoT). These technologies are gaining prominence in the IoT domain as the number of LPWAN connected devices has doubled from 2018 to 2019. This increase in devices warrants a proportional number of gateways to push the data to the Internet for further analytics. The traditional LPWAN architectures do not provide dynamic scaling of resources or energy-efficient solutions. Thus, a Cloud-Native (CN) split architecture based on the functional characteristics of the components is a necessity. In this work, a software-based implementation of the LoRa stack on GNU Radio is designed and implemented using Software-Defined Radio (SDR). The LoRa gateway is implemented in software completely, replicating the functions of the hardware for communicating with any LoRa Network Server. Several experiments with different setups have been performed on the testbed to measure the resource utilization and packet delay of the LoRa Physical (PHY) and Medium Access Control (MAC) layers. Also, the testbed has been moved into Docker containers to emulate a cloud-based platform and make the transition faster. Higher throughput and lower delay (Improvement in the range of 1.3x - 6.7x) were recorded upon splitting the testbed into Radio Head (RH) and Edge containers. Finally, three potential functional split architectures including the gateway have been discussed while providing a fair trade-off between pooling gain and consumed bandwidth for a CN split architecture.
Den exponentiella tillväxten av forskning och distribution av 5G-nät har lett till ett ökat intresse för massive Machine Type Communicationsn (mMTC) eftersom vi är på jakt att ansluta alla enheter. Detta kan tillskrivas den ständiga utvecklingen av långdistans- och lågdrivna Internet-of-Things-teknologier (IoT) -teknologier, eller, Low Power Wide Area Network (LPWAN) tekniker som Long-Range (LoRa) och Narrow Band- IoT (NB-IoT). Dessa teknologier blir framträdande inom IoT-domänen eftersom antalet LPWAN-anslutna enheter har fördubblats från 2018 till 2019. Denna ökning av enheterna motiverar ett proportionellt antal portar för att driva data till Internet för ytterligare analys. De traditionella LPWAN-arkitekturerna ger inte dynamisk skalning av resurser eller energieffektiva lösningar. Således är en moln-infödd delad arkitektur baserad på funktionernas egenskaper hos komponenterna en nödvändighet. I detta arbete designas och implementeras en programvarubaserad implementering av LoRa-stacken på GNU Radio med hjälp av Software- Defined Radio (SDR). LoRa-gatewayen implementeras i mjukvara fullständigt, vilket replikerar maskinvarans funktioner för att kommunicera med någon LoRaNetwork Server. Flera experiment med olika inställningar har utförts på testbädden för att mäta resursutnyttjandet och paketfördröjningen för LoRa Physical (PHY) och Medium Access Control (MAC) -skikten. Testbädden har också flyttats in i Docker-behållare för att emulera en molnbaserad plattform och göra övergången snabbare. Högre genomströmning och lägre fördröjning (Förbättring inom intervallet 1,3x - 6,7x) registrerades vid uppdelning av testbädden i Radio Head (RH) och Edge containrar. Slutligen har tre potentiella funktionella splitarkitekturer inklusive gateway diskuterats samtidigt som det ger en rättvis avvägning mellan pooling av vinst och förbrukad bandbredd.
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Rinaldini, Fabrizio. "Comunicazione tra dispositivi IoT e Cloud tramite protocollo MQTT." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13199/.

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Panoramica sull'Internet delle Cose. Introduzione, studio e contestualizzazione del protocollo MQTT. Analisi di una comunicazione di tra dispositivi IoT e Cloud tramite protocollo MQTT. Ricerca su soluzioni IoT preconfigurate. Confronto tra MQTT e HTTP, con metodo Post.
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Yevsieiev, V., and A. Bolshakov. "Use of microcontrollers with cloud services for production needs." Thesis, Кременчуцький національний університет імені Михайла Остроградського, 2022. https://openarchive.nure.ua/handle/document/20420.

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Core areas of the Fourth Industrial Revolution include aspects such as cybersecurity, cloud computing, Internet of Things, Big Data/Analysys and M2M. Production, which is designed using such approaches, as a rule, is modular and fully programmatically controlled, which allows you to implement the adjustment of the environment, the collection and business analysis of data over long periods of time, as well as quick access to data from anywhere in the world.
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Sgarbi, Andrea. "Machine Cloud Connectivity: a robust communication architecture for Industrial IoT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Industry 4.0 springs from the fourth industrial revolution, which is bringing innovation to fully automated and interconnected industrial production. This movement is composed of macro areas to expand the technological horizon starting from the tools used to date. The use of data, computing power and connectivity are the fundamental concepts on which the study of this thesis is based and are declined in big data, open data, Internet of Things (IoT), machine-to-machine and cloud computing for the centralization of information and its storage. Once the data has been collected, it is necessary to derive value from it in order to obtain advantages from ”machine learning”, i.e. machines that improve their performance by ”learning” from the data collected and analyzed. The advent of the Internet of Things can be seen in all respects as the greatest technological revolution of recent years, which will bring a huge amount of information into the hands of users. The latter can offer countless advantages in daily life and in the diagnostics of the production process. Industrial IoT (IIoT) enables manufacturing organizations to create a communication path through the automation pyramid, obtaining a real data stream in order to improve the machine performances. From an information security point of view, the importance of the information transmitted should not be underestimated and this also concerns an important aspect of industry 4.0. Protocols and authentication systems are constantly updated to ensure the privacy and security the customer needs. Through this thesis project, the implementation requirements will be dealt with in order to study and analyze different vendor technologies and to construct a cloud architecture. The focus is concentrated on the cybersecurity and on the information losses avoidance in order to get a robust transfer.
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Hellbe, Anton, and Gustaf Bohlin. "Evaluating IoT cloud platforms in the context of smart buildings." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20027.

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Smarta byggnader är ett vanligt användningsområde för både Internet of Things (IoT)enheter och molntjänster. På senare tid har molntjänstleverantörer som Amazon, Googleoch Microsoft börjat erbjuda IoT-molnplattformar. Dessa består av en klass av tjänstersom utgör en bas för molnapplikationer som används av IoT-enheter. Idag finns det mångaolika leverantörer som tillhandahåller denna tjänsten och att välja en för en IoT-lösning ärsvårt. I denna rapport beskrivs utvecklingen av ett system som är vanligt förekommandei en smart byggnad. I denna rapport utvärderas IoT-molnplattformar för användninginom området smarta byggnader som en del av ett uppdrag från Sigma Lundinova. Förutvärderingen implementeras ett vanligt scenario i en smart byggnad som en prototyp medhjälp av två olika IoT-molnplattformar. Syftet med detta är att utvärdera och jämföra hurväl IoT-molnplattformarna stödjer utveckling av systemet beskrivet av scenariot. Genomatt implementera en prototyp insamlas underlag i form av kunskap och erfarenhet somanvänds i utvärderingen. Utvärderingen kan användas som ett hjälpmedel för att göradet lättare att välja en IoT-molnplattform när man utvecklar IoT-lösningar för smartabyggnader.
Smart buildings is a common application for both Internet of Things (IoT) devices andcloud services. Recently cloud service providers such as Amazon, Google and Microsofthave started to offer IoT cloud platforms which consist of a class of services that providea base for cloud applications utilized by IoT devices. However, there are many differentproviders of IoT cloud platforms and selecting one for an IoT solution for a smart buildingis difficult. In this thesis two IoT cloud platforms are evaluated in the context of smartbuildings as part of an assignment given by Sigma Lundinova. To evaluate the IoT cloudplatforms a common smart building scenario is realized by implementing a prototype usingtwo different IoT cloud platforms. The development process makes it possible to evaluatehow well the platforms support the development of the system that the scenario describes.The evaluation is based on information and experience from the process of developing thesystem using the IoT cloud platforms. The evaluation can be used as a guidance whenselecting IoT cloud platform for an IoT solution intended for a smart building.
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Laukka, Lucas, and Carl Fransson. "Cloud risk analysis using OCTAVE Allegro : Identifying and analysing risks of a cloud service." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176731.

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Cybersecurity is currently an important and relevant issue, as more and more industries are taking advantage of the accessibility of storing information online. To create a secure system one must know the potential risks and attacks on that system, making risk analysis a very potent tool. In this study, we performed such an analysis using the risk analysis method OCTAVE Allegro on a company providing a cloud-based service to find out what risks a cloud service provider might be exposed to, and the usefulness of said risk analysis method in this circumstance. We found that OCTAVE Allegro is suitable to use on smaller companies and applicable to cloud services, and the most severe risks identified were connected to leakage of client data with a consequence of damaging the company's reputation. Common areas of concern for these risks were third parties hacking the cloud server or other company systems to gain access to sensitive information. Such risks will likely be found at any company providing a cloud service that manages sensitive data, increasing the importance of risk analysis at these companies.
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Sääf, Alexander. "Cloud Services for Building the Modern Internet of Things : An Examination of IoT Cloud Service Providers." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162090.

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

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Al-Turjman, Fadi, ed. Trends in Cloud-based IoT. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40037-8.

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Verma, Jitendra Kumar, Deepak Saxena, and Vicente González-Prida, eds. IoT and Cloud Computing for Societal Good. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-73885-3.

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Krishnan, Saravanan, J. Bruce Ralphin Rose, N. R. Rajalakshmi, and Narayanan Prasanth. Cloud IoT Systems for Smart Agricultural Engineering. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003185413.

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Longo, Antonella, Marco Zappatore, Massimo Villari, Omer Rana, Dario Bruneo, Rajiv Ranjan, Maria Fazio, and Philippe Massonet, eds. Cloud Infrastructures, Services, and IoT Systems for Smart Cities. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67636-4.

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Kim, Haengkon, and Roger Lee, eds. Software Engineering in IoT, Big Data, Cloud and Mobile Computing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64773-5.

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Zhang, Yushu, Yong Xiang, and Leo Yu Zhang. Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2523-6.

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Dash, Sujata, Subhendu Kumar Pani, Ajith Abraham, and Yulan Liang, eds. Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75657-4.

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Workshop on Ion-Aerosol-Cloud Interactions (2001 Geneva, Switzerland). Workshop on Ion-Aerosol-Cloud Interactions: CERN, Geneva, Switzerland, 18-20 April 2001 : proceedings. Edited by Kirkby J and European Organization for Nuclear Research. Geneva, Switzerland: CERN, 2001.

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Ooley, Nathan. Beginning iOS Cloud and database development. [Berkeley, Calif.]: Apress, 2014.

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Ooley, Nathan, Nick Tichawa, and Brian Miller. Beginning iOS Cloud and Database Development. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-4114-0.

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Book chapters on the topic "IoT Cloud"

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Kapoor, Sakshi, and Surya Narayan Panda. "Integrating Cloud with IoT-Cloud IoT." In Real-Life Applications of the Internet of Things, 273–93. Boca Raton: Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003277460-15.

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Kurniawan, Agus. "Arduino IoT Cloud." In Beginning Arduino Nano 33 IoT, 131–55. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6446-1_5.

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Vuppalapati, Chandrasekar. "Cloud and IoT." In Building Enterprise IoT Applications, 393–99. First edition. | Boca Raton : CRC Press/Taylor & Francis Group, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9780429056437-11.

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Firouzi, Farshad, and Bahar Farahani. "Architecting IoT Cloud." In Intelligent Internet of Things, 173–241. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30367-9_4.

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Upadrista, Venkatesh. "IoT Cloud Platform." In IoT Standards with Blockchain, 121–41. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7271-8_7.

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Mahalle, Parikshit N., Ambritta P. Nancy, Gitanjali Rahul Shinde, and Arvind Vinayak Deshpande. "IoT–Cloud Convergence." In The Convergence of Internet of Things and Cloud for Smart Computing, 41–84. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003189091-3.

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Tyagi, Himani, and Rajendra Kumar. "Cloud Computing for IoT." In Internet of Things (IoT), 25–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37468-6_2.

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Jayashree, L. S., and G. Selvakumar. "Cloud Solutions for IoT." In Getting Started with Enterprise Internet of Things: Design Approaches and Software Architecture Models, 31–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30945-9_2.

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Choudharyor, Nilam, and Vivek Arya. "Salesforce IoT Cloud Platform." In Algorithms for Intelligent Systems, 301–9. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6307-6_31.

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Bell, Charles. "Introducing IoT for the Cloud." In Beginning IoT Projects, 729–76. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7234-3_17.

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Conference papers on the topic "IoT Cloud"

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Alipour, Navid, Mea Wang, and Diwakar Krishnamurthy. "Oasis: Performance Matching IoT System Emulation." In 2021 IEEE 14th International Conference on Cloud Computing (CLOUD). IEEE, 2021. http://dx.doi.org/10.1109/cloud53861.2021.00051.

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Fei Li, Michael Voegler, Markus Claessens, and Schahram Dustdar. "Efficient and Scalable IoT Service Delivery on Cloud." In 2013 IEEE 6th International Conference on Cloud Computing (CLOUD). IEEE, 2013. http://dx.doi.org/10.1109/cloud.2013.64.

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Celesti, Antonio, Maria Fazio, Maurizio Giacobbe, Antonio Puliafito, and Massimo Villari. "Characterizing Cloud Federation in IoT." In 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2016. http://dx.doi.org/10.1109/waina.2016.152.

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Ketel, Mohammed. "Fog-Cloud Services for IoT." In ACM SE '17: SouthEast Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3077286.3077314.

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Seung Woo Kum, JaeWon Moon, Taeboem Lim, and Jong Il Park. "A novel design of IoT cloud delegate framework to harmonize cloud-scale IoT services." In 2015 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2015. http://dx.doi.org/10.1109/icce.2015.7066399.

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Qarawlus, Haydar, Malte Hellmeier, Johannes Pieperbeck, Ronja Quensel, Steffen Biehs, and Marc Peschke. "Sovereign Data Exchange in Cloud-Connected IoT using International Data Spaces." In 2021 IEEE Cloud Summit (Cloud Summit). IEEE, 2021. http://dx.doi.org/10.1109/ieeecloudsummit52029.2021.00010.

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Parashar, Manish, Moustafa Abdelbaky, Mengsong Zou, Ali Reza Zamani, and Javier Diaz-Montes. "Realizing the Potential of IoT Using Software-Defined Ecosystems." In 2015 IEEE 8th International Conference on Cloud Computing (CLOUD). IEEE, 2015. http://dx.doi.org/10.1109/cloud.2015.169.

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Tran, Hieu, Son Nguyen, I.-Ling Yen, and Farokh Bastani. "Into Summarization Techniques for IoT Data Discovery Routing." In 2021 IEEE 14th International Conference on Cloud Computing (CLOUD). IEEE, 2021. http://dx.doi.org/10.1109/cloud53861.2021.00023.

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Tei, Kenji, and Levent Gurgen. "ClouT : Cloud of things for empowering the citizen clout in smart cities." In 2014 IEEE World Forum on Internet of Things (WF-IoT). IEEE, 2014. http://dx.doi.org/10.1109/wf-iot.2014.6803191.

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Bastos, D. "Cloud for IoT - a Survey of Technologies and Security features of Public Cloud IoT solutions." In Living in the Internet of Things (IoT 2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.0168.

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Reports on the topic "IoT Cloud"

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Azevedo, T., A. Friedman, R. Cohen, and J. Vay. Electron-Cloud Effects on Heavy-Ion Beams. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/15009823.

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Shyshkina, Mariya P. Сервісні моделі формування хмаро орієнтованого середовища вищого навчального закладу. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2449.

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The article is devoted to creating and development of the cloud based educational and scientific environment of higher education institutions, using modern approaches to the ICT infrastructure design, based on the different types of service models, including public, corporate or hybrid clouds. Object of the study: to conduct the theoretical analysis of the research trends of the cloud based higher education institution ICT infrastructure modeling in the context of the tendencies of the ICT development and standardization. Object of the study: the process of formation and development of the educational and research environment in the higher education institution. The purpose of the article: to reveal the current trends of the cloud-based service models of the learning environment design and implementation. The methods of the study: The analysis of scientific and educational literature on pro-research problems; domestic and foreign experience on the emerging ICT implementation in the learning process. Results: The main types of the service models of design and deploy the cloud-based infrastructure of the educational institution are revealed; the advantages and disadvantages of the cloud-based approach are considered; the promising ways of implementation are considered. Conclusions: there are promising ways of the learning environment cloud-based service models design and application, taking into consideration its preferences and disadvantages for the certain case study.
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Symonenko, Svitlana V., Viacheslav V. Osadchyi, Svitlana O. Sysoieva, Kateryna P. Osadcha, and Albert A. Azaryan. Cloud technologies for enhancing communication of IT-professionals. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3861.

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The paper deals with the urgent problem of enabling better communication of IT-specialists in their business and interpersonal interaction using information and communication technologies, including cloud technologies. It is emphasized, that effective communication is an integral part of the successful professional work of IT-professionals, but in recent years it has undergone significant transformations, which have been expressed in new forms and means of communication, its content changes, its complications and volume increases, the need to improve its accuracy, and the level of understanding for a wide range of people. Certain peculiarities of communication in the IT-environment have been discussed. It is noted that typical forms of communication in the IT-environment are synchronous and asynchronous ones. The authors insist that during their professional career IT-specialists communicate in the professional community from a variety of positions and common types of task formulation can be expressed through verbal or symbolic communication means. Due to the specifics of their professional activities, IT-professionals often need to communicate using synchronous communication (chats, video chats, audio chats, instant messaging) and asynchronous communication (email, forums, comments) tools, hence there is a demand to teach corresponding communication skills at universities. Certain practical examples of teaching communication skills using modern technologies are given. Advantages of cloud technologies for better communication within a company or an educational institution are presented. Microsoft Office 365 services, which can be successfully used to enable better communication and collaboration within a company or an educational institution are analyzed.
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Aziz U. I. Electron Clouds in the Relativistic Heavy Ion Collider. Office of Scientific and Technical Information (OSTI), February 2006. http://dx.doi.org/10.2172/1061819.

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Iriso U. and S. Peggs. Maps for Coupled Electron and Ion Clouds in Accelerators. Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/1061802.

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Iatsyshyn, Anna V., Valeriia O. Kovach, Yevhen O. Romanenko, and Andrii V. Iatsyshyn. Cloud services application ways for preparation of future PhD. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3248.

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Currently, it is important in Ukraine to harmonize cloud technologies application with European and world scientific initiatives. Need to modernize preparation of future PhDs is caused by challenges of new information, globalized society and digital transformation of all spheres of life, including education and science. The research was aimed to determine features of cloud services application in preparation of future PhDs. Concepts of “cloud computing”, “cloud technologies”, “cloud learning technologies”, “cloud services”, “cloud oriented environment” were analyzed. Experience of cloud technologies and their services application in educational and scientific space in researches of foreign and Ukrainian students was considered. Ukrainian experience in preparation of future PhD of various specialties with cloud services application was analyzed. It was emphasized that approaches improving to preparation of future PhDs based on cloud services application would increase their level of digital competence. It is recommended to include a separate course or module of specific discipline on work with cloud technologies and services during preparation of future PhDs. It is important to improve disciplines and tools content to support education process. It can be learning of disciplines using cloud technologies or services by future PhD’s. Also, cloud services application to support scientific and scientific-organizational activities will increase level of organization and implementation of scientific research. It is important to create cloud-oriented environment for preparation of future PhDs in higher education and research institutions. Making cloud-oriented educational and scientific environment should be based on principles of open education. It is recommended to use cloud-based platforms and services (G Suite for Education; Microsoft Office 365; specialized SaaS (CoCalc or other)).
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Popel, Maiia V., and Mariya P. Shyshkina. The areas of educational studies of the cloud-based learning systems. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3245.

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The article analyzes the current stage of educational studies of the cloud-based learning systems. The relationship between the notions of the cloud-based learning system and the cloud-based learning environment are investigated. It was found that the researchers paid most attention to the design of a cloud-based learning environment. However, in the process of a cloud-based environment design, the researchers consider a cloud-based system as a component within the cloud-based learning environment of as a stage in the process of design. It is shown that in the research literature there is no single interpretation of the concept of a cloud-based system for educational purposes. Still the number of basic approaches to the interpretation of the concept under investigation are revealed. The first approach is based on the understanding of the system, as a set of cloud services or cloud-based technologies. The second approach is to consider a separate cloud service as a cloud-based learning system. In this case, the cloud service tools should include such components that cover the content, the tools, the forms and the methods of learning. The structure of the cloud-based learning system within the interpretation of the latest works of Ukrainian researchers is considered.
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Vakaliuk, Tetiana A., Olha V. Korotun, and Serhiy O. Semerikov. The selection of cloud services for ER-diagrams construction in IT specialists databases teaching. CEUR Workshop Proceedings, June 2021. http://dx.doi.org/10.31812/123456789/4371.

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One of the main aspects of studying databases in higher education institutions by future IT specialists is database design and software product development. This, in turn, is the most important problem of the developer’s interaction with the customer. To facilitate the process of database design, ER-diagrams are used, which are based on the concepts of “Entity” and “Relationship”. An ER diagram allows you to present a database in the form of visual graphical objects that define a specific subject area. The article considers the available cloud services for the construction of ER-diagrams for learning databases of future IT specialists and their selection the method expert evaluation. For this purpose, the criteria and indicators for the selection of cloud services for the construction of ER-diagrams of databases by future information technology specialists have been determined. As a result, it was found that the cloud services Dbdesigner.net and Lucidchart are the most convenient to learn. It is determined that for a teacher of a higher education institution the use of cloud services is an opportunity to use licensed software in education without additional costs.
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Volikova, Maryna M., Tetiana S. Armash, Yuliia V. Yechkalo, and Vladimir I. Zaselskiy. Practical use of cloud services for organization of future specialists professional training. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3269.

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The article is devoted to the peculiarities of the practical use of cloud services for the organization of qualitative professional training of future specialists. It is established that in order to implement state policy, there is an essential need for using various ICT, in particular cloud services, which are not only economically acceptable in the new educational environment, but also a powerful tools of obtaining new knowledge, skills and abilities. The advantages and disadvantages of using cloud services in the educational process of higher education are substantiated; the examples discuss the methods of using cloud services in the process of studying fundamental disciplines. The object of the study is the professional training of students in higher education institutions. The subject of research is the process of organizing professional training of future specialists with the use of cloud services. To achieve the set goals, a set of general scientific (analysis, synthesis, comparison) and specific scientific (bibliographic, problem-based) was used. Observation and conversation manipulation allowed to highlight the advantages and disadvantages of using cloud services and draw conclusions from the problem under investigation. The foreign experience of using cloud services has been researched and the features of the application of traditional and distance technology training abroad have been determined. It describes the use of the blog as a media-educational technology during the advent of pedagogical practice. The methods of using cloud-based services on the example of creation of a distance course “Linear algebra and analytic geometry” are considered. The prospects of research, which consist in getting acquainted with cloud technologies of the humanitarian profile future specialists at the second higher education, are determined. It has been established that the practical application of cloud technologies in the educational process will promote more qualitative and progressive learning; the formation of a close interaction between the teacher and student; development of professional skills and abilities of independent work.
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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3865.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database management system, development of educational material from the database in electronic form, selection of cloud-based systems of distance learning, introduction of cloud-based systems of distance learning in the training of students’ databases, selection of CBE in database training (databases, forms, methods, tools), evaluative (criteria, indicators, levels of professional and practical competence of future IT specialists on the use of CBE in database training), effective (increased formation of the information and communication technologies of future IT specialists on the use of CBE in database training).
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