Готові списки джерел за темами / Cloud compute services

Добірка наукової літератури з теми "Cloud compute services"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Cloud compute services"

Choudhary, Anurag. "A walkthrough of Amazon Elastic Compute Cloud (Amazon EC2): A Review." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 93–97. http://dx.doi.org/10.22214/ijraset.2021.38764.

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Abstract: Cloud services are being provided by various giant corporations notably Amazon Web Services, Microsoft Azure, Google Cloud Platform, and others. In this scenario, we address the most prominent web service provider, which is Amazon Web Services, which comprises the Elastic Compute Cloud functionality. Amazon offers a comprehensive package of computing solutions to let businesses establish dedicated virtual clouds while maintaining complete configuration control over their working environment. An organization needs to interact with several other technologies; however, instead of installing the technologies, the company may just buy the technology available online as a service. Amazon's Elastic Compute Cloud Web service, delivers highly customizable computing capacity throughout the cloud, allowing developers to establish applications with high scalability. Explicitly put, an Elastic Compute Cloud is a virtual platform that replicates a physical server on which you may host your applications. Instead of acquiring your own hardware and connecting it to a network, Amazon provides you with almost endless virtual machines to deploy your applications while they control the hardware. This review will focus on the quick overview of the Amazon Web Services Elastic Compute Cloud which also containing the features, pricing, and challenges. Finally, unanswered obstacles, and future research directions in Amazon Web Services Elastic Compute Cloud, are addressed. Keywords: Cloud Computing, Cloud Service Provider, Amazon Web Services, Amazon Elastic Compute Cloud, AWS EC2

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Irfan, Muhammad, Zhu Hong, Nueraimaiti Aimaier, and Zhu Guo Li. "SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services." Advanced Materials Research 660 (February 2013): 196–201. http://dx.doi.org/10.4028/www.scientific.net/amr.660.196.

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Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.

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Himmat, Mubarak, Gada Algazoli, Nazar Hammam, and Ashraf Gasim Elsid Abdalla. "Review on the Current State of the Internet of Things and its Extension and its Challenges." European Journal of Information Technologies and Computer Science 2, no. 2 (April 15, 2022): 1–5. http://dx.doi.org/10.24018/compute.2022.2.2.58.

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This era witnessed the rapidly growing of internet technology, a huge amount of people all over the world using the internet and it applications, there are various ways and purposes for using the internet which contributed in so many fields, and one of these techniques which will be more increasing and usage is the future is the Internet of Things (IoT), which facilitate using of many embedded devices that help will be connected and controlled through the internet. The technology of the Internet of Things (IoT) relies on Cloud Computing. Cloud Computing provides a baseline that supports IoT and is built on the idea of allowing individuals to perform computing activities via internet-based services. This article presents a comprehensive survey on addresses the concerns, challenges, and existing state-of-the-art standards to emphasize and overcome most of the proposed technical solutions and it will deepen the importance of the IoT & The Internet of Everything (IoE) technology, the paper will cover and the domain of the internet of things and several technologies that widely used. The paper covered the architecture of the resulting Cloud-based IoT paradigm, as well as its new application scenarios, which will be discussed. Finally, new research directions and challenges are offered.

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Kapse, Prashant Shankar, Onkar Dhananjaya Swami, Dadaso Sopan Keskar, Ruturaj Avinash Kadam, and Dr S. N. Gujar. "StoreSim: Optimizing Information Leakage in Multi-Cloud Storage Services." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 1048–51. http://dx.doi.org/10.22214/ijraset.2022.42427.

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Abstract: Many schemes have been recently advanced for storing data on multiple clouds. Distributing data over different cloud storage providers (CSPs) automatically provides users with a certain degree of information leakage control, as no single point of attack can leak all a user’s information. However, unplanned distribution of data chunks can lead to high information disclosure even while using multiple clouds. In this paper, to address this problem, we present Store-Sim, an information leakage-aware storage system in multi cloud. Store-Sim aims to store syntactically similar data on the same cloud, thus minimizing the user’s information leakage across multiple clouds. We design an approximate algorithm to efficiently generate similarity- preserving signatures for data chunks based on Min-Hash and Bloom filters, and design a function to compute the information leakage based on these signatures. Next, we present an effective storage plan generation algorithm based on clustering for distributing data chunks with minimal information leakage across multiple clouds. Finally, we evaluated our scheme using two real datasets from Wikipedia and GitHub. We show that our scheme can reduce information leakage by up to 60-70 Percent. Keywords: Min-Hash, Bloom-Filter, Multi-Cloud, StoreSim, Data Leakage.

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Ahuja, Sanjay P., Emily Czarnecki, and Sean Willison. "Multi-Factor Performance Comparison of Amazon Web Services Elastic Compute Cluster and Google Cloud Platform Compute Engine." International Journal of Cloud Applications and Computing 10, no. 3 (July 2020): 1–16. http://dx.doi.org/10.4018/ijcac.2020070101.

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Cloud computing has rapidly become a viable competitor to on-premise infrastructure from both management and cost perspectives. This research provides insight into cluster computing performance and variability in cloud-provisioned infrastructure from two popular public cloud providers. A comparative examination of the two cloud platforms using synthetic benchmarks is provided. In this article, we compared the performance of Amazon Web Services Elastic Compute Cluster (EC2) to the Google Cloud Platform (GCP) Compute Engine using three benchmarks: STREAM, IOR, and NPB-EP. Experiments were conducted on clusters with increasing nodes from one to eight. We also performed experiments over the course of two weeks where benchmarks were run at similar times. The benchmarks provided performance metrics for bandwidth (STREAM), read and write performance (IOR), and operations per second (NPB-EP). We found that EC2 outperformed GCP for bandwidth. Both provided good scalability and reliability for bandwidth with GCP showing a slight deviation during the two-week trial. GCP outperformed EC2 in both the read and write tests (IOR) as well as the operations per second test. However, GCP was extremely variable during the read and write tests over the two-week trial. Overall, each platform excelled in different benchmarks and we found EC2 to be more reliable in general.

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TRUONG, HONG-LINH, SCHAHRAM DUSTDAR, and KAMAL BHATTACHARYA. "CONCEPTUALIZING AND PROGRAMMING HYBRID SERVICES IN THE CLOUD." International Journal of Cooperative Information Systems 22, no. 04 (December 2013): 1341003. http://dx.doi.org/10.1142/s0218843013410037.

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For solving complex problems, in many cases, software alone might not be sufficient and we need hybrid systems of software and humans in which humans not only direct the software performance but also perform computing and vice versa. Therefore, we advocate constructing "social computers" which combine software and human services. However, to date, human capabilities cannot be easily programmed into complex applications in a similar way like software capabilities. There is a lack of techniques to conceptualize and program human and software capabilities in a unified way. In this paper, we explore a new way to virtualize, provision and program human capabilities using cloud computing concepts and service delivery models. We propose novel methods for conceptualizing and modeling clouds of human-based services (HBS) and combine HBS with software-based services (SBS) to establish clouds of hybrid services. In our model, we present common APIs, similar to well-developed APIs for software services, to access individual and team-based compute units in clouds of HBS. Based on that, we propose a framework for utilizing SBS and HBS to solve complex problems. We present several programming primitives for hybrid services, also covering forming hybrid solutions consisting of software and humans. We illustrate our concepts via some examples of using our cloud APIs and existing cloud APIs for software.

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Roobini, M. S., Selvasurya Sampathkumar, Shaik Khadar Basha, and Anitha Ponraj. "Serverless Computing Using Amazon Web Services." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3581–85. http://dx.doi.org/10.1166/jctn.2020.9235.

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In the last decade cloud computing transformed the way in which we build applications. The boom in cloud computing helped to develop new software design and architecture. Helping the developers to focus more on the business logic than the infrastructure. FaaS (function as a service) compute model it gave developers to concentrate only on the application code and rest of the factors will be taken care by the cloud provider. Here we present a serverless architecture of a web application built using AWS services and provide detail analysis of lambda function and micro service software design implemented using these AWS services.

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Kupriyanov, Dmitriy O. "MATHEMATICAL MODELING OF REQUESTS FLOW TO CLOUD COMPUTE CLUSTER." T-Comm 14, no. 10 (2020): 39–44. http://dx.doi.org/10.36724/2072-8735-2020-14-10-39-44.

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Quality of service parameters estimation becomes even more valuable when using cloud compute services. Mathematical model of described cloud-deployed web application in terms of Processor Sharing (PS) policy for mono-service traffic type proposed in this research. This model has Poisson distribution of the incoming requests flow with intensity ?. Requests awaiting in queue, queue length is considered to be unlimited and all requests should be served. Request in this system is HTTP request with a special payload in JSON format. The size of this payload is different for each request but it lies in a narrow band of values (bytes or decades of bytes). A model of cloud compute cluster was built. Characteristics of relative serving efficiency and relative bandwidth of a single requests flow was calculated using this model for different amount of resource provided for processing of a single request. The dependency of these characteristics from cluster load coefficient is demonstrated in charts. Some conclusions on cloud cluster QoS parameters behavior after the change of input requests flow size. Proposed model helps estimating quality of service parameters and adopting the infrastructure to increased or decreased number of requests from customers and could be used for architecting, deploying and administrating web services.

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Biswas, Pijush, and Kailash Verma. "Compute and Services (CAS) optimized strategy for multi hybrid cloud deployment." International Journal of Computer & Organization Trends 10, no. 3 (June 25, 2020): 1–3. http://dx.doi.org/10.14445/22492593/ijcot-v10i3p301.

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Dr B Raghu, Dr V Khanaa, Niraja Jain,. "Probabilistic Model for Resource Demand Prediction in Cloud." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 1766–71. http://dx.doi.org/10.17762/turcomat.v12i6.3908.

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Dynamic cloud infrastructure provisioning is possible with the virtualization technology. Cost, agility and time to market are the key elements of the cloud services. Virtualization is the software layer responsible for interaction with multiple servers, bringing entire IT resources together and provide standardized Virtual compute centers that drives the entire infrastructure. The increased pooling of shared resources helps in improving self-provisioning and automation of service delivery. Probabilistic model proposed in this article is based on the hypothesis that the accurate resource demand predictions can benefit in improving the virtualization layer efficiency. The probabilistic method, uses the laws of combinatorics. The probability space gives an idea about both the partial certainty and randomness of the variable. The method is popular in theoretical computer science. The probabilistic models provide the predictions considering the randomness of the variables. In the cloud environment there are multiple factors dynamically affecting the resource demand needs. The resource demand has a certain degree of certainty but the randomness of requirements. This further leads to decrease in risk related to leveraging cloud services. It accelerates development and implementation of cloud services that overall improves the services pertaining to SLA.

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Більше джерел

Дисертації з теми "Cloud compute services"

Menzel, Michael [Verfasser]. "Comparative Assessment of Cloud Compute Services using Run-Time Meta-Data : A Framework for Performance Measurements and Virtual Machine Image Introspections / Michael Menzel." Berlin : epubli GmbH, 2015. http://d-nb.info/1072336030/34.

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

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

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Menzel, Michael [Verfasser], Stefan [Akademischer Betreuer] Tai, Odej [Akademischer Betreuer] Kao, and Alexander [Akademischer Betreuer] Mädche. "Comparative assessment of cloud compute services using run-time meta-data : a framework for performance measurements and virtual machine image introspections / Michael Menzel. Gutachter: Stefan Tai ; Odej Kao ; Alexander Mädche. Betreuer: Stefan Tai." Berlin : Technische Universität Berlin, 2015. http://d-nb.info/1075807352/34.

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Menzel, Michael Verfasser], Stefan [Akademischer Betreuer] Tai, Odej [Akademischer Betreuer] Kao, and Alexander [Akademischer Betreuer] [Mädche. "Comparative assessment of cloud compute services using run-time meta-data : a framework for performance measurements and virtual machine image introspections / Michael Menzel. Gutachter: Stefan Tai ; Odej Kao ; Alexander Mädche. Betreuer: Stefan Tai." Berlin : Technische Universität Berlin, 2015. http://nbn-resolving.de/urn:nbn:de:kobv:83-opus4-65637.

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Pawar, Pramod S. "Cloud broker based trust assessment of cloud service providers." Thesis, City University London, 2015. http://openaccess.city.ac.uk/13687/.

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Cloud computing is emerging as the future Internet technology due to its advantages such as sharing of IT resources, unlimited scalability and flexibility and high level of automation. Along the lines of rapid growth, the cloud computing technology also brings in concerns of security, trust and privacy of the applications and data that is hosted in the cloud environment. With large number of cloud service providers available, determining the providers that can be trusted for efficient operation of the service deployed in the provider’s environment is a key requirement for service consumers. In this thesis, we provide an approach to assess the trustworthiness of the cloud service providers. We propose a trust model that considers real-time cloud transactions to model the trustworthiness of the cloud service providers. The trust model uses the unique uncertainty model used in the representation of opinion. The Trustworthiness of a cloud service provider is modelled using opinion obtained from three different computations, namely (i) compliance of SLA (Service Level Agreement) parameters (ii) service provider satisfaction ratings and (iii) service provider behaviour. In addition to this the trust model is extended to encompass the essential Cloud characteristics, credibility for weighing the feedbacks and filtering mechanisms to filter the dubious feedback providers. The credibility function and the early filtering mechanisms in the extended trust model are shown to assist in the reduction of impact of malicious feedback providers.

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Aldawsari, B. M. A. "An energy-efficient multi-cloud service broker for green cloud computing environment." Thesis, Liverpool John Moores University, 2018. http://researchonline.ljmu.ac.uk/7954/.

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The heavy demands on cloud computing resources have led to a substantial growth in energy consumption of the data transferred between cloud computing parties (i.e., providers, datacentres, users, and services) and in datacentre’s services due to the increasing loads on these services. From one hand, routing and transferring large amounts of data into a datacentre located far from the user’s geographical location consume more energy than just processing and storing the same data on the cloud datacentre. On the other hand, when a cloud user submits a job (in the form of a set of functional and non-functional requirements) to a cloud service provider (aka, datacentre) via a cloud services broker; the broker becomes responsible to find the best-fit service to the user request based mainly on the user’s requirements and Quality of Service (QoS) (i.e., response time, latency). Hence, it becomes a high necessity to locate the lowest energy consumption route between the user and the designated datacentre; and the minimum possible number of most energy efficient services that satisfy the user request. In fact, finding the most energy-efficient route to the datacentre, and most energy efficient service(s) to the user are the biggest challenges of multi-cloud broker’s environment. This thesis presents and evaluates a novel multi-cloud broker solution that contains three innovative models and their associated algorithms. The first one is aimed at finding the most energy efficient route, among multiple possible routes, between the user and cloud datacentre. The second model is to find and provide the lowest possible number of most energy efficient services in order to minimise data exchange based on a bin-packing approach. The third model creates an energy-aware composition plan by integrating the most energy efficient services, in order to fulfil user requirements. The results demonstrated a favourable performance of these models in terms of selecting the most energy efficient route and reaching the least possible number of services for an optimum and energy efficient composition.

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Winberg, André, and Ramin Alberto Golrang. "Analytics as a Service : Analysis of services in Microsoft Azure." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-47655.

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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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Mu, Kehan. "Fault-Tolerant Cloud Services." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264216.

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Nowadays, due to the convenience of deployment, ease to scale up and cost savings, the application of cloud computing systems has spread throughout the factory, commercial and individual users. However, fault tolerance in cloud computing systems has always been an important topic due to the high failure rate caused by the sheer size of cloud computing systems. This thesis presents an implementation of a fault-tolerant system called "supervision system" as a fault-tolerant mechanism for cloud computing systems. We first proposed a supervisor-worker relation: a supervisor node is responsible for monitoring its child (worker or another supervisor), and the worker node which does the actual work periodically reset a timer in its supervisor. If the corresponding timer overflows, the supervisor marks it as a failure, and try to restore or restart a new instance of it. The system also supports a multi-watchdog mode, which uses more fine-grained watchdogs that group the threads in the worker and applies different strategies to the groups. Besides the local system, we also implemented a remote supervision system to ensure the safety of local root supervisors, by periodically saving its running state and uploading the image files to its remote supervisor. If an overflow occurs, the remote supervisor remotely calls the restore function on the local machine. Then the restore function gets the most recent image files from the remote supervisor and restores itself. In addition to the implementation details of the system, we designed several test cases and tested the speed of each system part. According to the results, we can conclude that the system works as we expected.
Idag används molnberäkningssystem över hela fabriken, kommersiella och enskilda användare på grund av enkel installation, enkel expansion och kostnadsbesparingar. Feltolerans i molnberäkningssystem har dock alltid varit ett viktigt ämne, eftersom den stora storleken på molnberäkningssystem har lett till höga felfrekvenser. Detta dokument introducerar implementeringen av ett feltolerant system som kallas ett "övervakat systemsom en feltolerant mekanism för molnberäkningssystem. Vi föreslår först ett förhållande mellan arbetsledare och arbetare: en handledare nod ansvarar för att övervaka sina barn (personal eller annan handledare), och arbetsnoden som utför det verkliga arbetet återställer periodvis timern i sin handledare. Om motsvarande timer går över, markerar handledaren den som misslyckad och försöker återuppta eller starta om sin nya instans. Systemet stöder också ett flermonitorläge som använder finare skärmar som grupperar trådar i arbetaren och tillämpar olika policyer för gruppen. Förutom det lokala systemet har vi implementerat ett fjärrövervakningssystem för att säkerställa den lokala rotadministratörens säkerhet genom att regelbundet spara körstatus och ladda upp bildfiler till fjärrmonitorn. Om ett överflöd inträffar kommer den fjärrhypervisaren att ringa fjärr återställningsfunktionen på den lokala maskinen. Återställningsfunktionen tar sedan den senaste bildfilen från fjärrkontrollen och återställer sig själv. Förutom systemets implementeringsdetaljer, designade vi också flera testfall och testade hastigheten för varje del av systemet. Baserat på resultaten kan vi dra slutsatsen att systemet fungerar som förväntat.

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Sajjad, Ali. "A secure and scalable communication framework for inter-cloud services." Thesis, City University London, 2015. http://openaccess.city.ac.uk/14415/.

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A lot of contemporary cloud computing platforms offer Infrastructure-as-a-Service provisioning model, which offers to deliver basic virtualized computing resources like storage, hardware, and networking as on-demand and dynamic services. However, a single cloud service provider does not have limitless resources to offer to its users, and increasingly users are demanding the features of extensibility and inter-operability with other cloud service providers. This has increased the complexity of the cloud ecosystem and resulted in the emergence of the concept of an Inter-Cloud environment where a cloud computing platform can use the infrastructure resources of other cloud computing platforms to offer a greater value and flexibility to its users. However, there are no common models or standards in existence that allows the users of the cloud service providers to provision even some basic services across multiple cloud service providers seamlessly, although admittedly it is not due to any inherent incompatibility or proprietary nature of the foundation technologies on which these cloud computing platforms are built. Therefore, there is a justified need of investigating models and frameworks which allow the users of the cloud computing technologies to benefit from the added values of the emerging Inter-Cloud environment. In this dissertation, we present a novel security model and protocols that aims to cover one of the most important gaps in a subsection of this field, that is, the problem domain of provisioning secure communication within the context of a multi-provider Inter-Cloud environment. Our model offers a secure communication framework that enables a user of multiple cloud service providers to provision a dynamic application-level secure virtual private network on top of the participating cloud service providers. We accomplish this by taking leverage of the scalability, robustness, and flexibility of peer-to-peer overlays and distributed hash tables, in addition to novel usage of applied cryptography techniques to design secure and efficient admission control and resource discovery protocols. The peer-to-peer approach helps us in eliminating the problems of manual configurations, key management, and peer churn that are encountered when setting up the secure communication channels dynamically, whereas the secure admission control and secure resource discovery protocols plug the security gaps that are commonly found in the peer-to-peer overlays. In addition to the design and architecture of our research contributions, we also present the details of a prototype implementation containing all of the elements of our research, as well as showcase our experimental results detailing the performance, scalability, and overheads of our approach, that have been carried out on actual (as opposed to simulated) multiple commercial and non-commercial cloud computing platforms. These results demonstrate that our architecture incurs minimal latency and throughput overheads for the Inter-Cloud VPN connections among the virtual machines of a service deployed on multiple cloud platforms, which are 5% and 10% respectively. Our results also show that our admission control scheme is approximately 82% more efficient and our secure resource discovery scheme is about 72% more efficient than a standard PKI-based (Public Key Infrastructure) scheme.

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Книги з теми "Cloud compute services"

Marcel, Kunze, Nimis Jens, and Tai Stefan, eds. Cloud Computing: Web-basierte dynamische IT-Services. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Blonskij, Joyce. OWN THE CLOUDS: The First Guide to Investing in Cloud Computing Companies. Gold Express, CA: Authority Publishing, 2012.

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Marten, van Sinderen, Shishkov Boris, and SpringerLink (Online service), eds. Cloud Computing and Services Science. New York, NY: Springer New York, 2012.

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Marcel, Kunze, Nimis Jens, Tai Stefan 1970-, and SpringerLink (Online service), eds. Cloud Computing: Web-Based Dynamic IT Services. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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M, Butler Joe, Theilmann Wolfgang, Yahyapour Ramin, and SpringerLink (Online service), eds. Service Level Agreements for Cloud Computing. New York, NY: Springer Science+Business Media, LLC, 2011.

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Linthicum, David S. Cloud computing and SOA convergence in your enterprise: A step-by-step guide. Upper Saddle River, NJ: Addison-Wesley, 2009.

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Cloud computing and SOA convergence in your enterprise: A step-by-step guide. Upper Saddle River, NJ: Addison-Wesley, 2010.

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Linthicum, David S. Cloud computing and SOA convergence in your enterprise: A step-by-step guide. Upper Saddle River, NJ: Addison-Wesley, 2010.

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Hendrik, Spaanenburg, ed. Cloud connectivity and embedded sensory systems. New York: Springer, 2010.

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Cloud enterprise architecture. Boca Raton, Fla: CRC Press, 2012.

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Частини книг з теми "Cloud compute services"

Klems, Markus, Jens Nimis, and Stefan Tai. "Do Clouds Compute? A Framework for Estimating the Value of Cloud Computing." In Designing E-Business Systems. Markets, Services, and Networks, 110–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01256-3_10.

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Datt, Aparna, Anita Goel, and Suresh Chand Gupta. "Comparing Infrastructure Monitoring with CloudStack Compute Services for Cloud Computing Systems." In Databases in Networked Information Systems, 195–212. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16313-0_14.

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Hachinger, Stephan, Martin Golasowski, Jan Martinovič, Mohamad Hayek, Rubén Jesús García-Hernández, Kateřina Slaninová, Marc Levrier, et al. "Leveraging High-Performance Computing and Cloud Computing with Unified Big-Data Workflows: The LEXIS Project." In Technologies and Applications for Big Data Value, 159–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_8.

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AbstractTraditional usage models of Supercomputing centres have been extended by High-Throughput Computing (HTC), High-Performance Data Analytics (HPDA) and Cloud Computing. The complexity of current compute platforms calls for solutions to simplify usage and conveniently orchestrate computing tasks. These enable also non-expert users to efficiently execute Big Data workflows. In this context, the LEXIS project (‘Large-scale EXecution for Industry and Society’, H2020 GA 825532, https://lexis-project.eu) sets up an orchestration platform for compute- and data-intensive workflows. Its main objective is to implement a front-end and interfaces/APIs for distributed data management and workflow orchestration. The platform uses an open-source Identity and Access Management solution and a custom billing system. The data management API allows data ingestion and staging between various infrastructures. The orchestration API allows execution of workflows specified in extended TOSCA. LEXIS uses innovative technologies like YORC and Alien4Cloud for orchestration or iRODS/EUDAT-B2SAFE for data management, accelerated by Burst Buffers. Three pilot use cases from Aeronautics Engineering, Earthquake/Tsunami Analysis, and Weather and Climate Prediction are used to test the services. On the road towards longer-term sustainability, we are expanding this user base and aiming at the immersion of more Supercomputing centres within the platform.

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Schulze, Ruediger. "Cloud Service Brokerage and Service Arbitrage for Container-Based Cloud Services." In Lecture Notes in Computer Science, 97–111. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94295-7_7.

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Surianarayanan, Chellammal, and Pethuru Raj Chelliah. "Cloud Service Brokerage." In Texts in Computer Science, 267–77. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13134-0_10.

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Fettke, Peter, and Wolfgang Reisig. "Modelling Service-Oriented Systems and Cloud Services with Heraklit." In Communications in Computer and Information Science, 77–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71906-7_7.

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Li, Ze-Nian, Mark S. Drew, and Jiangchuan Liu. "Cloud Computing for Multimedia Services." In Texts in Computer Science, 645–74. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05290-8_19.

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Li, Ze-Nian, Mark S. Drew, and Jiangchuan Liu. "Cloud Computing for Multimedia Services." In Texts in Computer Science, 671–703. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62124-7_18.

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Candra, Muhammad Z. C., Hong-Linh Truong, and Schahram Dustdar. "Provisioning Quality-Aware Social Compute Units in the Cloud." In Service-Oriented Computing, 313–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45005-1_22.

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Baumann, Felix, Julian Eichhoff, and Dieter Roller. "Collaborative Cloud Printing Service." In Lecture Notes in Computer Science, 77–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46771-9_10.

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Тези доповідей конференцій з теми "Cloud compute services"

Balashov, N., N. Kutovskiy, and N. Tsegelnik. "RESOURCE MANAGEMENT IN PRIVATE MULTI-SERVICE CLOUD ENVIRONMENTS." In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.84.50.001.

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The JINR cloud infrastructure hosts a number of cloud services to facilitate scientific workflows of individual researchers and research groups. Although batch processing systems are still the major compute power consumers of the cloud, new auxiliary cloud services and tools are being adopted by researchers and are gradually changing the landscape of the cloud environment. While such services, in general, are not so demanding in terms of computational capacity, they can have spikes of demand and can dynamically scale to keep the service availability at a reasonable level. Moreover, these services may need to compete for resources due to the limited capacity of the underlying infrastructure. This paper discusses how resource distribution can be managed in such a dynamic environment with the help of a cloud meta-scheduler.

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Comperchio, Daniel. "Energy Savings in Cloud Computing: Conventional Versus Cloud Energy Use." In ASME 2016 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/isps2016-9627.

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With the explosive growth of demand for cloud services in the last few years, providers are building more and larger data centers almost continuously. As the scale of the facilities increases, more emphasis is placed on homogenizing equipment, streamlining operations, and focusing intensely on driving higher levels of efficiency in both the compute infrastructure and physical power and cooling systems. For customers, this translates to lower costs for the services provided, but looking deeper uncovers a larger set of benefits. Beyond the savings associated with licensing, maintaining, and refreshing servers and storage equipment, companies looking at migrating to a cloud provider will see a tremendous operating savings by significantly reducing the energy use of their workloads.

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Kelley, Robert, Antara Debnath Antu, Anup Kumar, and Bin Xie. "Choosing the Right Compute Resources in the Cloud: An analysis of the compute services offered by Amazon, Microsoft and Google." In 2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2020. http://dx.doi.org/10.1109/cyberc49757.2020.00042.

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Jenkins, Robert. "Cloud Media Collaboration, Enter Stage Right, and… Action: Bringing Compute Processing to a Media Services Ecosystem in Public Clouds." In SMPTE Technical Conference. IEEE, 2012. http://dx.doi.org/10.5594/m001467.

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Carvalho Junior, Francisco Heron de, Allberson Bruno de Oliveira Dantas, and Claro Henrique Silva Sales. "Swirls: A Platform for Enabling Multicluster and Multicloud Execution of Parallel Programs." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/wscad.2021.18521.

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Swirls is a general purpose application for interactive building, deploying, and execution of message-passing parallel programs that address multicluster and multicloud requirements. It is implemented on HPC Shelf, a cloud-based platform for providing HPC services. Swirls enables the communication between MPI programs written in C#, C, C++, and Python across one or more clusters, either on-premise or cloud-based ones. At the current implementation status, The users of Swirls may use clusters formed by virtual machines over Amazon Elastic Compute Cloud (EC2) and Google Cloud Platform (GCP).

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Azlan, Mohammad Azerul, Abd Kadir Mahamad, and Sharifah Saon. "Face Recognition of Passenger for Bus Services." In Conference on Faculty Electrical and Electronic Engineering 2021/2. UTHM, 2021. http://dx.doi.org/10.30880/eeee.2021.02.01.007.

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Most university students are using the bus provided by the university's management to move from one place to another place. The analysis are required to improvise the quality of the of bus services such as the amount of passenger that using the bus and information of passengers such as gender. The objectives of this project are to develop face recognition system based on gender using Raspberry Pi 4 and Intel Neural Compute Stick 2 and to test and validate the performance of the developed system for face classification and passenger counting system. Also this system is able to store passenger information into Google Firebase Cloud with Internet of Things. This system is used Raspbian in Raspberry Pi 4 with the libraries that used for face classification and recognition such as OpenCV and OpenVINO. This project able to detect faces of the passengers soon as they ride the bus and determine gender of the passengers and count passengers according gender and the information of the passengers will stored in Google Firebase. There are some recommendation that need to be added in this project to improve efficiency of the system.

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Sadlier, Andreas, and Nazaad Baksh. "Real-Time-as-a-Service Increases Efficiency, Agility and Consistency." In IADC/SPE International Drilling Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/208790-ms.

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Abstract Oil and gas operators use data collected from well operations for real-time monitoring, performance analysis and remote operations. Service providers typically operate real-time data systems from local data centers. They manually provision capex-heavy IT infrastructure and applications for each operator and rig. This may lead to overcapacity and inconsistent performance operating at scale. We commissioned a public-cloud, real-time-as-a-service solution which increased performance and consistency of real-time data access for a Norwegian operator. It also improved the service provider's operating efficiency and ability to accelerate the pace of innovation. A distributed architecture reduces failure points and enables horizontal scaling. Cloud provides elastic scaling to provision the right amount of compute resources to meet demand. Open-source technologies lower maintenance cost and reduce the technical debt accumulated maintaining the proprietary incumbent system. Close collaboration between the operator and service company enabled successful commissioning on six rigs. Real-time data feeds were previously collected by six independent IT systems hosted in a regional data center. The live data streams were successfully transitioned during active drilling activities, without interruption to remote operations. Real-time performance increased by more than 83%. The operator also observed a significant improvement in service and data quality. During the transition period, minor updates were deployed with zero downtime and no impact to the operator. Shortly after rollout, the support team remediated a performance bottleneck in just minutes. Prior solutions would typically require procurement and configuration of network hardware, taking months. In contrast to proprietary software solutions, an open architecture facilitates easy integration of existing software investments. Application programming interfaces simplify the development and connectivity of new real-time applications. Finally, cloud-native solutions accelerate the pace of innovation. Access to cloud services like analytics platforms enable continual integration of digital capabilities with real-time data.

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Denisov, Evgeny Yurievich, and Irina Aleksandrovna Kalugina. "Towards Hardware OpenGL Support in Cloud Computing." In 31th International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/graphicon-2021-3027-166-171.

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Modern realistic computer graphics applications, such as physically accurate lighting simulation systems, require a lot of computer power for images generation. Usage of the resources of cloud computing platforms for such calculations allows to avoid additional expenses for purchase and maintenance of own computer farms. However often such simulation systems use OpenGL for 3D images display, for example during scene preparation and modification. Since cloud-based virtual machines had only software (that is, slow) OpenGL display support, it was not convenient for the users to work with their habitual computer graphics applications in such environments, and typical workflow was to prepare all data on local computer and then execute simulation in the cloud service (usually using distributed processing). Recently several cloud computer service providers started to suggest users the option of hardware (GPU-based) OpenGL support in their cloud virtual machines. This article is devoted to the investigation of hardware OpenGL display options, suggested by various providers of cloud computing services, and their comparison. Available types of hardware GPU were checked and compared, along with the conditions for their usage.

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"IEEE Computer Society Technical Committee on Services Computing Services Society." In 2017 IEEE 10th International Conference on Cloud Computing (CLOUD). IEEE, 2017. http://dx.doi.org/10.1109/cloud.2017.9.

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Zheng, Zhihao, Yao Zhang, Vinay Gurram, Jose Salazar Useche, Isabella Roth, and Yi Hu. "Best Practices in Designing and Implementing Cloud Authentication Schemes." In 7th International Conference on Advances in Computer Science and Information Technology (ACSTY 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110307.

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At present, the development and innovation in any business/engineering field are inseparable from the computer and network infrastructure that supports the core business. The world has been turning into an era of rapid development of information technology. Every year, there are more individuals and companies that start using cloud storages and other cloud services for computing and information storage. Therefore, the security of sensitive information in cloud becomes a very important challenge that needs to be addressed. The cloud authentication is a special form of authentication for today’s enterprise IT infrastructure. Cloud applications communicate with the LDAP server which could be an on-premises directory server or an identity management service running on cloud. Due to the complex nature of cloud authentication, an effective and fast authentication scheme is required for successful cloud applications. In this study, we designed several cloud authorization schemes to integrate an onpremises or cloud-based directory service with a cloud application. We also discussed the pros and cons of different approaches to illustrate the best practices on this topic.

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Звіти організацій з теми "Cloud compute services"

Markova, Oksana M., Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska, Pavlo P. Nechypurenko, and Vitaliy V. Tron. Implementation of cloud service models in training of future information technology specialists. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3270.

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Leading research directions are defined on the basis of self-analysis of the study results on the use of cloud technologies in training by employees of joint research laboratory “Сloud technologies in education” of Kryvyi Rih National University and Institute of Information Technology and Learning Aids of the NAES of Ukraine in 2009-2018: cloud learning technologies, cloud technologies of blended learning, cloud-oriented learning environments, cloud-oriented methodological systems of training, the provision of cloud-based educational services. The ways of implementation SaaS, PaaS, IaaS cloud services models which are appropriate to use in the process of studying the academic disciplines of the cycles of mathematical, natural science and professional and practical training of future specialists in information technology are shown, based on the example of software engineering, computer science and computer engineering. The most significant advantages of using cloud technologies in training of future information technology specialists are definite, namely, the possibility of using modern parallel programming tools as the basis of cloud technologies. Conclusions are drawn; the direction of further research is indicated: designing a cloud-oriented learning environment for future specialists in computer engineering, identifying trends in the development of cloud technologies in the professional training and retraining of information technology specialists, developing a methodology for building the research competencies of future software engineering specialists by using cloud technologies.

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Shyshkina, Mariya P. The use of the cloud services to support the math teachers training. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3897.

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The development of the information society and technological progress are significantly influenced by the learning tools. Therefore, to the variety of tools that could be used to support the study of any discipline new ones emerging lately are continuously being added. Along with the great deal of systems of computer mathematics (SCM), web-oriented versions of SCM mathematical applications and other math learning tools the cloud-based versions of mathematical software such as MapleNet, MATLAB web-server, WebMathematica and others are now being used. These tools accomplishment becomes the essential part of training mathematics teachers. Domestic and foreign experiences of using cloud services for forming professional competences of mathematics teachers are analyzed. The place of the CoCalc within the system of mathematical disciplines learning tools is investigated. The task of improving the math teachers’ ICT competence by means of cloud services use in the process of training is considered. Among the new forms of learning rising along with the cloud services dissemination are such as collaborative learning, inquiry-based learning, person-oriented learning. At the same time, the use of the appropriate cloud service in the study of some mathematical discipline improves the assimilation of the learning material and improves the knowledge acquisition process on most topics. The analysis of current research of Ukrainian scientists on the problem in question shows that the progress is underway as for further elaboration and implementation of new learning methods and techniques of using cloud services in the higher education institutions.

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Varina, Hanna B., Viacheslav V. Osadchyi, Kateryna P. Osadcha, Svetlana V. Shevchenko, and Svitlana H. Lytvynova. Peculiarities of cloud computing use in the process of the first-year students' adaptive potential development. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4453.

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Technologies based on cloud computing is one of the demanded and actively developing areas of the modern information world. Cloud computing refers to an innovative technology that allows you to combine IT resources of various hardware platforms into a single whole and provide the user with access to them via a local network or the global Internet. Cloud services from various providers offer users access to their resources via the Internet via free or shareware cloud applications, the hardware and software requirements of which do not imply that the user has high-performance and resource-consuming computers. Cloud technologies represent a new way of organizing the educational process and offers an alternative to traditional methods of organizing the educational process, creates an opportunity for personal learning, collective teaching, interactive classes, and the organization of psychological support. The scientific article is devoted to the problem of integrating cloud technologies not only in the process of training highly qualified specialists, but also in the formation of professionally important personality traits. The article describes the experience of introducing cloud technologies into the process of forming the adaptive potential of students in conditions of social constraints caused by the COVID-19 pandemic.

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Kholoshyn, Ihor V., Olga V. Bondarenko, Olena V. Hanchuk, and Ekaterina O. Shmeltser. Cloud ArcGIS Online as an innovative tool for developing geoinformation competence with future geography teachers. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3263.

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The article dwells upon the scientifically relevant problem of using cloud-based GIS-technologies when training future geography teachers (based on ArcGIS Online application). The authors outline the basic principles for implementing ArcGIS Online in the educational process (interdisciplinary integration, the sequence of individualization in training, communicability, distance education and regional studies), and provide an example of an interactive map created with the help of the specified cloud GIS, since this kind of map is the most popular a form of research by geography students. In the article it is noted that integration of ArcGIS Online into the educational process allows the teacher to follow a clear pedagogical strategy, taking into account possible variants of its use (demonstration, direct mastering of GIS in a computer class and independent work in an individual mode). Considering cloud GIS as a new stage in the development of geoinformational education, the authors emphasize their key benefits (round-the-clock access, work with GIS package in the cloud, the ability to use other maps as well as the creation of their own maps and web-applications) and disadvantages (monetization of services, underestimation of the GIS role in the curriculum of the higher school, the lack of Ukrainian content, etc.).

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Холошин, Ігор Віталійович, Ольга Володимирівна Бондаренко, Олена Вікторівна Ганчук, and Катерина Олегівна Шмельцер. Cloud ArcGIS Online as an innovative tool for developing geoinformation competence with future geography teachers. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/3258.

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Abstract. The article dwells upon the scientifically relevant problem of using cloud-based GIS-technologies when training future geography teachers (based on ArcGIS Online application). The authors outline the basic principles for implementing ArcGIS Online in the educational process (interdisciplinary integration, the sequence of individualization in training, communicability, distance education and regional studies), and provide an example of an interactive map created with the help of the specified cloud GIS, since this kind of map is the most popular a form of research by geography students. In the article it is noted that integration of ArcGIS Online into the educational process allows the teacher to follow a clear pedagogical strategy, taking into account possible variants of its use (demonstration, direct mastering of GIS in a computer class and independent work in an individual mode). Considering cloud GIS as a new stage in the development of geoinformational education, the authors emphasize their key benefits (round-the-clock access, work with GIS package in the cloud, the ability to use other maps as well as the creation of their own maps and webapplications) and disadvantages (monetization of services, underestimation of the GIS role in the curriculum of the higher school, the lack of Ukrainian content, etc.).

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Strutynska, Oksana V., Grygoriy M. Torbin, Mariia A. Umryk, and Roman M. Vernydub. Digitalization of the educational process for the training of the pre-service teachers. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4437.

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According to the Development Concept of the Digital Economy and Society in Ukraine, the priority of this area is to develop a substantial national policy on digitalization of education, as this is the key part of the education reform in Ukraine. For this reason, universities should firstly take into account the particularities of teaching the current generation of students and the needs of the digital society as a whole. This paper considers the process of transition from informatization to digitalization in society, implementation of digital support for the educational process in the university, development of the digital educational environment for the training university teachers, and proposes the digital tools for such an environment. The authors propose several ways to improve the development level of digitalization of the educational environment in the university. This is to take into account the needs of the digital society and the modern generation of students, provide a high level of the digital literacy formation of university graduates and support the development of a new digital security system of the modern university. Aiming to design the digital educational environment for increasing the of educators’ digital literacy level, the authors propose to develop and implement the following computer, multimedia and computer-based learning tools and equipment, which includes blended and distance learning classes, cloud technologies, tools of virtual and augmented reality, tools for gamification of the educational process, educational robotics, tools for learning 3D technologies, MOOCs.

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Proskura, Svitlana L., and Svitlana H. Lytvynova. The approaches to Web-based education of computer science bachelors in higher education institutions. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3892.

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The problem of organizing of Web-based education of bachelors, and the bachelors of computer science in particular, is relevant for higher education institutions. The IT industry puts forward new requirements for future IT professionals training. This, in its turn, requires the educational process modernization: content specification, updating of forms, methods and means of training to meet the demands of socio-economic development of the society in general and bachelors of computer science in particular. The article analyzes and clarifies the notion of Web-based education of bachelors; as well as a line of approaches, such as approaches to the organization of Web-based learning for A La Carte, Station Rotation, Lab Rotation, Individual Rotation, Flipped Learning scenario; the necessity of cloud computing and virtual classroom use as a component of Web-based learning is substantiated. It is established that with the advent of a large number of cloud-based services, augmented and virtual realities, new conditions are created for the development of skills to work with innovative systems. It is noted that the implementation of the approaches to the organization of student Web-based education is carried out on international level, in such projects as Erasmus+ “Curriculum for Blended Learning” and “Blended learning courses for teacher educators between Asia and Europe”. The article features the results of programming students survey on the use of Web-based technologies while learning, namely the results of a new approach to learning organization according to the formula – traditional (30%), distance (50%) and project (20%) training.

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Hlushak, Oksana M., Volodymyr V. Proshkin, and Oksana S. Lytvyn. Using the e-learning course “Analytic Geometry” in the process of training students majoring in Computer Science and Information Technology. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3268.

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As a result of literature analysis the expediency of free access of bachelors majoring in Computer Sciences and Information Technologies to modern information educational resources, in particular, e-learning courses in the process of studying mathematical disciplines is substantiated. It was established that the e-learning course is a complex of teaching materials and educational services created for the organization of individual and group training using information and communication technologies. Based on the outlined possibilities of applying the e-learning course, as well as its didactic functions, the structure of the certified e-learning course “Analytic Geometry” based on the Moodle platform was developed and described. Features of application of cloud-oriented resources are considered: Desmos, Geogebra, Wolfram|Alpha, Sage in the study of the discipline “Analytic Geometry”. The results of the pedagogical experiment on the basis of Borys Grinchenko Kyiv University and A. S. Makarenko Sumy State Pedagogical University are presented. The experiment was conducted to verify the effectiveness of the implementation of the e-learning course “Analytic Geometry”. Using the Pearson criterion it is proved that there are significant differences in the level of mathematical preparation of experimental and control group of students. The prospect of further scientific research is outlined through the effectiveness of the use of e-learning courses for the improvement of additional professional competences of students majoring in Computer Sciences and Information Technologies (specialization “Programming”, “Internet of Things”).

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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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Анотація:

An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).

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