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Добірка наукової літератури з теми "AWS – Amazon Web Service"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "AWS – Amazon Web Service"

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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Bankar, Suyog. "Cloud Computing Using Amazon Web Services AWS." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 2156–57. http://dx.doi.org/10.31142/ijtsrd14583.

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Dirgantara, Dhimas, and Is Mardianto. "TEKNIK IDENTITY AND ACCESS MANAGEMENT PADA LAYANAN AMAZON WEB SERVICES." Computatio : Journal of Computer Science and Information Systems 3, no. 1 (June 18, 2019): 1. http://dx.doi.org/10.24912/computatio.v3i1.4270.

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Анотація:

In this era, traditional technologies such as having servers and various kinds of hardware have been abandoned by large companies, which are turning to cloud computing technology. This technology makes it easier for companies to run their business. Of the many cloud computing service providers, Amazon Web Service (AWS) is one of the first and biggest service providers. Problems that occur in the use of cloud computing technology is the provision of access rights in data management. AWS has a service to manage access control for each service, namely Identity and Access Management (IAM). This service seeks to prevent activities that lead to security breaches. The results obtained are in the form of groups that can access AWS services according to the role given. Pada era ini, teknologi tradisional seperti memiliki server dan berbagai macam hardware telah ditinggalkan oleh perusahaan besar, yang beralih pada teknologi cloud computing. Teknologi ini memudahkan perusahaan dalam menjalankan bisnisnya. Dari banyaknya penyedia layanan cloud computing, Amazon Web Service (AWS) adalah salah satu penyedia layanan pertama dan yang terbesar. Masalah-masalah yang terjadi dalam penggunaan teknologi cloud computing adalah pemberian hak akses dalam melakukan manajemen data. AWS memiliki suatu layanan untuk mengatur kendali akses pada setiap layanan yaitu Identity and Access Management (IAM). Layanan ini berupaya mencegah aktivitas yang mengarah pada pelanggaran keamanan. Hasil yang didapatkan berupa group yang dapat mengakses layanan AWS sesuai dengan role yang diberikan.

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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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Kewate, Neha. "A Review on AWS - Cloud Computing Technology." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 258–63. http://dx.doi.org/10.22214/ijraset.2022.39802.

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Abstract: Cloud computing is something simple we can define as maintaining data centers and data servers and also u can access technology services by computing power, storage, and database using cloud computing technology AWS(Amazon Web Services). It is an emerged model which is already popular among almost all enterprises. It provides us the concept of ondemand services where we are using and scaling cloud resources on demand and as per demand respectively. AWS Cloud computing is a cost-effective model. The major concern in this model is Security and Storage in the cloud. This is one of the major reasons many enterprises of choosing AWS cloud computing. This paper provides a review of security research in the field of cloud security and storage services of the AWS cloud platform. After security and storage, we have presented the working of AWS (Amazon Web Service) cloud computing. AWS is the most trusted provider of cloud computing which not only provides excellent cloud security but also provides excellent cloud storage services. The main aim of this paper is to make cloud computing storage and security a core operation and not an add-on operation. As per the increase in the Service provider and related companies, this AWS Cloud Platform plays a vital role in service industries by giving its best web services, so, therefore, choosing the cloud service providers wisely is the basic need of the industry. Therefore we are going to see how AWS fulfills all these specific needs. Keywords: Trusted Computing, AWS, Information-Centric Security, Cloud Storage, S3, EC2, Cloud Computing

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Al-Sayyed, Rizik M. H., Wadi’ A. Hijawi, Anwar M. Bashiti, Ibrahim AlJarah, Nadim Obeid, and Omar Y. A. Al-Adwan. "An Investigation of Microsoft Azure and Amazon Web Services from Users’ Perspectives." International Journal of Emerging Technologies in Learning (iJET) 14, no. 10 (May 30, 2019): 217. http://dx.doi.org/10.3991/ijet.v14i10.9902.

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Анотація:

Cloud computing is one of the paradigms that have undertaken to deliver the utility computing concept. It views computing as a utility similar to water and electricity. We aim in this paper to make an investigation of two highly efficacious Cloud platforms: Microsoft Azure (Azure) and Amazon Web Services (AWS) from users’ perspectives the point of view of users. We highlight and compare in depth the features of Azure and AWS from users’ perspectives. The features which we shall focus on include (1) Pricing, (2) Availability, (3) Confidentiality, (4) Secrecy, (5) Tier Account and (6) Service Level Agreement (SLA). The study shows that Azure is more appropriate when considering Pricing and Availability (Error Rate) while AWS is more appropriate when considering Tier account. Our user survey study and its statistical analysis agreed with the arguments made for each of the six comparisons factors.

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Niranjanamurthy, M., M. P. Amulya, N. M. Niveditha, and P. Dayananda. "Creating a Custom Virtual Private Cloud and Launch an Elastic Compute Cloud (EC2) Instance in Your Virtual Private Cloud." Journal of Computational and Theoretical Nanoscience 17, no. 9 (July 1, 2020): 4509–14. http://dx.doi.org/10.1166/jctn.2020.9106.

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Cloud Computing is regarded to as putting away and getting to data over the web. The hard disk of your PC doesn’t hold this data. In Cloud computing, you can get to information from a remote server. Amazon Web Services (AWS) enables adaptable, solid, versatile, simple to-utilize and practical Cloud computing arrangements. AWS is an extensive, simple to utilize processing stage offered Amazon. A virtual private cloud (VPC) is devoted to the AWS account which is in the AWS cloud that acts coherently detached with different virtual systems. Amazon EC2 is a secure web administration which allows register with the modifiable limit in the cloud .In this work, we are giving route subtleties of Creating a custom VPC and dispatch an EC2 Instance in your VPC.

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Бабак, И. Н., та A. A. Микитенко. "АНАЛИЗ МЕХАНИЗМОВ ОБЕСПЕЧЕНИЯ БЕЗОПАСНОСТИ ИНФОРМАЦИИ В ОБЛАКЕ AMAZON WEB SERVICES (AWS)". Open Information and Computer Integrated Technologies, № 81 (16 листопада 2018): 110–15. http://dx.doi.org/10.32620/oikit.2018.81.12.

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Advantages and disadvantages of using cloud technologies in companies are considered. The programmatic mechanisms for protecting data and users’ resources from an unauthorized access that are given by an Amazon Web Services (AWS) cloud service provider are analyzed. The basic vulnerabilities which can be present even when effective programmatic methods for cloud resources safety exist are analyzed. Such problems as obsolescence of the access keys, open ports and untuned safety rules, presence of resources which are not in use in a cloud are highlighted. In the article approaches for increasing data protection strength and information security in the AWS cloud are proposed. Development of the framework is proposed, the main functions of this framework is the following: scanning and removing outdated access keys, open ports, resources which are not in use and vulnerable configurations of protection mechanisms in a cloud. For ease of use of the framework, it is supposed to develop scripts for automating the process of its deployment.

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Ratkov, Aleksandar. "DIZAJN SERVERLESS WEB APLIKACIJA NA AMAZON PLATFORMI." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, no. 11 (November 3, 2019): 2009–11. http://dx.doi.org/10.24867/05be16ratkov.

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Park, Se-Joon, Yong-Joon Lee, and Won-Hyung Park. "Configuration Method of AWS Security Architecture That Is Applicable to the Cloud Lifecycle for Sustainable Social Network." Security and Communication Networks 2022 (January 12, 2022): 1–12. http://dx.doi.org/10.1155/2022/3686423.

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Анотація:

Recently, due to the many features and advantages of cloud computing, “cloud service” is being introduced to countless industries around the world at an unbelievably rapid pace. However, with the rapid increase in the introduction of cloud computing services, security vulnerabilities are increasing and the risk of technology leakage from cloud computing services is also expected to increase in social network service. Therefore, this study will propose an AWS-based (Amazon Web Services) security architecture configuration method that can be applied for the entire life cycle (planning, establishment, and operation) of cloud services for better security in AWS Cloud Services, which is the most used cloud service in the world. The proposed AWS security guide consists of five different areas, Security Solution Selection Guide, Personal Information Safeguard Guide, Security Architecture Design Guide, Security Configuration Guide, and Operational Security Checklist, for a safe social network. The AWS Security Architecture has been designed with three reference models: Standard Security Architecture, Basic Security Architecture, and Essential Security Architecture. The AWS Security Guide and AWS Security Architecture proposed in this paper are expected to help many businesses and institutions that are hoping to establish and operate a safe and reliable AWS cloud system in the social network environment.

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Більше джерел

Дисертації з теми "AWS – Amazon Web Service"

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

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

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

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

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

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

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Järvelä, Andreas, and Sebastian Lindmark. "Evaluation and comparison of a RabbitMQ broker solution on Amazon Web Services and Microsoft Azure." Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158242.

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In this thesis, a scalable, highly available and reactive RabbitMQ cluster is implemented on Amazon Web Services (AWS) and Microsoft Azure. An alternative solution was created on AWS using the CloudFormation service. These solutions are performance tested using the RabbitMQ PerfTest tool by simulating high loads with varied parameters. The test results are used to analyze the throughput and price-performance ratio for a chosen set of instances on the respective cloud platforms. How performance changes between instance family types and cloud platforms is tested and discussed. Additional conclusions are presented regarding the general performance differences in infrastructure between AWS and Microsoft Azure.

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

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

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

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

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

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

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Englund, Carl. "Evaluation of cloud-based infrastructures for scalable applications." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139935.

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Анотація:

The usage of cloud computing in order to move away from local servers and infrastructure have grown enormously the last decade. The ability to quickly scale capacity of servers and their resources at once when needed is something that can both be a price saver for companies and help them deliver high end products that will function correctly at all times even under heavy load to their customers. To meet todays challenges, one of the strategic directions of Attentec, a software company located in Linköping, is to examine the world of cloud computing in order to deliver robust and scalable applications to their customers. This thesis investigates the usage of cloud services in order to deploy scalable applications which can adapt to usage peaks within minutes.

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

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

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

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

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

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

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Книги з теми "AWS – Amazon Web Service"

Beach, Brian. Pro PowerShell for Amazon Web Services: DevOps for the AWS Cloud. [Berkeley, Calif.]: Apress, 2014.

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AWS For Admins For Dummies. For Dummies, 2016.

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Mishra, Abhishek. Amazon Web Services for Mobile Developers: Building Apps with AWS. Wiley & Sons, Incorporated, John, 2017.

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Baron, Stephen. Aws: The Complete Beginner's Guide to Mastering Amazon Web Services. Independently Published, 2020.

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Ryan, Mike. AWS System Administration: Best Practices for Sysadmins in the Amazon Cloud. O'Reilly Media, 2018.

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AWS for developers for dummies. 2017.

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Learning Amazon Web Services: A Hands-On Guide to the Fundamentals of AWS Cloud. Addison Wesley, 2019.

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Cloud, Jeffrey. Aws: The Ultimate Amazon Web Services Guide from Beginners to Advanced. Independently Published, 2020.

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Baker, Xavier. Aws: A Complete Guide for Beginners to Learn Amazon Web Services. Independently Published, 2020.

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Wall, David, and Catherine Vacher. Genomics in the AWS Cloud: Performing Genome Analysis Using Amazon Web Services. Wiley & Sons, Incorporated, John, 2019.

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Частини книг з теми "AWS – Amazon Web Service"

Beach, Brian, Steven Armentrout, Rodney Bozo, and Emmanuel Tsouris. "AWS Directory Service." In Pro PowerShell for Amazon Web Services, 301–44. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4850-8_12.

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Singh, Himanshu. "Security in Amazon Web Services." In Practical Machine Learning with AWS, 45–62. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6222-1_3.

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Beach, Brian, Steven Armentrout, Rodney Bozo, and Emmanuel Tsouris. "AWS Architecture Overview." In Pro PowerShell for Amazon Web Services, 1–8. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4850-8_1.

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Beach, Brian. "AWS Architecture Overview." In Pro Powershell for Amazon Web Services, 1–6. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6452-1_1.

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Shackelford, Adam. "Working with AWS OpsWorks." In Beginning Amazon Web Services with Node.js, 31–59. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0653-9_2.

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Olaoye, Abdullahi. "DevOps on Amazon Web Services (AWS)." In Beginning DevOps on AWS for iOS Development, 45–83. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8023-2_3.

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Nadon, Jason. "AWS Enterprise Applications." In Website Hosting and Migration with Amazon Web Services, 235–49. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2589-9_19.

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Nadon, Jason. "Database Services in AWS." In Website Hosting and Migration with Amazon Web Services, 127–51. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2589-9_10.

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Soni, Ravi Kant, and Namrata Soni. "An Introduction to Amazon Web Services (AWS)." In Spring Boot with React and AWS, 1–40. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7392-0_1.

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Nadon, Jason. "Introduction to AWS Free Tier." In Website Hosting and Migration with Amazon Web Services, 7–14. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2589-9_2.

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Тези доповідей конференцій з теми "AWS – Amazon Web Service"

Gupta, Bulbul, Pooja Mittal, and Tabish Mufti. "A Review on Amazon Web Service (AWS), Microsoft Azure & Google Cloud Platform (GCP) Services." In Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India. EAI, 2021. http://dx.doi.org/10.4108/eai.27-2-2020.2303255.

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Baginda, Yorisan P., Achmad Affandi, and Istas Pratomo. "Analysis of RTO and RPO of a Service Stored on Amazon Web Service (AWS) and Google Cloud Engine (GCE)." In 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE). IEEE, 2018. http://dx.doi.org/10.1109/iciteed.2018.8534758.

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Varella, Lucas, Patricia Plentz, Hugo Watanuki, and Artur Baruchi. "Orquestração de Aplicações de Computação de Alta Performance em Ambientes Cloud Conteinerizados." In XXI Escola Regional de Alto Desempenho da Região Sul. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/eradrs.2021.14765.

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Este trabalho explora a orquestração da plataforma HPCC Systems (High Performance Computing Cluster) em ambientes cloud conteinerizados, com a ferramenta de orquestração Kubernetes. O objetivo do trabalho é avaliar as características, benefícios e desafios da implantação da plataforma HPCC Systems nesse paradigma através de diferentes provedores de cloud pública, especificamente Amazon Web Service (AWS) e Microsoft Azure. Os resultados preliminares sugerem que o paradigma de orquestração traz diversos benefícios para a plataforma em questão, mas suposições estritas sobre persistência de armazenamento de dados e recursos compartilhados específicos ao host, entre outras condições, geram desafios ao tentar levar a tecnologia a este ambiente.

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Espinoza Guerrero, Manuel, and Majid Bayani. "Implementation of a Mini-cloud E-learning Supplementary Tool by Using free Tier AWS." In I Congreso Internacional de Ciencias Exactas y Naturales. Universidad Nacional, 2019. http://dx.doi.org/10.15359/cicen.1.79.

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Las técnicas de e-learning han mejorado el rendimiento en el sistema educativo moderno. Falta un sistema degestión de e-learning efectivo y de bajo costo, y las herramientas podría tener un impacto negativo en elrendimiento educativo. La incorporación de tecnologías en línea en el proceso de aprendizaje puede cubriresta desventaja. El sistema de nube de Amazon Web Service es una de las últimas tecnologías que ofrecengrandes volúmenes de servicios en las plataformas de aprendizaje electrónico. Accesando la capa gratuita deAWS, el sistema de gestión de aprendizaje (un Moodle con MYSQL), el alojamiento de archivos y losservicios de gestión de contenido se consideran herramientas complementarias que son viables mediante eluso de la plataforma AWS. Una explicación concisa relacionada con el diseño de la metodología se presentaen el documento junto con las ventajas del sistema que se detallan en la sección de conclusión. A pesar de quetodavía existen varios riesgos asociados con la implantación de la nube, debido a las potenciales ventajas,como el costo bajo o gratuito, el alto rendimiento en tiempo real y el diseño seguro superan los riesgos ydesafíos.

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R Rizvi, Syed, Brian Killough, Andrew Cherry, and Sanjay Gowda. "Lessons Learned and Cost Analysis of Hosting a Full Stack Open Data Cube (ODC) Application on the Amazon Web Services (AWS)." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518084.

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Silva, Igor Gonçalves, Pedro Henrique Gonzalez, and Diogo Silveira Mendonça. "Estimating transaction cost for cloud-based private ethereum blockchains." In Workshop em Blockchain: Teoria, Tecnologias e Aplicações. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wblockchain.2021.17126.

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Blockchain technology is increasingly being used by several companies in the most varied sectors of the economy. The possibility of having decentralized applications (DApps) allows for the emergence of technological innovations such as cryptocurrencies and decentralized asset tracking applications. Many of these DApps are deployed in the cloud with Infrastructure as a Service (IaaS) payment model, in which the payment is made according to the use of the service. However, it is not simple to estimate the cloud infrastructure costs that a DApp will consume. Furthermore, correctly estimating infrastructure costs is essential to analyze the viability and develop business models for enterprise DApps. This work presents an experience report on estimating the cloud infrastructure cost for an enterprise DApp. To do that, we deployed a private Ethereum DApp, using Proof-of-Authority consensus algorithm, with several different configurations of Amazon Web Services (AWS) EC2 instances and blockchain parameters. We benchmark the transaction processing capacity, CPU and disk usage in each configuration, estimating their maximum capacity and costs. We shared our methodology to measure and estimate those costs and our insights on best configuration practices for reducing costs of deploying enterprise DApps in the cloud.

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Feitosa, Leonel, Carlos Victor, Juliana Carvalho, and Francisco Airton Silva. "Avaliação de Desempenho de Nuvens usando Microsserviços." In Encontro Unificado de Computação do Piauí. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/enucompi.2021.17769.

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O processo de utilização de microsserviços no desenvolvimento de aplicações permite que estes microsserviços sejam distribuídos em diferentes provedores de nuvem de forma independente, porém gerando uma impressão que estão implantados em um único serviço. Dessa forma a utilização de microsserviços ganha força no mercado, possuindo uma maior predominância nas grandes corporações. O presente trabalho tem como objetivo avaliar o desempenho de um sistema que utiliza arquitetura de microsserviços implantada em múltiplas nuvens. Para os experimentos foram utilizados três provedores diferentes, AWS (Amazon Web Services), Google Cloud e Azure, todas as instâncias funcionam de forma independente. Os experimentos foram realizados com a aplicação de forma centralizada e distribuída. Os resultados mostram o desempenho para os cenários avaliados e as particularidades de cada um deles.

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Gamero, David, Andrew Dugenske, Thomas Kurfess, Christopher Saldana, and Katherine Fu. "SQL and NoSQL Databases for Cyber Physical Production Systems in Internet of Things for Manufacturing (IoTfM)." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-63960.

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Abstract In this paper, the design and performance differences between Relational Database Management Systems (RDBMS) and NoSQL Database Systems are examined, with attention to their applicability for real-world Internet of Things for manufacturing (IoTfM) data. While previous work has extensively compared SQL and NoSQL for both generalized and IoT uses, this work specifically examines the tradeoffs and performance differences for manufacturing applications by using a high-fidelity data set collected from a large US manufacturing firm. Growing an IoT system beyond the pilot stage requires scalable data storage; this work seeks to determine the impact of selected database systems on data write performance at scale. Payload size and message frequency were used as the primary characteristics to maintain model fidelity in simulated clients. As the number of simulated asset clients grow, the data write latency was calculated to determine how both database systems’ performance were affected. To isolate the RDBMS and NoSQL differences, a cloud environment was created using Amazon Web Services (AWS) with two identical data ingestion pipelines: writing data to an RDMBS (1) using AWS Aurora MySQL, and (2) using AWS DynamoDB NoSQL. The findings may provide guidance for further experimentation in large-scale manufacturing IoT implementations.

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Flores-Cortez, Otoniel, Ronny Cortez, and Bruno González. "Design and Implementation of an IoT Based LPG and CO Gases Monitoring System." In 2nd International Conference on Blockchain and Internet of Things (BIoT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110803.

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Nowadays use of liquefied petroleum gas (LPG) has increased. LPG is an asphyxiating, volatile and highly flammable gas. In a LPG leak situation, potential health accidents are increased either by inhalation or by combustion of the gas. On the other hand, carbon monoxide (CO) is a toxic gas that comes mainly from combustion in car engines. Breathing CO-polluted air can cause dizziness, fainting, breathing problems, and sometimes death. To prevent health accidents, including explosions, in open or closed environments, remote and real-time monitoring of the concentration levels of CO and LPG gases has become a necessity. The aim of this work is to demonstrate the use of Internet of Things (IoT) techniques to design and build a telemetry system to monitor in real-time the concentration of GLP and CO gases in the surrounding air. To implement this work, as central hardware there is a microcontroller, CO and PLG sensors on the electronic station. Besides, Amazon Web Services (AWS) was used as an IoT platform and data storage in the cloud. The main result was a telematics system to monitor in real time the concentrations of both GLP and CO gases, whose data is accessible from any device with internet access through a website. Field tests have been successful and have shown that the proposed system is an efficient and low-cost option.

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"Changing Paradigms of Technical Skills for Data Engineers." In InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4001.

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Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] This paper investigates the new technical skills that are needed for Data Engineering. Past research is compared to new research which creates a list of the 20 top tech-nical skills required by a Data Engineer. The growing availability of Data Engineering jobs is discussed. The research methodology describes the gathering of sample data and then the use of Pig and MapReduce on AWS (Amazon Web Services) to count occurrences of Data Engineering technical skills from 100 Indeed.com job advertisements in July, 2017. Background: A decade ago, Data Engineering relied heavily on the technology of Relational Database Management Sys-tems (RDBMS). For example, Grisham, P., Krasner, H., and Perry D. (2006) described an Empirical Soft-ware Engineering Lab (ESEL) that introduced Relational Database concepts to students with hands-on learning that they called “Data Engineering Education with Real-World Projects.” However, as seismic im-provements occurred for the processing of large distributed datasets, big data analytics has moved into the forefront of the IT industry. As a result, the definition for Data Engineering has broadened and evolved to include newer technology that supports the distributed processing of very large amounts of data (e.g. Hadoop Ecosystem and NoSQL Databases). This paper examines the technical skills that are needed to work as a Data Engineer in today’s rapidly changing technical environment. Research is presented that re-views 100 job postings for Data Engineers from Indeed (2017) during the month of July, 2017 and then ranks the technical skills in order of importance. The results are compared to earlier research by Stitch (2016) that ranked the top technical skills for Data Engineers in 2016 using LinkedIn to survey 6,500 peo-ple that identified themselves as Data Engineers. Methodology: A sample of 100 Data Engineering job postings were collected and analyzed from Indeed during July, 2017. The job postings were pasted into a text file and then related words were grouped together to make phrases. For example, the word “data” was put into context with other related words to form phrases such as “Big Data”, “Data Architecture” and “Data Engineering”. A text editor was used for this task and the find/replace functionality of the text editor proved to be very useful for this project. After making phrases, the large text file was uploaded to the Amazon cloud (AWS) and a Pig batch job using Map Reduce was leveraged to count the occurrence of phrases and words within the text file. The resulting phrases/words with occurrence counts was download to a Personal Computer (PC) and then was loaded into an Excel spreadsheet. Using a spreadsheet enabled the phrases/words to be sorted by oc-currence count and then facilitated the filtering out of irrelevant words. Another task to prepare the data involved the combination phrases or words that were synonymous. For example, the occurrence count for the acronym ELT and the occurrence count for the acronym ETL were added together to make an overall ELT/ETL occurrence count. ETL is a Data Warehousing acronym for Extracting, Transforming and Loading data. This task required knowledge of the subject area. Also, some words were counted in lower case and then the same word was also counted in mixed or upper case, thus producing two or three occur-rence counts for the same word. These different counts were added together to make an overall occur-rence count for the word (e.g. word occurrence counts for Python and python were added together). Fi-nally, the Indeed occurrence counts were sorted to allow for the identification of a list of the top 20 tech-nical skills needed by a Data Engineer. Contribution: Provides new information about the Technical Skills needed by Data Engineers. Findings: Twelve of the 20 Stitch (2016) report phrases/words that are highlighted in bold above matched the tech-nical skills mentioned in the Indeed research. I considered C, C++ and Java a match to the broader cate-gory of Programing in the Indeed data. Although the ranked order of the two lists did not match, the top five ranked technical skills for both lists are similar. The reader of this paper might consider the skills of SQL, Python, Hadoop/HDFS to be very important technical skills for a Data Engineer. Although the programming language R is very popular with Data Scientists, it did not make the top 20 skills for Data Engineering; it was in the overall list from Indeed. The R programming language is oriented towards ana-lytical processing (e.g. used by Data Scientists), whereas the Python language is a scripting and object-oriented language that facilitates the creation of Data Pipelines (e.g. used by Data Engineers). Because the data was collected one year apart and from very different data sources, the timing of the data collection and the different data sources could account for some of the differences in the ranked lists. It is worth noting that the Indeed research ranked list introduced the technical skills of Design Skills, Spark, AWS (Amazon Web Services), Data Modeling, Kafta, Scala, Cloud Computing, Data Pipelines, APIs and AWS Redshift Data Warehousing to the top 20 ranked technical skills list. The Stitch (2016) report that did not have matches to the Indeed (2017) sample data for Linux, Databases, MySQL, Business Intelligence, Oracle, Microsoft SQL Server, Data Analysis and Unix. Although many of these Stitch top 20 technical skills were on the Indeed list, they did not make the top 20 ranked technical skills. Recommendations for Practitioners: Some of the skills needed for Database Technologies are transferable to Data Engineering. Recommendation for Researchers: None Impact on Society: There is not much peer reviewed literature on the subject of Data Engineering, this paper will add new information to the subject area. Future Research: I'm developing a Specialization in Data Engineering for the MS in Data Science degree at our university.

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