Relevant bibliographies by topics / Amazon Web Services

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Amazon Web Services'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Amazon Web 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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Premkumar, Vandana, and Vinil Bhandari. "Caching in Amazon Web Services." International Journal of Computer Trends and Technology 69, no. 4 (April 25, 2021): 1–5. http://dx.doi.org/10.14445/22312803/ijctt-v69i4p101.

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Premkumar, Vandana, and Vinil Bhandari. "Amazon Web Services Security Best Practices." International Journal of Computer Trends and Technology 69, no. 5 (May 25, 2021): 22–25. http://dx.doi.org/10.14445/22312803/ijctt-v69i5p104.

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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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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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Tolosa-Cuadrado, Cristhian Leonardo, and Juan Sebastián González-Sanabria. "Amazon Web Services: alternativa para el almacenamiento de información-Amazon Web Services: an alternative for storing information." Revista científica 2, no. 19 (June 26, 2014): 134. http://dx.doi.org/10.14483/23448350.6500.

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Este artículo reseñó la computación en la nube y de algunos de sus servicios de almacenamiento en sistemas gestores de bases de datos relacionales y no relacionales ofrecidos por Amazon bajo el modelo de la infraestructura como servicio (IaaS ‘infrastructure as a service’). Se realiza una comparación entre los sistemas tradicionales de almacenamiento en las organizaciones y la infraestructura como servicio, para dar a conocer las ventajas y las desventajas de la adopción de nuevas tecnologías en el ámbito personal, organizacional y académico en cuanto al almacenamiento y procesamiento de la información. Además, se describen los diferentes servicios de bases de datos ofrecidos por Amazon Web Services, los cuales ofrecen el servicio de almacenamiento según las necesidades y las tecnologías que el usuario necesite.
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Qamal, Mukti, Defry Hamdhana, and Rio Pratomo. "WEBSITE MEDIA PEMBELAJARAN ONLINE AMAZON WEB SERVICES." TECHSI - Jurnal Teknik Informatika 11, no. 2 (July 26, 2019): 319. http://dx.doi.org/10.29103/techsi.v11i2.1847.

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Manukyan, A., D. Korobkin, S. Fomenkov, and S. Kolesnikov. "Semantic patent analysis with Amazon Web Services." Journal of Physics: Conference Series 2060, no. 1 (October 1, 2021): 012025. http://dx.doi.org/10.1088/1742-6596/2060/1/012025.

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Abstract Semantic analysis of the patent array allows us to solve several modern problems: (1) Clustering of the patent array. This information can be useful for identifying patent trends, key modern technologies, and predicting the demand for technologies in the future period; (2) Automation of the work of the patent office expert. Based on a full-text query (the text of a patent application), a search for analogous patents can be performed. This study describes a developed software that provides the possibility of clustering the patent array (topic modeling), identifying groups of related patents (not based on patent classification but on the basis of key terms/phrases extracted from the texts), and a search for patents using AWS technologies.
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Gajo, Marianne. "Nasdaq plant Migration auf Amazon Web Services." Die Aktiengesellschaft 67, no. 1-2 (January 1, 2022): r8. http://dx.doi.org/10.9785/ag-2022-671-211.

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Fusaro, Vincent A., Prasad Patil, Erik Gafni, Dennis P. Wall, and Peter J. Tonellato. "Biomedical Cloud Computing With Amazon Web Services." PLoS Computational Biology 7, no. 8 (August 25, 2011): e1002147. http://dx.doi.org/10.1371/journal.pcbi.1002147.

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Dissertations / Theses on the topic "Amazon Web Services"

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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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Чеботарьова, Д. В., and 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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Kuželka, Kryštof. "Datový sklad v prostředí Amazon Web Services." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201629.

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The primary objective of this work is to investigate the potential of utilizing Hadoop and Amazon Redshift in the Amazon Web Services ("AWS") cloud, in order to design and implement a data warehouse, the efficacy of which will be tested afterwards. Contributions of this work include: documenting the technologies in the AWS cloud in Czech, demonstration of the design and performance tests of the data warehouse and the ETL part. Another considerable benefit is the added value to the company for whom the project was designed, and which is currently using the output of the project.
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Werlinder, Marcus, and Emelie Tham. "Application of Amazon Web Services in software development." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231917.

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During these last recent years cloud computing and cloud services have started to gain traction, which has been most notable among companies. Amazon have proven to be one of the powerhouses on providing scalable and flexible cloud computing services. However, cloud computing is still a relatively new area. From an outsider’s point of view, the overwhelming information and available services might prove to be difficult to familiarize with. The aim of this thesis is to explore how Amazon Web Services can be applied during software development and observing how difficult it might be to use these services. Three test applications that utilized different Amazon Web Services were implemented to get an insight into how Amazon Web Services can be applied from a cloud computing beginner’s point of view. These applications were developed in an iterative manner, where a case study was performed on each application. At the start of each new iteration a literature study was conducted, where sources were reviewed to see if it provided essential information. In total, nine different Amazon Web Services were used to implement and test the three respective test applications. Results of the case study were interpreted and evaluated with regards to the learnability and appliance of Amazon Web Services. Issues that were identified during the development process showed that Amazon Web Services were not userfriendly for users that have little to no experience with cloud computing services. Further research on other Amazon Web Services, such as Elastic Cloud Computing, as well as other cloud computing platforms like Google or IBM, may provide a deeper and more accurate insight on the appliances of cloud computing.
Under dem senaste åren så har molntjänster blivit ett allt mer populärt område, speciellt inom företag. Ett av dem största utgivare inom molntjänst branschen är Amazon som erbjuder skalbara och flexibla molntjänster. Molntjänster är dock ett relativt nytt område, vilket innebär att någon som inte är insatt i ämnet kan finna all tillgänglig information överväldigande och svår att bekanta sig med. Målet med det här tesen är att utforska olika Amazon Web Service som kan användas inom mjukvaruutveckling och observera problem som kan uppstå med dessa tjänster. Tre testapplikationer som använde sig av Amazon Web Services var skapade för att få en fördjupad kunskap om hur dessa tjänster fungerar och vad för möjligheter de har. Dessa applikationer utvecklades iterativt och en fallstudie utfördes för varje applikation. I början av varje ny iteration genomfördes en litteraturstudie, där källorna var kritiskt granskade för att se ifall dem innehöll väsentlig information för tesen. Sammanlagt användes nio olika Amazon Web Services för att implementera och testa de tre olika testapplikationerna. Resultaten från fallstudien tolkades och utvärderades med avseende på Amazon Web Services lärbarhet och tillämpningsbarhet. Problem som samlades ihop under utvecklingsprocessen visade att Amazons Web Services inte var särskilt användarvänligt för utvecklare med liten eller ingen erfarenhet inom Amazon Web Services. Ytterligare forskning inom andra Amazon Web Services som Elastic Cloud Computing och forskning som undersöker andra molntjänst plattformar som Google Cloud, skulle kunna bidra med en djupare förståelse och mer exakt inblick kring tillämpning av molntjänster.
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Choudrey, Sajaval. "Video Recommendation through Machine Learning in Amazon Web Services." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303010.

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Machine learning is a field within Computer Science that is still growing. Finding innovative ways to utilise the potential of Machine learning is important for the future of many companies and service providers. Amazon Web Services (AWS) provides machine learning capabilities that don’t require expert knowledge or the implementation of advanced machine learning algorithms. This thesis looks at how one of AWS machine learning services, ”AWS Rekognition” can be used to visually analyse movie-trailers and make relevant movie-trailer recommendations based on the analysis. This is realised by an experiment were a prototype of a recommender system, based on ”AWS Rekognition”, is created. The recommendations of movie-trailers and evaluations of the recommender, are in this thesis both based on calculations of vector similarity using various formulas. The experiments conducted in the thesis showed that the quality of recommendations were varied due to limitations in the movie-trailer corpus and also due to the fact that categorizing movies solely based on visual data in many cases can be misleading.
Maskininlärning är ett område inom datalogi som fortfarande växer. Att hitta innovativa sätt att uttnytja maskininlärningens potential är viktigt för många företags och tjänsteleveratörers framtid. AmazonWeb Services (AWS) möjliggör maskininlärningsförmågor utan krav på expertis inom området, eller implementationer av avancerade maskininlärningsalgoritmer. Denna uppsats undersöker hur en av AWS maskininlärningstjänster ”AWSRekognition” kan användas för att visuellt analysera film-trailers och göra relevanta trailer rekommendationer baserat på den visuella analysen. Detta är realiserat av ett experiment där en prototyp av ett rekommendationssystem, baserat på ”AWS Rekognition”, utvecklats. Rekommendationerna och evalueringen av rekommendationssystemet är båda baserade på beräkningar av vektorlikheten med diverse formler. Experimenten som utfördes i denna uppsats visar att rekommendationernas kvalitet var varierande på grund av begränsningar i filmtrailerbiblioteket och även på grund av att kategoriseringen av filmer i många fall är väldigt missledande om endast visuell data används för analys.
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Singh, Virdi Amandeep. "AWSLang: Probabilistic Threat Modelling of the Amazon Web Services environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254329.

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Attack simulations provide a viable means to test the cyber security of a system. The simulations trace the steps taken by the attacker to compromise sensitive assets within the system. In addition to this, they can also estimate the time taken by the attacker for the same, measuring from the initial step up to the final. One common approach to implement such simulations is the use of attack graph, which trace the various dependencies of every step and their connection to one another in a formal way. To further facilitate attack simulations and to reduce the effort of creating new attack graphs for each system of a given type, domain-specific languages are employed. Another advantage of utilizing such a language is that they organize the common attack logics of the domain in a systematic way, allowing for both ease of use and reuse of models. MAL (the Meta Attack Language) has been proposed by Johnson et al. to serve as a framework to develop domain-specific languages [1]. My work is based upon the same. This thesis report presents AWSLang, which can be used to design IT system models in context to the AWS (Amazon Web Services) environment and analyse their weaknesses. The domain specifics of the language are inspired from and based on existing literature. A Systematic Literature Review (SLR) is performed to identify possible attacks against the elements in an AWS environment. These attacks are then used as groundwork to write test cases and validate the specification.
Attacksimuleringar är ett användbart sätt att testa cybersäkerheten i ett system. Simuleringarna spårar de steg som angriparen tog för att försvaga säkerheten av känsliga tillgångar inom systemet. Utöver detta kan de uppskatta hur länge attacken varade, mätt från första till sista steget. Ett gemensamt tillvägagångssätt för att implementera sådana simuleringar är användningen av attackgrafer, som spårar olika beroenden av varje steg och deras koppling till varandra på ett formellt sätt.För att ytterligare underlätta attacksimuleringar och minska ansträngningen att skapa nya attackgrafer för varje system av en given typ, används domänspecifika språk. En annan fördel med att använda ett sådant språk är att det organiserar domänens gemensamma attacklogiker på ett systematiskt sätt, vilket möjliggör både en enkel användning och återanvändning av modeller. MAL (Meta Attack Language) har föreslagits av Johnson et al. att fungera som ramverk för utvecklingen av domänspecifika språk [1]. Mitt arbete är baserat på detsamma.I denna uppsats presenteras AWSLang, som kan användas för att utforma IT-systemmodeller i kontexten av AWS-miljön (Amazon Web Services) och analysera deras svagheter. Språkets domänspecifikationer är inspirerade av och baserade på befintlig litteratur. En systematisk litteraturöversikt görs för att identifiera möjliga attacker mot elementen i en AWS-miljö. Dessa attacker används sedan som grund för att skriva testfall och validera specifikationen.
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Deiss, Alexander Druckenmüller Bettina Melle Antje. "SOA vs. REST basierend auf Google, eBay, Amazon, Yahoo!" [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-26187.

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Yevsieiev, V., and A. Bolshakov. "Use of microcontrollers with cloud services for production needs." Thesis, Кременчуцький національний університет імені Михайла Остроградського, 2022. https://openarchive.nure.ua/handle/document/20420.

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Core areas of the Fourth Industrial Revolution include aspects such as cybersecurity, cloud computing, Internet of Things, Big Data/Analysys and M2M. Production, which is designed using such approaches, as a rule, is modular and fully programmatically controlled, which allows you to implement the adjustment of the environment, the collection and business analysis of data over long periods of time, as well as quick access to data from anywhere in the world.
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Quadri, S. (Samsideen). "Cloud computing:migrating to the cloud, Amazon Web Services and Google Cloud Platform." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201703151365.

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Cloud computing provides great benefits and challenges for small, medium, and large organisations. Whether it is a financial, technology, or engineering sector any company may find a useful cloud component for the organisation’s needs. Though with its benefits come many challenges, experts believe that cloud computing advantages outweigh the disadvantages. With more research in the area of cloud computing, the challenges will be dealt with. Amazon and Google are the prominent cloud services providers with different components and services that are evolving. However, there are many other cloud vendors and this makes it difficult for potential cloud users to migrate or choose a suitable vendor from the numerous available ones. This thesis, using design science approach describes the implementation of cloud computing by different cloud providers, i.e., examines and demonstrates how Amazon and Google implemented and structured their cloud infrastructure. Also, it provides the criteria for accessing the suitability of a business or organisation for choosing a cloud provider. In addition, a web application hosted on both AWS and GCP platforms is developed in order to demonstrate the workability of the framework and guideline for selecting a cloud provider. The application is called KlaudCelet. KlaudCelet is a recommender system that is developed based on previous research on cloud deployment frameworks and proposed model (CPSM; Cloud Provider Selection Model). The recommendation by the system is reliable because it is based on research results. KlaudCelet recommends a deployment model, a cloud service provider, and a decision either to migrate or not. CPSM was not used in KlaudCelet but the model by Keung & Kwok and Misra & Mondal were used. The guideline developed was used to create a recommender framework. The need for solving this problem was shown by conducting a review of previous research and a small-scale survey among IT experts. The survey found that IT experts are optimistic about cloud computing adoption despite its challenges such as security, privacy and leaning curve. The decision to migrate to the cloud must take into consideration the organisation’s state and culture, cloud deployment model, and choosing a suitable cloud service provider.
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Vo, Sonny Tran-Hai. "Securely Consume Web Services Using PHP." ScholarWorks@UNO, 2008. http://scholarworks.uno.edu/td/902.

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The PHP: Hypertext Preprocessor language (PHP) has evolved to a sophisticated mainstream programming language for rapid development of significant Web applications at major sites including Facebook.com, Wikipedia.org and Yahoo.com. Leading software vendors such as Oracle and IBM are rushing in providing tools that bridge their products to PHP. However, we have observed a gap in facilitating PHP to utilize Web services efficiently. This thesis reports our efforts in design and implementation of PHP applications that consume Web services. In doing so, I have proposed a framework facilitating PHP programs to utilize Web services with high performance capability. In addition, a number of Web service standards including WS-Addressing and those in WS-Security are integrated into my PHP implementation. Examples of using various Amazon Web Services are provided with details.
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Books on the topic "Amazon Web Services"

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Beach, Brian. Pro Powershell for Amazon Web Services. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6452-1.

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

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Shackelford, Adam. Beginning Amazon Web Services with Node.js. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0653-9.

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Penberthy, William, and Steve Roberts. Pro .NET on Amazon Web Services. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-8907-5.

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John, Mueller. Mining Amazon web services: Building applications with the Amazon API. San Francisco: Sybex, 2004.

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Vliet, Jurg van. Programming Amazon EC2. Sebastopol, Calif: O'Reilly, 2011.

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A, Myers Thomas, ed. Google, Amazon, and beyond: Creating and consuming web services. Berkeley, CA: Apress, 2004.

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Linton, Rob. Amazon web services: Migrating your .NET enterprise application. Birmingham: Packt Publishing, 2011.

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Nadon, Jason. Website Hosting and Migration with Amazon Web Services. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2589-9.

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Robinson, Donald. Amazon web services made simple: Learn how Amazon EC2, S3, SimpleDB and SQS web services enables you to reach business goals faster. [Brisbane, Australia: Emereo], 2008.

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Book chapters on the topic "Amazon Web Services"

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Stigler, Maddie. "Amazon Web Services." In Beginning Serverless Computing, 41–81. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3084-8_3.

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Zadka, Moshe. "Amazon Web Services." In DevOps in Python, 151–63. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4433-3_13.

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Beach, Brian, Steven Armentrout, Rodney Bozo, and Emmanuel Tsouris. "Amazon WorkSpaces and Amazon AppStream 2.0." In Pro PowerShell for Amazon Web Services, 345–400. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4850-8_13.

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Beach, Brian, Steven Armentrout, Rodney Bozo, and Emmanuel Tsouris. "Amazon WorkDocs." In Pro PowerShell for Amazon Web Services, 401–22. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4850-8_14.

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Beach, Brian. "Amazon Machine Images." In Pro Powershell for Amazon Web Services, 115–34. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6452-1_7.

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Beach, Brian, Steven Armentrout, Rodney Bozo, and Emmanuel Tsouris. "Amazon Machine Images." In Pro PowerShell for Amazon Web Services, 157–71. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4850-8_7.

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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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Chaganti, Ravikanth. "Amazon Web Services and DSC." In Pro PowerShell Desired State Configuration, 531–51. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3483-9_19.

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Fox, Richard, and Wei Hao. "Case Study: Amazon Web Services." In Internet Infrastructure, 497–589. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2017]: CRC Press, 2017. http://dx.doi.org/10.1201/9781315175577-12.

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Nakhimovsky, Alexander, and Tom Myers. "Defining Web Services." In Google, Amazon, and Beyond: Creating and Consuming Web Services, 1–24. Berkeley, CA: Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-0818-1_1.

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Conference papers on the topic "Amazon Web Services"

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Swedha, K., and Tanuja Dubey. "Analysis of Web Authentication Methods Using Amazon Web Services." In 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2018. http://dx.doi.org/10.1109/icccnt.2018.8494054.

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Neela, SaiAkash, Yashwanth Neyyala, VamsiNadh Pendem, Kanishk Peryala, and Vasantham Vijay Kumar. "Cloud Computing Based Learning Web Application Through Amazon Web Services." In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2021. http://dx.doi.org/10.1109/icaccs51430.2021.9441974.

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Krause, Steffen. "Tutorial: Hands on Introduction to Amazon Web Services." In 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing (UCC). IEEE, 2013. http://dx.doi.org/10.1109/ucc.2013.16.

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Kumar, V. D. Ambeth, V. D. Ashok Kumar, H. Divakar, and R. Gokul. "Cloud enabled media streaming using Amazon Web Services." In 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM). IEEE, 2017. http://dx.doi.org/10.1109/icstm.2017.8089150.

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Cook, Byron. "Automated formal reasoning about amazon web services (keynote)." In ISSTA '17: International Symposium on Software Testing and Analysis. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3092282.3092315.

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Dinca, Marius Alexandru, Nicoleta Angelescu, Radu Dragomir, Dan Constantin Puchianu, and Ion Caciula. "Digital Media Distribution Platform Using Amazon Web Services." In 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2019. http://dx.doi.org/10.1109/ecai46879.2019.9042112.

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Ahmed, Md Imtiaz. "Web Based Seller Support System: Amazon Overview." In 2020 IEEE Conference on e-Learning, e-Management and e-Services (IC3e). IEEE, 2020. http://dx.doi.org/10.1109/ic3e50159.2020.9288418.

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Shokeen, Shivanshi, and Archana Singh. "Deploying an e-commerce website using Amazon Web Services." In 2019 International Conference on contemporary Computing and Informatics (IC3I). IEEE, 2019. http://dx.doi.org/10.1109/ic3i46837.2019.9055586.

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Sadavarte, Sanket Sanjay, and Eliane Bodanese. "Pregnancy Companion Chatbot Using Alexa and Amazon Web Services." In 2019 IEEE Pune Section International Conference (PuneCon). IEEE, 2019. http://dx.doi.org/10.1109/punecon46936.2019.9105762.

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Huy, An Quoc, and Phan Duy Hung. "Security and Cost Optimization Auditing for Amazon Web Services." In ICSIM 2019: The 2nd International Conference on Software Engineering and Information Management. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3305160.3305181.

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Reports on the topic "Amazon Web Services"

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Magana-Zook, S. A. Data Intensive Computing on Amazon Web Services. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1378527.

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Banerjee, Onil, Martin Cicowiez, Marcia Macedo, Žiga Malek, Peter H. Verburg, Sean Goodwin, Renato Vargas, et al. An Amazon Tipping Point: The Economic and Environmental Fallout. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003385.

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The Amazon biome, despite its resilience, is being pushed by unsustainable economic drivers towards an ecological tipping point where restoration to its previous state may no longer possible. This is the result of self-reinforcing interactions between deforestation, climate change and fire. In this paper, we develop scenarios that represent movement towards an Amazon tipping point and strategies to avert one. We assess the economic, natural capital and ecosystem services impacts of these scenarios using the Integrated Economic-Environmental Modeling (IEEM) Platform linked with high resolution spatial land use land cover change and ecosystem services modeling (IEEMESM). This papers main contributions are developing: (i) a framework for evaluating strategies to avert an Amazon tipping point based on their relative costs, benefits and trade-offs, and; (ii) a first approximation of the economic, natural capital and ecosystem services impacts of movement towards an Amazon tipping point, and evidence to build the economic case for strategies to avert it. We find that a conservative estimate of the cumulative regional cost through 2050 of an Amazon tipping point would be US$256.6 billion in Gross Domestic Product. Policies that would contribute to averting a tipping point, including strongly reducing deforestation, investing in climate-adapted agriculture, and improving fire management, would generate approximately US$339.3 billion in additional wealth. From a public investment perspective, the returns to implementing strategies for averting a tipping point would be US$29.5 billion. Quantifying the costs, benefits and trade-offs of policies to avert a tipping point in a transparent and replicable manner can pave the way for evidence-based approaches to support policy action focusing on the design of regional strategies for the Amazon biome and catalyze global cooperation and financing to enable their implementation.
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