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Journal articles on the topic 'Amazon Web Services'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 January 2023

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1

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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2

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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4

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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5

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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8

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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9

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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10

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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11

Newcombe, Chris, Tim Rath, Fan Zhang, Bogdan Munteanu, Marc Brooker, and Michael Deardeuff. "How Amazon web services uses formal methods." Communications of the ACM 58, no. 4 (March 23, 2015): 66–73. http://dx.doi.org/10.1145/2699417.

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12

Kausik, Nandula Rohan, Nandula Nikhil Kartik, and Soma Sekhar G. "Personal Expense Tracker utilizing Amazon Web Services." International Journal of Computer Trends and Technology 70, no. 11 (November 30, 2022): 8–14. http://dx.doi.org/10.14445/22312803/ijctt-v70i11p102.

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13

Mora-Márquez, Fernando, José Luis Vázquez-Poletti, and Unai López de Heredia. "NGScloud2: optimized bioinformatic analysis using Amazon Web Services." PeerJ 9 (April 16, 2021): e11237. http://dx.doi.org/10.7717/peerj.11237.

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Background NGScloud was a bioinformatic system developed to perform de novo RNAseq analysis of non-model species by exploiting the cloud computing capabilities of Amazon Web Services. The rapid changes undergone in the way this cloud computing service operates, along with the continuous release of novel bioinformatic applications to analyze next generation sequencing data, have made the software obsolete. NGScloud2 is an enhanced and expanded version of NGScloud that permits the access to ad hoc cloud computing infrastructure, scaled according to the complexity of each experiment. Methods NGScloud2 presents major technical improvements, such as the possibility of running spot instances and the most updated AWS instances types, that can lead to significant cost savings. As compared to its initial implementation, this improved version updates and includes common applications for de novo RNAseq analysis, and incorporates tools to operate workflows of bioinformatic analysis of reference-based RNAseq, RADseq and functional annotation. NGScloud2 optimizes the access to Amazon’s large computing infrastructures to easily run popular bioinformatic software applications, otherwise inaccessible to non-specialized users lacking suitable hardware infrastructures. Results The correct performance of the pipelines for de novo RNAseq, reference-based RNAseq, RADseq and functional annotation was tested with real experimental data, providing workflow performance estimates and tips to make optimal use of NGScloud2. Further, we provide a qualitative comparison of NGScloud2 vs. the Galaxy framework. NGScloud2 code, instructions for software installation and use are available at https://github.com/GGFHF/NGScloud2. NGScloud2 includes a companion package, NGShelper that contains Python utilities to post-process the output of the pipelines for downstream analysis at https://github.com/GGFHF/NGShelper.

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14

Patel, Amaan Ashfaq. "Cloud Computing : Amazon Web Services (Infrastructure on Demand)." International Journal for Research in Applied Science and Engineering Technology 6, no. 6 (June 30, 2018): 1410–15. http://dx.doi.org/10.22214/ijraset.2018.6206.

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15

Yamasaki, Toshihiko. "Getting Started with Cloud Computing (3); Introduction of Amazon Web Services." Journal of the Institute of Image Information and Television Engineers 69, no. 7 (2015): 560–65. http://dx.doi.org/10.3169/itej.69.560.

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Matsui, Yusuke, and Toshihiko Yamasaki. "Getting Started with Cloud Computing (4); Advance of Amazon Web Services." Journal of the Institute of Image Information and Television Engineers 69, no. 9 (2015): 752–56. http://dx.doi.org/10.3169/itej.69.752.

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17

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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18

Vatzolas, Andreas, Harald Ritz, and Timo Krauskopf. "Evaluation von Data-Platform-as-a-Service-Lösungen mit Amazon Web Services anhand einer prototypischen Implementierung." Anwendungen und Konzepte der Wirtschaftsinformatik, no. 11 (July 22, 2020): 1. http://dx.doi.org/10.26034/lu.akwi.2020.3258.

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Durch die fortschreitende Digitalisierung stehen die Unternehmen in einem immer stärkeren Wettbewerb miteinander und müssen sich auf einem globalen Markt behaupten. Auch der Einsatz neuer Technologien zur Gewinnung unternehmensrelevanter Informationen ist zu einem kritischen Erfolgsfaktor geworden. Klassische Business-Intelligence-Methoden stoßen aufgrund unstrukturierter und komplexerer Datenbestände, wie Social Media oder IoT, immer wieder an ihre Grenzen. Die Trends Big Data und Cloud Computing bieten neue Möglichkeiten, diese Daten zu sammeln, zu analysieren und so nützliche Informationen in einem Wettbewerbs-umfeld zu erhalten. Unternehmen sind daher gezwungen, ihre IT stark zu verändern, um am Markt bestehen zu können. Amazon Web Services bietet eine Cloud-basierte Lösung, um klassische Business-Intelligence-Konzepte und große Datenmengen in einem System zu nutzen. Der Umstieg auf die Amazon Cloud ist jedoch ein großer Schritt und erfordert technologisches Know-how. Es stellen sich neue Herausforderungen und Fragen bzgl. der Sicherheitsaspekte, der Funktionalität sowie der Zuverlässigkeit einer Cloudplattform. Zu diesem Zweck befasst sich diese Arbeit mit der Implementierung von Data-Platform-as-a-Service-Lösungen unter Verwendung des Cloud-Anbieters Amazon Web Services. Sie soll als Werkzeug zur Wissensbildung dienen. Die relevanten Komponenten der Amazon Cloud werden theoretisch beschrieben und in einem Prototyp praktisch dokumentiert. Mit Hilfe eines selbst entwickelten Kriterienkatalogs kann der gesamte Prozess eingeordnet und kritisch bewertet werden. Damit bietet die vorliegende Arbeit einen ersten Anhaltspunkt zur Wissensbildung und ein mögliches Modellierungs-werkzeug für Unternehmen, die einen Wechsel in die Amazon-Cloud planen.

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Sugiyanta, Lipur, and Witri Adinda Nurahma. "Analisis Perbandingan Antara Colocation Server Dengan Amazon Web Services (Cloud) Untuk Usabilitas Portal Swa.co.id Di PT. Swa Media Bisnis)." PINTER : Jurnal Pendidikan Teknik Informatika dan Komputer 1, no. 1 (June 1, 2017): 58–63. http://dx.doi.org/10.21009/pinter.1.1.8.

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Untuk mendukung usabilitas web portal nya, SWA Media Online menggunakan layanan web hosting Colocation Server dari Wowrack. Layanan Colocation Server dari Wowrack ini memiliki lokasi server fisik atau pusat data di Surabaya, Indonesia. Seiring berjalannya waktu, penggunaan Colocation Server dirasa semakin menghambat perkembangan perusahaan, terbukti dengan melambatnya akses ke web portal swa.co.id. Untuk itu, pada bulan Mei - Juni 2015 SWA Media Online memutuskan berpaling dari Colocation Server ke teknologi cloud terbaru. Pada akhir bulan Juni 2015, SWA Media Online resmi bermigrasi dari colocation ke Amazon Web Services. Dimana server fisik nya berada di Singapura (untuk pelanggan ASEAN). Untuk fitur yang digunakan, hampir sama seperti saat menggunakan colocation yaitu yang sesuai dengan kebutuhan perusahaan. Namun, pada Amazon Web Services memberikan service atau fitur tambahan berupa adanya load balancer, auto scaling, dan bucket atau media penyimpanan. Metodologi yang peneliti terapkan dalam penelitian ini adalah metodologi analisis secara kualitatif. Berdasarkan hasil penelitian, didapatkan hasil bahwa fitur tambahan yang diberikan Amazon Web Services mampu meningkatkan usabilitas portal dalam segi kemudahan dalam kecepatan akses portal. Kecepatan akses web portal meningkat lebih baik dibandingkan saat menggunakan Colocation Server.

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20

Petrik, Dimitri, Fabian Schüler, Virginia Springer, Marc Fiebich, Kiara Kretzschmar, and Georg Herzwurm. "IoT-Plattformökosystemanalyse am Beispiel von Amazon Web Services IoT." Wirtschaftsinformatik & Management 13, no. 2 (March 8, 2021): 100–109. http://dx.doi.org/10.1365/s35764-021-00327-w.

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21

Shapovalova, V. V., S. P. Radko, K. G. Ptitsyn, G. S. Krasnov, K. V. Nakhod, O. S. Konash, M. A. Vinogradina, E. A. Ponomarenko, D. S. Druzhilovskiy, and A. V. Lisitsa. "Processing Oxford Nanopore Long Reads Using Amazon Web Services." Biomedical Chemistry: Research and Methods 3, no. 4 (2020): e00131. http://dx.doi.org/10.18097/bmcrm00131.

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Studies of genomes and transcriptomes are performed using sequencers that read the sequence of nucleotide residues of genomic DNA, RNA, or complementary DNA (cDNA). The analysis consists of an experimental part (obtaining primary data) and bioinformatic processing of primary data. The bioinformatics part is performed with different sets of input parameters. The selection of the optimal values of the parameters, as a rule, requires significant computing power. The article describes a protocol for processing transcriptome data by virtual computers provided by the cloud platform Amazon Web Services (AWS) using the example of the recently emerging technology of long DNA and RNA sequences (Oxford Nanopore Technology). As a result, a virtual machine and instructions for its use have been developed, thus allowing a wide range of molecular biologists to independently process the results obtained using the "Oxford nanopore".

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22

Radford, CJ. "Challenges and solutions protecting data within Amazon Web Services." Network Security 2014, no. 6 (June 2014): 5–8. http://dx.doi.org/10.1016/s1353-4858(14)70058-3.

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23

Axelrod, Amittai. "Box: Natural Language Processing Research Using Amazon Web Services." Prague Bulletin of Mathematical Linguistics 104, no. 1 (October 1, 2015): 27–38. http://dx.doi.org/10.1515/pralin-2015-0011.

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Abstract We present a publicly-available state-of-the-art research and development platform for Machine Translation and Natural Language Processing that runs on the Amazon Elastic Compute Cloud. This provides a standardized research environment for all users, and enables perfect reproducibility and compatibility. Box also enables users to use their hardware budget to avoid the management and logistical overhead of maintaining a research lab, yet still participate in global research community with the same state-of-the-art tools.

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S, Murali, Manimaran A, Selvakumar K, and Dinesh Kumar S. "Hashing based Hybrid Online Voting Using Amazon Web Services." International Journal of Engineering & Technology 7, no. 4.10 (October 2, 2018): 295. http://dx.doi.org/10.14419/ijet.v7i4.10.20915.

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The secured web-based voting framework is the need of the present time. We propose another secure authentication for the online voting framework by utilizing face recognition and hashing algorithm. A simple verification process is accomplished during the initial registration process via email and phone. The voter is asked to give a unique identification number (UIN) provided by the election authority and face image at the time of main registration. This UIN is converted into a secret key using the SHA algorithm. The face image that is saved in the Amazon web service (AWS) acts as an authentication mechanism which enables people to cast their vote secretly. The voters, who cast numerous votes amid the way toward voting is guaranteed to be counteracted by encrypted UIN. The election organizers can see the election parallelly as the voting is saved in the real-time database. The privacy of the voter is maintained as the details are converted into the key. In this system, an individual can vote from outside of his/her allocated constituency.

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Rojas-Albarracín, Gabriel, Jorge Páramo-Fonseca, and Cindy Hernández-Merchán. "Plataforma computacional sobre Amazon Web Services (Aws) de renderizado distribuido." Revista científica 3, no. 30 (September 1, 2017): 252. http://dx.doi.org/10.14483/23448350.12362.

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En la actualidad se ha creado una dinámica en la cual las personas exigen una mayor calidad de imagen en diferentes medios (Juegos, películas, animaciones). Una mayor definición por lo general requiere el procesamiento de imágenes de mayor tamaño, esto trae consigo la necesidad de aumentar la capacidad de cálculo. El presente artículo expone un caso de estudio en el cual se muestra la implementación de una plataforma de bajo costo, sobre la nube de Amazon, para el procesamiento (renderizado) de imágenes y animaciones de forma paralela.

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26

Withers, C. "Review: Google, Amazon, and Beyond: Creating and Consuming Web Services." Computer Bulletin 46, no. 5 (September 1, 2004): 30. http://dx.doi.org/10.1093/combul/46.5.30-a.

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27

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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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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28

Jung, Myung-Chul, and Sung-Bae Cho. "Automatic Web Service Composition Based on Behavior Network." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 5 (September 20, 2006): 728–32. http://dx.doi.org/10.20965/jaciii.2006.p0728.

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As Web services become more widely disseminated, tools are needed to help users find and integrate these services. As these services become more available, users and service providers will want to obtain new and value-added services by combining and reconfiguring existing services. We propose novel Web service composition based on a behavior network that selects services automatically through internal and external links with environmental information from sensor and goals. Optimal services are selected at each step, resulting in a globally optimal service sequence for achieving a preset goal. We developed our prototype using Amazon Web services to verify its feasibility. Experimental results comparing rule-based system and user tests demonstrated the potential of the behavior network for Web services applications.

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29

Millán-Rojas, Edwin Eduardo, and José Nelson Pérez-Castillo. "Servicio Amazon Web Services de clasificación primaria de imágenes de fuentes hídricas del piedemonte amazónico que usan redes neuronales-Service Amazon Web Services primary classification images of the Amazon piedmont water sources using neural networks." Revista científica 2, no. 19 (June 26, 2014): 104. http://dx.doi.org/10.14483/23448350.6498.

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En la presente investigación se parte de la determinación de un problema que se encuentra hoy en día en muchos campos de las organizaciones que se dedican a la investigación, como lo es la Universidad de la Amazonia, en la cual existen grupos de investigación que generan altos volúmenes de información gráfica. Estos fueron tomados como base para realizar un procesamiento inteligente que permita clasificar los tipos de agua en su nivel primario y determinar si se puede llevar esta clasificación a un servicio web desplegado en la nube y consumido desde una aplicación móvil desarrollada para dispositivos con sistema operativo Android.

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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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Lang, Michael. "Cloud-Dienste: „Demokratisierung der Technologie“." kma - Klinik Management aktuell 27, no. 11 (November 2022): 36–37. http://dx.doi.org/10.1055/s-0042-1758599.

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32

Chairunnisa, Cilvia, Indri Rahmayuni, and Deddy Prayama. "OpenVPN Server Menggunakan Ubuntu Server 20.04 LTS pada Amazon Web Services." JITSI : Jurnal Ilmiah Teknologi Sistem Informasi 2, no. 2 (August 26, 2021): 63–68. http://dx.doi.org/10.30630/jitsi.2.2.22.

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Jaringan komputer merupakan satu teknologi yang banyak digunakan oleh perusahaan yang berfungsi menghubungkan satu lokasi dengan lokasi yang lainnya. Penggunaan internet sebagai suatu media komunikasi selain sangat bermanfaat untuk perusahaan, namun tetap memiliki kelemahan dalam hal keamanannya. Kendala yang dihadapi yaitu bagaimana mengakses data yang berada dikantor dan menjadikan perangkat karyawan menjadi satu jaringan yang diperlukan untuk testing API tanpa harus datang langsung ke kantor, tentunya dengan tingkat keamanan yang sangat memadai. Solusi yang bisa digunakan untuk masalah tersebut yaitu membangun sebuah sebuah server OpenVPN sebagai tunnel untuk diteraptakan agar dapat membantu karyawan untuk dapat mengakses jaringan kantor atau karyawan lainnya. Dengan mengimplementasikan sistem tersebut testing API pada aplikasi mobile, yang mana berjalan pada komputer local kantor maupun berjalan pada computer client atau karyawan lain

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Бабак, И. Н., and A. A. Микитенко. "АНАЛИЗ МЕХАНИЗМОВ ОБЕСПЕЧЕНИЯ БЕЗОПАСНОСТИ ИНФОРМАЦИИ В ОБЛАКЕ AMAZON WEB SERVICES (AWS)." Open Information and Computer Integrated Technologies, no. 81 (November 16, 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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34

Ma, Hong Jiang. "Semantic Web Service Composition Based on Topic Maps." Applied Mechanics and Materials 121-126 (October 2011): 4142–45. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4142.

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To improve efficiency and accuracy of semantic web service composition, a topic maps oriented semantic web service composition policy is proposed. Firstly describes topic maps and web service with ontology, then defines a service composition view to implement service composition mapping. Secondly, a matching dependency for semantic web service is defined, and employ greedy genetic algorithm to optimize the results. Finally, this paper implements the method based Amazon services set and the results show that it is better efficiency than old method.

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Kadhim, Lamyaa Mohammed. "Study on Network Behavior Assessment Using Amazon Web and Cloud Computing Services." International Journal of Engineering Research and Advanced Technology 07, no. 02 (2021): 13–18. http://dx.doi.org/10.31695/ijerat.2021.3694.

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Sarawgi, Kajal, and Vandana Pathak. "Opinion Mining: Aspect Level Sentiment Analysis using SentiWordNet and Amazon Web Services." International Journal of Computer Applications 158, no. 6 (January 17, 2017): 31–36. http://dx.doi.org/10.5120/ijca2017912830.

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Parigi, Abhijna, Marisa Lim, Saranya Canchi, Jose Sanchez, Jeremy Walter, Rayna Harris, Amanda Charbonneau, and C. Brown. "A virtual training module for introducing the use of Amazon Web Services." Journal of Open Source Education 5, no. 54 (August 26, 2022): 167. http://dx.doi.org/10.21105/jose.00167.

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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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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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Lim, Billy, Sri Ram Ajjarapu, and Krishna Thummala. "Interfacing with Amazon Web Services Using Java and .NET: A Comparative Study." Journal of Internet Commerce 3, no. 4 (November 29, 2004): 19–41. http://dx.doi.org/10.1300/j179v03n04_02.

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Basha, S. Nazeem, S. A. K. Jilani, and S. Arun. "An Intelligent Door System using Raspberry Pi and Amazon Web Services IoT." International Journal of Engineering Trends and Technology 33, no. 2 (March 25, 2016): 84–89. http://dx.doi.org/10.14445/22315381/ijett-v33p217.

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Musser VI, John A., Amie E. Kremer RN, and BSN . "WORDS NOW SPOKEN, AN AMAZON WEB SERVICES APPLICATION FOR THE SENSORY IMPAIRED." Journal of Research in Engineering and Applied Sciences 04, no. 02 (April 15, 2019): 57–63. http://dx.doi.org/10.46565/jreas.2019.v04i02.001.

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Pratt, B., J. J. Howbert, N. I. Tasman, and E. J. Nilsson. "MR-Tandem: parallel X!Tandem using Hadoop MapReduce on Amazon Web Services." Bioinformatics 28, no. 1 (November 8, 2011): 136–37. http://dx.doi.org/10.1093/bioinformatics/btr615.

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Han, Yan. "Cloud Computing: Case Studies and Total Cost of Ownership." Information Technology and Libraries 30, no. 4 (December 1, 2011): 198. http://dx.doi.org/10.6017/ital.v30i4.1871.

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This paper consists of four major sections: The first section is a literature review of cloud computing and a cost model. The next section focuses on detailed overviews of cloud computing and its levels of services: SaaS, PaaS, and IaaS. Major cloud computing providers are introduced, including Amazon Web Services (AWS),<br />Microsoft Azure, and Google App Engine. Finally, case studies of implementing web applications on IaaS and PaaS using AWS, Linode and Google AppEngine are demonstrated. Justifications of running on an IaaS provider (AWS) and running on a PaaS provider (Google AppEngine) are described. The last section discusses costs and technology analysis comparing cloud computing with local managed storage and servers. The total costs of ownership (TCO) of an AWS small instance are significantly<br />lower, but the TCO of a typical 10TB space in Amazon S3 are<br />significantly higher. Since Amazon offers lower storage pricing for huge amounts of data, the TCO might be lower. Readers should do their own analysis on the TCOs.

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Reddy, B. T. Krishna, M. Harish, P. Hemanth Kumar, K. Aashish, and Dr N. Ramamurthy. "E-Commerce Website Hosting Using AWS Cloud Services." Journal of Optical Communication Electronics 8, no. 2 (June 23, 2022): 8–13. http://dx.doi.org/10.46610/jooce.2022.v08i02.002.

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The primary extent of this task is to comprehend how to best use different distributed computing administrations to get great execution for less expense. Amazon surrenders a marvelous arrangement of web helps that enables fashioners to make dynamic and generous applications. Conveying on AWS can save you time, money and work diverged from building and staying aware of additional customary frameworks. Amazon Web Services offers a wide plan of overall cloud-based things including process, limit, informational collections, assessment, coordinating, flexible, engineer gadgets, the board contraptions, IoT, security, and try applications: on- demand, open quite promptly, with pay-all the more just as expenses emerge esteeming. From data warehousing to association instruments, lists to content transport, more than 200 AWS organizations are available. New organizations can be provisioned quickly, without the blunt capital expense. Today, AWS gives a significantly trustworthy, flexible, negligible cost establishment stage in the cloud that controls a colossal number of associations in 190 countries all over the planet. This licenses adventures, new organizations, little and medium-sized associations and clients in the public region to get to the construction blocks they need to answer quickly to changing business essentials. Amazon EC2 (Elastic Compute Cloud), VPC (Virtual Private Cloud), IAM (Identity And Access Management), Cloud Watch, CDN (Content Delivery Network) and Route 53 are used here since it is very popular in giving extraordinary disseminated figuring organizations. In this report, I'll tell you, step by step, through the procedure of using the AWS Marketplace to game plan and produce another AWS Cloud server. In this task we furthermore used progression gadgets like GIT and Jenkins for robotization.

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Erico, Erico, Stephanie Wijaya, Bryan Herberth Tambela, Irpan Adiputra Pardosi, and Sunaryo Winardi. "Pengembangan Sistem Monitor dan Laporan Mesin PT. Numalos Abadi Menggunakan Amazon Web Services." Jurnal SIFO Mikroskil 23, no. 2 (October 27, 2022): 111–20. http://dx.doi.org/10.55601/jsm.v23i2.886.

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PT. Numalos Abadi merupakan perusahaan distributor dan layanan purna jual mesin, salah satunya adalah decanter Flottweg Z5E. PT. Numalos Abadi memerlukan penerapan Internet of Things untuk mendapatkan informasi mesin, salah satu informasi mesin yang menjadi fokus utama adalah running hour yang merupakan penjumlahan durasi mesin berjalan. Running hour yang tidak terpantau mengakibatkan penurunan kinerja mesin yang berdampak pada hasil produksi maupun kerusakan mesin. Tidak adanya pemberitahuan dini waktu perawatan mesin mengakibatkan tidak adanya persiapan materi maupun waktu yang merugikan bagi customer. Berdasarkan masalah tersebut, dikembangkanlah sebuah solusi berupa sistem monitoring dan laporan mesin untuk mengelola waktu perawatan mesin dan mengurangi potensi kerugian bagi customer. Pengembangan sistem monitor dan laporan mesin diimplementasikan menggunakan Amazon Web Services dalam aplikasi web dan mobile. Dalam penelitian ini dikembangkan aplikasi web dan mobile menggunakan metodologi Waterfall untuk menghasilkan kualitas sistem yang baik dan dokumen pengembangan sistem yang terorganisasi. Pengujian dilakukan secara simulasi dan running hour yang telah melewati batas akan menampilkan indikasi alarm serta notifikasi. Pengujian Black Box yang dilakukan juga menunjukkan secara fungsional aplikasi dapat bekerja dengan baik dan mengeluarkan hasil yang diharapkan.PT Numalos Abadi is a distributor and after-sales service company for machinery, one of which is the Flottweg Z5E decanter. PT. Numalos Abadi required using the Internet of Things to obtain information on the machines it distributes. One of the main focuses is the running hour of a machine which is the number of hours a machine is in operational mode, if not monitored could cause a decrease in machine performance which impacts the production results and machine damage. Due to the absence of a notification Customers often requests sudden maintenance without any preparation. Based on this problem, a solution was developed in the form of a machine Monitoring and Reporting system to manage maintenance time and reduce potential losses. The development of the system is implemented using Amazon Web Services in web and mobile applications. Waterfall methodology is used in this research to produce good system quality and organized system development documents. Testing is done by simulation and running hours that have exceeded the limit will display alarm indications and notifications. Black Box testing shows that functionally the application works and produces the expected results.

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Guha, Tapas, and Dr K. G. Mohan. "A Hybrid Capsule Network with Attention and BiLSTM for Opinion Mining in Text." Webology 18, Special Issue 04 (September 30, 2021): 426–41. http://dx.doi.org/10.14704/web/v18si04/web18138.

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Examining the product review or review on web service facilitate to increase the product quality or web service. By means, comments from online shopping sites such as Amazon, Flipkart, EBay etc will not only assist the users to purchase the product however besides be able to guide the producer/supplier to identify the advantages and disadvantages of the goods. Mining online shopping websites with their information will becomes a major important task. Web Mining plays a major important role to mine the details of online websites efficiently. Web mining is the process of data mining that learns without human intervention and mine information obtained from the documents in web and also services. Sentiment categorization and web mining has become a truly significant task recently, with profound business and research impact. Machine learning algorithms and soon after deep learning methods have been the market leaders in sentiment analysis. The advent of capsule networks has been a landmark event in deep learning. It has been truly proficient in image processing. In case of text classification, standalone capsule networks are not optimally suitable. Here, a hybrid BiLSTM-Capsule framework is introduced for sentiment analysis of web texts of reviews from various datasets. In the model beginning, there is a bidirectional LSTM layer after which is an attention layer and a final capsule layer. This review analysis will helps to improve the products from amazon, increase the movie quality. The analysis of outcome depending on MR, IMDB, SST and Amazon datasets indicated the introduced framework performs better than some benchmark deep learning models. Significantly, the BiLSTM-Capsule can put its words in sentimental trend showing the capsules’ attributes without utilizing the linguistic knowledge.

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Botez, Robert, Jose Costa-Requena, Iustin-Alexandru Ivanciu, Vlad Strautiu, and Virgil Dobrota. "SDN-Based Network Slicing Mechanism for a Scalable 4G/5G Core Network: A Kubernetes Approach." Sensors 21, no. 11 (May 29, 2021): 3773. http://dx.doi.org/10.3390/s21113773.

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Managing the large volumes of IoT and M2M traffic requires the evaluation of the scalability and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedicated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.

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Chong, Nathan, Byron Cook, Jonathan Eidelman, Konstantinos Kallas, Kareem Khazem, Felipe R. Monteiro, Daniel Schwartz‐Narbonne, Serdar Tasiran, Michael Tautschnig, and Mark R. Tuttle. "Code‐level model checking in the software development workflow at Amazon Web Services." Software: Practice and Experience 51, no. 4 (January 20, 2021): 772–97. http://dx.doi.org/10.1002/spe.2949.

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Hofmann, Wladimir, Sebastian Lang, Paul Reichardt, and Tobias Reggelin. "A brief introduction to deploy Amazon Web Services for online discrete-event simulation." Procedia Computer Science 200 (2022): 386–93. http://dx.doi.org/10.1016/j.procs.2022.01.237.

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Konda, Pavan Kumar, and Hamid Shahnasser. "SMART INDOOR FARMING USING INTEL EDISON AND AMAZON WEB SERVICES –INTERNET OF THINGS." JP Journal of Heat and Mass Transfer SV2018, no. 1 (June 1, 2018): 1–12. http://dx.doi.org/10.17654/hmsi118001.

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