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Journal articles on the topic 'Amazon Simple Storage Service'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

MAMUTA, Maryna, Igor KRAVCHENKO, and Oleksandr MAMUTA. "AMAZON S3 STATIC WEBSITE HOSTING." Herald of Khmelnytskyi National University. Technical sciences 317, no. 1 (2023): 128–34. http://dx.doi.org/10.31891/2307-5732-2023-317-1-128-134.

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Nowadays, especially in period of energetic crisis, it is very important to get reliable data storage and uninterrupted access to websites. Considering that the world’s mainstream is using the clouds services for educational, scientific, business purposes it is important to explore features of hosting websites in major cloud service providers. One of the leader’s vendors in cloud servicing is Amazon with its Web Services (AWS). AWS offers hosting solutions such as Lightsail, Amplify Console, Simple Storage Service (S3) and Elastic Cloud Computing, from simple static websites to complicated dyn

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Ms., Gloriya Kardile, and Vaibhavi Channe Ms. "AWS S3 Classes: A Comparative Analysis and Optimization Strategies for Cost Efficiency and Performance Optimization for Organizations." International Journal of Advance and Applied Research S6, no. 22 (2025): 287–95. https://doi.org/10.5281/zenodo.15501607.

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<em>Cloud storage services, particularly Amazon Simple Storage Service (S3), have become fundamental components for organizations seeking scalable and cost-effective solutions for data storage. With Amazon S3 offering multiple storage classes tailored to different performance, Durability, and cost requirements, selecting the appropriate storage class has become a critical decision for organizations aiming to optimize both cost efficiency and performance. This paper presents a comprehensive comparative analysis of the various storage classes available in Amazon S3, including Standard, Standard-

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Andreozzi, S., L. Magnoni, and R. Zappi. "Towards the integration of StoRM on Amazon Simple Storage Service (S3)." Journal of Physics: Conference Series 119, no. 6 (2008): 062011. http://dx.doi.org/10.1088/1742-6596/119/6/062011.

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Krishna, Mohan Pitchikala. "Strategies for Migrating S3 Objects Across Regions." European Journal of Advances in Engineering and Technology 10, no. 12 (2023): 47–50. https://doi.org/10.5281/zenodo.13320037.

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In today’s world, organizations use cloud storage services like Amazon Simple Storage Service (S3) to manage their data. As businesses grow internationally, they often need to move their data between different AWS regions. This process must be efficient and secure to avoid service interruptions and comply with data privacy laws. In this paper, we will discuss four main methods for migrating the S3 data: S3 Replication, S3 Batch Operations, AWS DataSync, and Custom Scripts. We will highlight the benefits and limitations of each method, considering the factors such as data size, cost, and

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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 (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 m

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Ankush, Verma* Dr Neelesh Jain. "AMAZON HADOOP FRAMEWORK USED IN BUSINESS FOR BIG DATA ANALYSIS." Global Journal of Engineering Science and Research Management 4, no. 5 (2017): 131–35. https://doi.org/10.5281/zenodo.801272.

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The Amazon MapReduce programming model, introduced by Amazon, a simple and efficient way of performing distributed computation over large data sets on the web especially for e-commerce. Amazon EMR work on Master/Slave Architecture using Amazon EMR for map and reduce big data. Amazon EC2 use cloud computing is a central part of designed web service that provides resizable compute capacity in the cloud. Here we also discuss about the Benefit and limitation of using Amazon EMR. Amazon S3 use easy to store and retrieve any amount of data on web. A Amazon clusters is a set of servers that work toge

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B, Shadaksharappa. "High Availability and Fault Tolerance in AWS." International Journal of Innovative Research in Information Security 09, no. 03 (2023): 66–72. http://dx.doi.org/10.26562/ijiris.2023.v0903.03.

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With the increasing adoption of cloud computing, ensuring high availability and fault tolerance has become paramount for organizations. Amazon Web Services (AWS) offers a robust infrastructure for hosting applications, but it requires careful architectural design and implementation to achieve desired levels of availability and fault tolerance. This research paper explores two innovative concepts, namely Cloud Fractal and Decentralized Replication and Orchestration, and their application in achieving high availability and fault tolerance in AWS. We present a comprehensive analysis of these conc

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G.S, Hari Priya, Janani P.R, and J. Nagavardhan Reddy. "Exploring AWS S3: In-Depth Analysis of Bucket Management." Journal of Sensor and Cloud Computing 1, no. 2 (2024): 1–5. http://dx.doi.org/10.46610/joscc.2024.v01i02.001.

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Amazon Simple Storage Service (S3) is a cornerstone in modern data management strategies with in Amazon Web Services (AWS). It is pivotal in providing scalable, durable, and accessible object storage infrastructure. A key advantage of S3 is its scalability, enabling seamless storage capacity expansion without upfront investments or provisioning delays. This flexibility empowers organizations to accommodate dynamic data growth while maintaining operational agility, which is crucial in today's rapidly evolving digital landscape. S3's exceptional durability, boasting an impressive 99.999999999% r

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AMIRTHARAJ, SELVAMOHAN, and NACHIAPPAN RATHINA PRABHA. "CLOUD SERVICE AND SCADA-BASED WEB APPLICATION FOR MONITORING RENEWABLE ENERGY SYSTEMS." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 70, no. 1 (2025): 57–62. https://doi.org/10.59277/rrst-ee.2025.1.10.

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A renewable energy monitoring web application to track, monitor, and analyze the performance of renewable energy systems such as wind is presented in this paper. The main goal of this application is to provide users with real-time information on the energy production and consumption of their renewable energy systems. The application is meant to provide meaningful and easy-to-understand data visualization to users. This requires the application to have appropriate graphs, charts, and tables to help users quickly analyze the data. The application uses supervisory control and data acquisition (SC

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Knežević, Mia. "PREPOZNAVANJE TEKSTA POMOĆU KOGNITIVNIH SERVISA U AMAZON VEB SERVISIMA." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 38, no. 09 (2023): 1137–40. http://dx.doi.org/10.24867/24be14knezevic.

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Ovaj rad se zasniva na istraživanju upotrebe mašinskog učenja za prepoznavanje i ekstrakciju teksta i podataka iz setova dokumenata u različitim formatima, koji sadrže slike tekstova napisanih rukom ili na različitim jezicima, štampanim slovima u digitalnom formatu. Istraživanje je fokusirano na upotrebu Amazon Textract-a, kognitivnog servisa koji pružaju Amazon veb servisi, za automatsku obradu dokumenata. Cilj istraživanja jeste da se upotrebom različitih ulaza prikupe rezultati koji će se iskoristiti za testiranje i analiziranje tačnosti prepoznavanja teksta i performansi obrade dokumenata

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García-Ruiz, Sonia, Regina Hertfelder Reynolds, Melissa Grant-Peters, et al. "aws-s3-integrity-check: an open-source bash tool to verify the integrity of a dataset stored on Amazon S3." Gigabyte 2023 (August 22, 2023): 1–15. http://dx.doi.org/10.46471/gigabyte.87.

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Amazon Simple Storage Service (Amazon S3) is a widely used platform for storing large biomedical datasets. Unintended data alterations can occur during data writing and transmission, altering the original content and generating unexpected results. However, no open-source and easy-to-use tool exists to verify end-to-end data integrity. Here, we present aws-s3-integrity-check, a user-friendly, lightweight, and reliable bash tool to verify the integrity of a dataset stored in an Amazon S3 bucket. Using this tool, we only needed ∼114 min to verify the integrity of 1,045 records ranging between 5 b

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Bello, Rotimi-Williams, Pius A. Owolawi, Etienne A. Van Wyk, and Chunling Tu. "Architecture for detecting advertisement types." International Journal of Innovative Research and Scientific Studies 8, no. 1 (2025): 1725–32. https://doi.org/10.53894/ijirss.v8i1.4772.

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Businesses often encounter difficulties in accurately categorizing advertisements based on their content, which leads to inefficiencies in targeted marketing and data analysis. An automated system is needed to detect the type of advertisement (e.g., food, beverage, clothing, etc.) from the submitted text. This paper aims to develop an automated system leveraging Amazon Web Services (AWS) to categorize advertisement types based on text input. We employed Convolutional Neural Networks (CNNs) in developing the automated system due to the significant performance of CNNs leveraging AWS. The solutio

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Yu, Ellen, Aparna Bhaskaran, Shang-Lin Chen, Zachary E. Ross, Egill Hauksson, and Robert W. Clayton. "Southern California Earthquake Data Now Available in the AWS Cloud." Seismological Research Letters 92, no. 5 (2021): 3238–47. http://dx.doi.org/10.1785/0220210039.

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Abstract The Southern California Earthquake Data Center is hosting its earthquake catalog and seismic waveform archive in the Amazon Web Services (AWS) Open Dataset Program (s3://scedc-pds; us-west-2 region). The cloud dataset’s high data availability and scalability facilitate research that uses large volumes of data and computationally intensive processing. We describe the data archive and our rationale for the formats and data organization. We provide two simple examples to show how storing the data in AWS Simple Storage Service can benefit the analysis of large datasets. We share usage sta

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Pandis, Ippokratis. "The evolution of Amazon redshift." Proceedings of the VLDB Endowment 14, no. 12 (2021): 3162–74. http://dx.doi.org/10.14778/3476311.3476391.

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In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift [7], the first fully managed, petabyte-scale enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. This launch was a significant leap from the traditional on-premise data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Customers embraced Amazon Redshift and it became the fastest growing service in AWS. Tod

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Gowan, Taylor A., John D. Horel, Alexander A. Jacques, and Adair Kovac. "Using Cloud Computing to Analyze Model Output Archived in Zarr Format." Journal of Atmospheric and Oceanic Technology 39, no. 4 (2022): 449–62. http://dx.doi.org/10.1175/jtech-d-21-0106.1.

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Abstract Numerical weather prediction centers rely on the Gridded Binary Second Edition (GRIB2) file format to efficiently compress and disseminate model output as two-dimensional grids. User processing time and storage requirements are high if many GRIB2 files with size O(100 MB, where B = bytes) need to be accessed routinely. We illustrate one approach to overcome such bottlenecks by reformatting GRIB2 model output from the High-Resolution Rapid Refresh (HRRR) model of the National Centers for Environmental Prediction to a cloud-optimized storage type, Zarr. Archives of the original HRRR GRI

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Anggraini, Nova, Bagus Adhi Kusuma, Pungkas Subarkah, Fandy Setyo Utomo, and Nandang Hermanto. "Classification of Rice Plant Disease Image Using Convolutional Neural Network (CNN) Algorithm based on Amazon Web Service (AWS)." Building of Informatics, Technology and Science (BITS) 6, no. 3 (2024): 1293–300. https://doi.org/10.47065/bits.v6i3.5883.

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− In agriculture, rice plays an important role in the Indonesian economy. Rice produces rice, one of the most widely consumed staple food sources in Indonesia. Many factors can cause rice production failure, one of which is leaf pests and diseases. Therefore, early identification and management of plant diseases is an important step in an effort to increase crop yields and ensure food safety. One way to detect rice leaf images early is to perform an image classification process and create a web-based application. The method that has the ability in image processing is deep learning technique wi

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Bai, Jinbing, Ileen Jhaney, and Jessica Wells. "Developing a Reproducible Microbiome Data Analysis Pipeline Using the Amazon Web Services Cloud for a Cancer Research Group: Proof-of-Concept Study." JMIR Medical Informatics 7, no. 4 (2019): e14667. http://dx.doi.org/10.2196/14667.

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Background Cloud computing for microbiome data sets can significantly increase working efficiencies and expedite the translation of research findings into clinical practice. The Amazon Web Services (AWS) cloud provides an invaluable option for microbiome data storage, computation, and analysis. Objective The goals of this study were to develop a microbiome data analysis pipeline by using AWS cloud and to conduct a proof-of-concept test for microbiome data storage, processing, and analysis. Methods A multidisciplinary team was formed to develop and test a reproducible microbiome data analysis p

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Mahalingam, Hemalatha, Padmapriya Velupillai Meikandan, Karuppuswamy Thenmozhi, et al. "Neural Attractor-Based Adaptive Key Generator with DNA-Coded Security and Privacy Framework for Multimedia Data in Cloud Environments." Mathematics 11, no. 8 (2023): 1769. http://dx.doi.org/10.3390/math11081769.

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Cloud services offer doctors and data scientists access to medical data from multiple locations using different devices (laptops, desktops, tablets, smartphones, etc.). Therefore, cyber threats to medical data at rest, in transit and when used by applications need to be pinpointed and prevented preemptively through a host of proven cryptographical solutions. The presented work integrates adaptive key generation, neural-based confusion and non-XOR, namely DNA diffusion, which offers a more extensive and unique key, adaptive confusion and unpredictable diffusion algorithm. Only authenticated use

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Vignolo, Sofia, Joann Diray-Arce, Kerry McEnaney, Shun Rao, EPIC-HIPC Consortium, and Al Ozonoff. "A cloud-based bioinformatic and analytic infrastructure for the Expanded Program on Immunization Consortium." Journal of Immunology 204, no. 1_Supplement (2020): 159.40. http://dx.doi.org/10.4049/jimmunol.204.supp.159.40.

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Abstract The overarching goal of the Expanded Program for Immunization Consortium - Human Immunology Project Consortium (EPIC-HIPC) is to identify and characterize vaccine-induced neonatal responses and define biomarkers that may predict immunogenicity. Key to this effort is the establishment of the Data Management Core (DMC) to provide reliable clinical data and bioinformatic infrastructure for centralized curation, storage, and analysis of multiple deidentified ‘omics datasets. The DMC established a cloud-based platform to track, store, and share data according to set standards using Amazon

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Tasnim, Rehnuma, Afrin Akter Mim, Salman Hasan Mim, and Md Ismail Jabiullah. "A Comparative Study on Three Selective Cloud Providers." International Journal on Cybernetics & Informatics 11, no. 4 (2022): 167–78. http://dx.doi.org/10.5121/ijci.2022.110413.

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Cloud Computing means a place where we can store our valuable information of data and access the computing and networking services following the pay-as-you-go method without a physical environment. In the present day, cloud computing offers us powerful computing and storage, high availability and security, instant accessibility and adaptation, guaranteed scalability and interoperability, and cost and time effectiveness. Cloud computing has three platforms (IaaS, PaaS, SaaS) with exclusive features which assure to make easy their work for a client, Organization or Trade to build up any kind of

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Ahmed Abdulsaheb, Jaafar, and Dheyaa Jasim Kadhim. "Real-Time SLAM Mobile Robot and Navigation Based on Cloud-Based Implementation." Journal of Robotics 2023 (March 29, 2023): 1–17. http://dx.doi.org/10.1155/2023/9967236.

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This study investigates the feasibility of a mobile robot navigating and discovering its location in unknown environments, followed by the creation of maps of these navigated environments for future use. First, a real mobile robot named TurtleBot3 Burger was used to achieve the simultaneous localization and mapping (SLAM) technique for a complex environment with 12 obstacles of different sizes based on the Rviz library, which is built on the robot operating system (ROS) booted in Linux. It is possible to control the robot and perform this process remotely by using an Amazon Elastic Compute Clo

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Joodi, Mohanad Azeez, Muna Hadi Saleh, and Dheya Jassim Khadhim. "Proposed Face Detection Classification Model Based on Amazon Web Services Cloud (AWS)." Journal of Engineering 29, no. 4 (2023): 176–206. http://dx.doi.org/10.31026/j.eng.2023.04.12.

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One of the most important features of the Amazon Web Services (AWS) cloud is that the program can be run and accessed from any location. You can access and monitor the result of the program from any location, saving many images and allowing for faster computation. This work proposes a face detection classification model based on AWS cloud aiming to classify the faces into two classes: a non-permission class, and a permission class, by training the real data set collected from our cameras. The proposed Convolutional Neural Network (CNN) cloud-based system was used to share computational resourc

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Frank Kiven B. Ablao, Thelma D. Palaoag. "AI-Driven Collaborative Cybersecurity Development: A Prototype Implementation of a Cybersecurity Framework for Educational Institutions of Camarines Norte." Journal of Information Systems Engineering and Management 10, no. 33s (2025): 317–25. https://doi.org/10.52783/jisem.v10i33s.5534.

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Cyber threats targeting educational institutions have become increasingly sophisticated, requiring proactive detection and rapid response measures. This study presents an integrated framework that combines an AI-driven threat detection system with the Malware Information Sharing Platform (MISP) to enhance cyber defenses in school networks. Leveraging a Design Science Research methodology, the project unfolds across four phases: system design and architecture, prototype implementation, pilot testing, and evaluation. In the system design phase, requirements were gathered to develop an end-to-end

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Barisits, Martin, Robert Barnsley, Fernando Harald Barreiro Megino, et al. "Extending Rucio with modern cloud storage support." EPJ Web of Conferences 295 (2024): 01030. http://dx.doi.org/10.1051/epjconf/202429501030.

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Rucio is a software framework designed to facilitate scientific collaborations in efficiently organising, managing, and accessing extensive volumes of data through customizable policies. The framework enables data distribution across globally distributed locations and heterogeneous data centres, integrating various storage and network technologies into a unified federated entity. Rucio offers advanced features like distributed data recovery and adaptive replication, and it exhibits high scalability, modularity, and extensibility. Originally developed to meet the requirements of the high-energy

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Manthiramoorthy, Chinnadurai, K. Mohamed Sayeed Khan, and Noorul Ameen A. "Comparing Several Encrypted Cloud Storage Platforms." International Journal of Mathematics, Statistics, and Computer Science 2 (August 6, 2023): 44–62. http://dx.doi.org/10.59543/ijmscs.v2i.7971.

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Cloud services and cryptographic cloud storage systems have gained popularity in recent years due to their availability and accessibility. The present systems are nonetheless still ineffectual. They are the best since they demand a lot of trust from the user or the provider. To ensure they are not violating any End-User License Agreement (EULA) clauses, providers typically keep the ability to examine the files that have been saved, and some even keep the ability to share the data. It is simple to create a copy of every piece of data when a provider has access to go through it, which is conside

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Lee, Seung-Hyun, Sung-Hyun Oh, and Jeong-Gon Kim. "YOLOv5-Based Electric Scooter Crackdown Platform." Applied Sciences 15, no. 6 (2025): 3112. https://doi.org/10.3390/app15063112.

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As the use of personal mobility (PM) devices continues to rise, regulatory violations have become more frequent, highlighting the need for technological solutions to ensure efficient enforcement. This study addresses these challenges by proposing an AI-based enforcement platform. The system integrates the You Only Look Once version 5 (YOLOv5) object detection model, a deep-learning-based framework, with Global Positioning System (GPS) location data, Raspberry Pi 5, and Amazon Web Services (AWS) for data processing and web-based implementation. The YOLOv5 model was deployed in two configuration

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Li, Guozhang, Rayner Alfred, Yetong Wang, and Kongduo Xing. "Distributed computing and storage strategy for massive high resolution image data." Intelligent Decision Technologies 18, no. 4 (2024): 2901–13. https://doi.org/10.3233/idt-230231.

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With the continuous development of science and technology, it has become possible to acquire and process massive high-resolution image data. The amount of high-resolution image data is huge, and the traditional single-machine computing and processing methods may become inefficient, which is difficult to meet the needs of real-time or large-scale data processing. This article selected a high resolution satellite remote sensing image from the Landsat dataset for processing. Gaussian filtering was used to denoise the image, followed by K-means algorithm for image segmentation. The image data was

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Saxena, Mohit, Benjamin Sowell, Daiyan Alamgir, et al. "The Story of AWS Glue." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3557–69. http://dx.doi.org/10.14778/3611540.3611547.

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AWS Glue is Amazon's serverless data integration cloud service that makes it simple and cost effective to extract, clean, enrich, load, and organize data. Originally launched in August 2017, AWS Glue began as an extract-transform-load (ETL) service designed to relieve developers and data engineers of the undifferentiated heavy lifting needed to load databases, data warehouses, and build data lakes on Amazon S3. Since then, it has evolved to serve a larger audience including ETL specialists and data scientists, and includes a broader suite of data integration capabilities. Today, hundreds of th

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Gayathri, Rajakumaran, Shola Usharani, Miroslav Mahdal, et al. "Detection and Mitigation of IoT-Based Attacks Using SNMP and Moving Target Defense Techniques." Sensors 23, no. 3 (2023): 1708. http://dx.doi.org/10.3390/s23031708.

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This paper proposes a solution for ensuring the security of IoT devices in the cloud environment by protecting against distributed denial-of-service (DDoS) and false data injection attacks. The proposed solution is based on the integration of simple network management protocol (SNMP), Kullback–Leibler distance (KLD), access control rules (ACL), and moving target defense (MTD) techniques. The SNMP and KLD techniques are used to detect DDoS and false data sharing attacks, while the ACL and MTD techniques are applied to mitigate these attacks by hardening the target and reducing the attack surfac

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Ramasamy Reddy, Viswanathan, Sukham Romen Singh, Elangovan Guruva Reddy, E. Punarselvam E. Punarselvam, and T. Vengatesh T. Vengatesh. "AI-Driven Enhancement of Spam Detection in SMS and Email Using AWS Leveraging Deep Spam Model." Journal of Neonatal Surgery 14, no. 15S (2025): 1458–68. https://doi.org/10.63682/jns.v14i15s.3865.

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This study proposes a revolutionary strategy to enhance spam detection in SMS and email communications by integrating the powerful AWS cloud architecture with cutting- edge artificial intelligence (AI) approaches. The project seeks to produce a highly effective system that can discriminate between incoming messages that are spam and those that are legitimate (ham) by utilizing machine learning models that were created on the customized Amazon Sage Maker platform. The solution is deliberately developed and incorporates crucial pieces including AWS Lambda functions, Simple Email Service (SES), S

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Jensen, Travis L., Michael Frasketi, Kevin Conway, et al. "RSEQREP: RNA-Seq Reports, an open-source cloud-enabled framework for reproducible RNA-Seq data processing, analysis, and result reporting." F1000Research 6 (December 21, 2017): 2162. http://dx.doi.org/10.12688/f1000research.13049.1.

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RNA-Seq is increasingly being used to measure human RNA expression on a genome-wide scale. Expression profiles can be interrogated to identify and functionally characterize treatment-responsive genes. Ultimately, such controlled studies promise to reveal insights into molecular mechanisms of treatment effects, identify biomarkers, and realize personalized medicine. RNA-Seq Reports (RSEQREP) is a new open-source cloud-enabled framework that allows users to execute start-to-end gene-level RNA-Seq analysis on a preconfigured RSEQREP Amazon Virtual Machine Image (AMI) hosted by AWS or on their own

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Jensen, Travis L., Michael Frasketi, Kevin Conway, et al. "RSEQREP: RNA-Seq Reports, an open-source cloud-enabled framework for reproducible RNA-Seq data processing, analysis, and result reporting." F1000Research 6 (April 13, 2018): 2162. http://dx.doi.org/10.12688/f1000research.13049.2.

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RNA-Seq is increasingly being used to measure human RNA expression on a genome-wide scale. Expression profiles can be interrogated to identify and functionally characterize treatment-responsive genes. Ultimately, such controlled studies promise to reveal insights into molecular mechanisms of treatment effects, identify biomarkers, and realize personalized medicine. RNA-Seq Reports (RSEQREP) is a new open-source cloud-enabled framework that allows users to execute start-to-end gene-level RNA-Seq analysis on a preconfigured RSEQREP Amazon Virtual Machine Image (AMI) hosted by AWS or on their own

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Gerbracht, Jeff, and Steve Kelling. "Best Practices for using Cloud Services for Digital Data Archive and Disaster Recovery." Biodiversity Information Science and Standards 2 (May 22, 2018): e25812. https://doi.org/10.3897/biss.2.25812.

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Managing digital data for long-term archival and disaster recovery is a key component of our collective responsibility in managing digital data and metadata. As more and more data are collected digitally and as the metadata for traditional museum collections becomes both digitized and more comprehensive, the need to ensure that these data are safe and accessible in the long term becomes essential. Unfortunately, disasters do occur and many irreplaceable datasets on biodiversity have been permanently lost. Maintaining a long-term archive and putting in place reliable disaster recovery processes

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Sudip, Chakraborty, and S. Aithal P. "Let Us Create An IoT Inside the AWS Cloud." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 7, no. 1 (2023): 211–19. https://doi.org/10.5281/zenodo.7726980.

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<strong>Purpose: </strong><em>The Internet of Things (IoT) has become essential to modern technological advancements, with various industries leveraging its capabilities. One of the significant challenges of IoT implementation is the storage, processing, and analysis of the vast amounts of data generated. AWS is a popular platform for IoT operation. This paper proposes using Amazon Web Services (AWS) as a cloud computing platform for IoT applications. By leveraging AWS's robust infrastructure, scalability, and cost-effectiveness, IoT developers can focus on creating innovative applications

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Gerbracht, Jeff, and Steve Kelling. "Best Practices for using Cloud Services for Digital Data Archive and Disaster Recovery." Biodiversity Information Science and Standards 2 (May 22, 2018): e25812. http://dx.doi.org/10.3897/biss.2.25812.

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Managing digital data for long-term archival and disaster recovery is a key component of our collective responsibility in managing digital data and metadata. As more and more data are collected digitally and as the metadata for traditional museum collections becomes both digitized and more comprehensive, the need to ensure that these data are safe and accessible in the long term becomes essential. Unfortunately, disasters do occur and many irreplaceable datasets on biodiversity have been permanently lost. Maintaining a long-term archive and putting in place reliable disaster recovery processes

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Anila, Gogineni. "Building a Scalable and Integrated Event-Driven Processing Framework Using AWS Lambda for Real-Time Data Applications." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 5 (2020): 1–9. https://doi.org/10.5281/zenodo.14881005.

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This paper presents a framework based on AWS Lambda for constructing a large-scale and fully integrated event processing system targeted for real time data. The framework also meets the major issues in today’s specialized data architecture such as scalability, low-latency operation, and cost. The proposed architecture of the solution effectively minimizes the operational complexity, infrastructure control, and scale absurdity with the help of AWS Lambda. The design fully aligns with other AWS services including amazon S3, DynamoDB, and EventBridge to create a strong and integrated ecosys

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Daher, Zouheir, and Hassan Hajjdiab. "Cloud Storage Comparative Analysis Amazon Simple Storage vs. Microsoft Azure Blob Storage." International Journal of Machine Learning and Computing 8, no. 1 (2018): 85–89. http://dx.doi.org/10.18178/ijmlc.2018.8.1.668.

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Priyadarshini, P., and T. Veeramanju K. "A Systematic Review of Cloud Storage Services- A Case Study on Amazon Web Services." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 6, no. 2 (2022): 124–40. https://doi.org/10.5281/zenodo.7033671.

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<strong>Background/Purpose</strong>: <em>Cloud computing is the buzz word today as it has made its presence felt in many fields, such as business, education, industries, e-commerce to list a few. The concept of cloud storage is the IT service provided on the internet which allows the flexibility of paying for only the actual usage that is in short it is pay as you go. The companies now have the option to rent computing power, storage, and databases from the service provider. This avoids huge financial investment for procuring, operating, and maintaining licensed software, physical data centers

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SujataC., Papade. "Customized BOT for Educational Institution." International Journal of Innovative Science and Research Technology 8, no. 1 (2023): 1021–23. https://doi.org/10.5281/zenodo.7599142.

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As the world is suffering from covid-19 due to which the pandemic has stopped day to day activities of students such as college admission inquiries, academic details, placement cell details, etc. by considering this problem, ”Customized bot for educational Institution”, is to be developed. The main objective of the system is to provide a facility for communicating with the end-user and the information which the user wants to access. The Methodology that can be used to develop the system is Amazon Lex is a service for designing chatty interfaces, [1]An Amazon web services Lambda nam

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Partyka, Andrii, Olha Mykhaylova, and Stanislav Shpak. "DETECTION, ANALYSIS AND PROTECTION OF CONFIDENTIAL DATA USING AMAZON MACIE MACHINE LEARNING TECHNOLOGY." Cybersecurity: Education, Science, Technique 3, no. 23 (2024): 132–44. http://dx.doi.org/10.28925/2663-4023.2024.23.132144.

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Over the past decades, the field of data storage and processing has undergone significant changes and expansion, especially with the advent of cloud technologies and computing. Cloud services enable organizations to store and access large amounts of data through distributed systems. However, along with these new opportunities come new challenges, particularly in the area of protecting confidential data. Protecting sensitive data is an extremely important task for today's organizations, especially in the face of a growing number of digital threats and security breaches. In order to ensure relia

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Amar, More1 and Sarang Joshi2. "PRIVACY PRESERVATION ALGORITHM USING EFFECTIVE DATA LOOKUP ORGANIZATION FOR STORAGE CLOUDS." International Journal on Cloud Computing: Services and Architecture(IJCCSA) 2, August (2018): 01–13. https://doi.org/10.5281/zenodo.1438586.

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In the era of cloud computing, many cloud service providers like Amazon, Microsoft, Google, etc are offering cloud storage as a service. We can migrate our data to the storage offered by them and can retrieve it back at any point of time or can share it with other people by making it available publicly thought Internet. Since the size of the data stored in storage clouds could be very huge, searching and retrieving a desired data by maintaining its privacy is one of the important issues. In this paper, we present a new data storage organization for storage clouds which would be helpful for fas

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Chang, Jeffrey. "A Framework for Analysing the Impact of Cloud Computing on Local Government in the UK." International Journal of Cloud Applications and Computing 1, no. 4 (2011): 25–33. http://dx.doi.org/10.4018/ijcac.2011100102.

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Cloud computing is hailed as the next-revolution of computing services. Although there is no precise definition, cloud computing refers to a scalable network infrastructure where consumers receive IT services such as software and data storage through the Internet like a utility on a subscription basis. With an increasing number of data centres hosted by large companies such as Amazon, Google, and Microsoft cloud computing offers potential benefits including cost savings, simpler IT, and reduced energy consumption. Central government and local authorities, like commercial organisations, are con

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Nedosnovanyi, O. Y., O. I. Cherniak, and V. V. Golinko. "COMPARATIVE ANALYSIS OF CLOUD SERVICES FOR GEOINFORMATION DATA PROCESSING." Information technology and computer engineering 57, no. 2 (2023): 50–57. http://dx.doi.org/10.31649/1999-9941-2023-57-2-50-57.

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The article is devoted to a comparative analysis of cloud services for processing geographic data. It describes in detail the services - Google Cloud, Amazon Web Services and Microsoft Azure - that provide tools for storing, processing and analyzing large amounts of geographic data. The article also describes the parameters of geoinformation services, the access algorithm, and examples of program code for processing satellite data. The article describes such opportunities and limitations of using cloud services as automation, security and scalability. The conclusions and recommendations for fu

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Taha, Hatem, Noura Aknin, and Kamal Eddin El kadiri. "A Novel Model of Data Storage Service in the Architecture Cloud Storage." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 07 (2019): 66. http://dx.doi.org/10.3991/ijoe.v15i07.10094.

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Cloud storage is the lower layer of the cloud computing system that supports other layers above it. Up to now the likes of Google, Microsoft, IBM, Amazon have been providing cloud storage services. Since it’s efficient way to store and manage important data, the offer of free storage attracts researchers. As a result, cloud storage research will not only track trends, but will also have high application value. Therefore, this paper, introduces a novel model of data storage and backup in cloud storage, that optimally combines customer storage resources with service providers, so that redundancy

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Suyog, Bankar. "Cloud Computing Using Amazon Web Services AWS." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 2156–57. https://doi.org/10.31142/ijtsrd14583.

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Cloud computing is becoming an increasingly popular enterprise model in which computing resources are made available on demand to the user as needed. The unique value proposition of cloud computing creates new opportunities to align IT and business goals. Cloud computing use the internet technologies for delivery of IT Enabled capabilities 'as a service' to any needed users i.e. through cloud computing we can access anything that we want from anywhere to any computer without worrying about anything like about their storage, cost, management and so on. In here we will study about 'A

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Mohit, Thodupunuri. "Migration of On-Premise Databases to Amazon RDS – Challenges and Solutions." Journal of Scientific and Engineering Research 9, no. 11 (2022): 358–63. https://doi.org/10.5281/zenodo.15223062.

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Migrating on-premises databases to Amazon Relational Database Service (RDS) offers organizations benefits such as enhanced scalability, automated maintenance, and managed infrastructure. Key features of Amazon RDS include Multi-AZ deployments, read replicas, and integration with AWS Identity and Access Management (IAM). These features reduce operational overhead through automated patching and elastic storage scaling. However, challenges such as schema incompatibility, network latency, transactional consistency during cutover, and security policy alignment can arise during migration. Compared t

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Hsu, Li Fu. "Key Technologies of Cloud Computing Model." Advanced Materials Research 765-767 (September 2013): 972–74. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.972.

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Could computing is a new type of computing mode, it distributes computation task on the resource pool which consists of massive computers, so the application systems can obtain the computation power, the storage space and software service according to its demand. The understanding of cloud computing is developing and changing constantly, cloud computing still has no unanimous definition. This paper describes three main service forms of cloud computing: SAAS, PAAS, IAAS, compared the definition of cloud computing which is given by Google, Amazon, IBM and other companies, summarized the basic ch

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Kim, Beom-Heyn, and Young Yoon. "Cloud Storage Service Architecture Providing the Eventually Consistent Totally Ordered Commit History of Distributed Key-Value Stores for Data Consistency Verification." Electronics 10, no. 21 (2021): 2702. http://dx.doi.org/10.3390/electronics10212702.

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Cloud storage services are one of the most popular cloud computing service types these days. Various cloud storage services such as Amazon S3, DropBox, Google Drive, and Microsoft OneDrive currently support billions of users. Nevertheless, data consistency of the underlying distributed key-value store of cloud storage services remains a serious concern, making potential customers of cloud services hesitate to migrate their data to the cloud. Researchers have explored how to allow clients to verify the behavior of untrusted cloud storage services with respect to consistency models. However, pre

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de Linage, C., J. S. Famiglietti, and J. T. Randerson. "Forecasting terrestrial water storage changes in the Amazon Basin using Atlantic and Pacific sea surface temperatures." Hydrology and Earth System Sciences Discussions 10, no. 10 (2013): 12453–83. http://dx.doi.org/10.5194/hessd-10-12453-2013.

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Abstract. Floods and droughts frequently affect the Amazon River basin, impacting transportation, river navigation, agriculture, and ecosystem processes within several South American countries. Here we examined how sea surface temperatures (SSTs) influence interannual variability of terrestrial water storage anomalies (TWSAs) in different regions within the Amazon basin and propose a modeling framework for inter-seasonal flood and drought forecasting. Three simple statistical models forced by a linear combination of lagged spatial averages of central Pacific (Niño 4 index) and tropical North A

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Varri, Uma Sankararao. "Privacy-Preserving Ciphertext-Policy Attribute-Based Search over Encrypted Data in Cloud Storage." Journal of Computer Science and Technology 23, no. 1 (2023): e07. http://dx.doi.org/10.24215/16666038.23.e07.

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Cloud storage is one of the cloud computing services which allows data users to store their data remotely to the cloud. Thus, most individuals, institutions, and organizations are outsourcing their data to the cloud. Most popular cloud-based storage services are Amazon S3, Google Drive, Microsoft Azure, Apple iCloud, Dropbox, etc. Cloud storage service brings significant benefits to data owners, say, (1) reducing capital and management costs (2) reducing cloud users’ burden of storage management and equipment maintenance, (3) avoiding investing a large amount of hardware, (4) accessing data ov

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