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Articoli di riviste sul tema "AWS Lamda"

Autore: Grafiati

Pubblicato: 7 giugno 2025

Ultima modifica: 2 agosto 2025

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1

Singu, Santosh Kumar. "Serverless_Data_Engineering_Unlocking_Efficiency_and_Scalability_in_Cloud-Native_Architectures." Journal of Artificial Intelligence Research and Applications 3, no. 1 (2023): 1010–48. https://doi.org/10.5281/zenodo.15383123.

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The advent of serverless computing has marked a significant evolution in cloud-native dataengineering, enabling organizations to efficiently scale data pipelines while mitigating thecomplexities associated with infrastructure management. This paper delves into thetransformative potential of serverless architectures in data processing, focusing on theirapplication to extract, transform, and load (ETL) workflows, real-time data streaming, andmachine learning pipelines. We examine key serverless frameworks such as AWS Lambda,Google Cloud Functions, and Azure Functions, which have become integral

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D G, Meena, Sai Meghana, Vudugundla Teja, and Dr Mamatha C M. "S3 Event Notification using AWS Lambda." International Journal of Research Publication and Reviews 6, no. 5 (2025): 6568–70. https://doi.org/10.55248/gengpi.6.0525.1785.

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Yurievich, Maksimov Viacheslav. "Startup Latency Analysis in Java Frameworks for Serverless AWS Lambda Deployments." American Journal of Engineering and Technology 07, no. 04 (2025): 16–21. https://doi.org/10.37547/tajet/volume07issue04-03.

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Cold start latency in serverless computing, particularly in Java-based AWS Lambda functions, presents a significant challenge for latency-sensitive applications. This study investigates the performance characteristics of three modern Java frameworks - Spring Boot, Micronaut, and Quarkus - deployed on AWS Lambda using the ARM64 (Graviton2) architecture. It evaluates cold start latency across three deployment configurations: managed runtime (with and without SnapStart) and GraalVM native images. Metrics were collected at varying memory allocations using Java 21. Results show that Quarkus consist

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Sudip, Chakraborty, and S. Aithal P. "Let Us Create A Lambda Function for Our IoT Device In The AWS Cloud Using C#." International Journal of Management, Technology, and Social Sciences (IJMTS) 8, no. 2 (2023): 145–55. https://doi.org/10.5281/zenodo.7995727.

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<strong>Purpose: </strong><em>This research paper explores the process of creating a Lambda function for an IoT device in the AWS cloud using C#. It provides a comprehensive guide to the steps involved in building a Lambda function, including setting up the AWS environment, creating the Function using C#, and deploying it to the cloud. Additionally, the paper will discuss the benefits of using Lambda functions for IoT devices, such as cost-effectiveness and scalability. It will provide examples of real-world use cases for this technology. By the end of this paper, readers will clearly understa

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Sai Sindhu, Reddyvari. "Serverless Bookstore Application Using AWS." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46406.

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Abstract— Recently, cloud computing has become a main standard for effective management and Internet services. Within a variety of cloud technology, without server calculation, it is distinguished from the evolution of cloud programming and reflects the range and growth of the cloud. Large Internet companies such as Amazon, Netflix, and LinkedIn are now using the cloud to develop, test, deploy, scale, operate, and update complex, multi-stage applications. Despite the flexibility and scalability, these companies face challenges in managing infrastructure costs due to increasing server load and

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Sasmal, Shubhodip. "Exploring Usage of AWS Lambda in Data Processing." Feb-Mar 2024, no. 42 (February 1, 2024): 35–42. http://dx.doi.org/10.55529/ijitc.42.35.42.

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Cloud computing is changing game all around the industry. It’s delivering computing resources, such as storage, processing power without investing in and managing physical infrastructure, offering a more flexible and cost-effective approach to meet computational demands. Serverless computing is a cloud computing execution model where cloud providers automatically manage the infrastructure needed to run applications and scale. This paper examines use of AWS Lambda in Data processing, the leading serverless computing service of Amazon Web Services (AWS). Our study will explore the architecture,

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Shashank Srivastava, Et al. "Execution of Serverless Functions Lambda in AWS Serverless Environment." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 1081–86. http://dx.doi.org/10.17762/ijritcc.v11i9.9014.

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Serverless computing, epitomized by AWS Lambda, has revolutionized application development and deployment by abstracting away server management and offering auto-scalability. AWS Lambda's 15-minute maximum timeout for function execution, however, presents a unique challenge for users aiming to process longer tasks within the serverless framework. In this paper, we dive deep into the execution dynamics of AWS Lambda within the AWS serverless environment, with a particular focus on extended execution times. As serverless computing gains traction, understanding the nuances and limitations of AWS

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Chirumamilla, Sai Krishna. "Unleashing the Power of Serverless Computing: Elevating Software Engineering with AWS Lambda for Cost-Efficiency and Speed." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 05, no. 04 (2021): 1–7. https://doi.org/10.55041/ijsrem7621.

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Serverless computing is valuable for quite the opposite reason: it is a paradigm change in how software engineering can be done. One of the most popular serverless computing services provided by Amazon Web Services (AWS) is AWS Lambda, which provides a fundamentally new model that minimizes the cost and time needed to get things done. This paper explores AWS Lambda in view of responding to some of the challenges of SE and some of the key areas include scalability, managing infrastructure and developing software at a high velocity. Until recently, software developers were dependent on hardware

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Sai, Krishna Chirumamilla. "AWS Lambda Deep Dive: Writing Event-Driven, Scalable, and Cost-Effective Code without Managing Servers." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 10, no. 5 (2022): 1–18. https://doi.org/10.5281/zenodo.15107569.

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Serverless computing is one of the most disruptive models of application development and deployment. AWS Lambda can be considered one of the best platforms for developers to build applications without needing to use server hosting. This article focuses on explaining event features, scalability, and cost-effectiveness of AWS Lambda. In this article, we look at how Lambda functions behave when invoked in response to API Gateway events, S3 events, or a DynamoDB stream. By following a clearly described approach, we present an example of a serverless application and its evaluation as assessed by pe

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Kutsa, Diana. "Building a fully automated serverless deployment pipeline with Aws lambda, terraform, and github actions." American Journal of Engineering and Technology 7, no. 2 (2025): 30–36. https://doi.org/10.37547/tajet/volume07issue02-06.

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The paper discusses the process of building a fully automated pipeline for serverless deployment using AWS Lambda, Terraform and GitHub Actions. These technologies allow developers to create infrastructure without server management, manage it as code, and automate CI/CD processes. The article discusses the basic principles of using AWS Lambda to perform functions in a serverless architecture, Terraform for declarative infrastructure management, and GitHub Actions for automating the deployment process. The configuration steps are described, including creating and configuring IAM roles, connecti

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Tanneru, Bhargavi. "Serverless Computing With AWS Lambda: Evaluating Suitability and Scalability." Journal of Software Engineering and Simulation 10, no. 10 (2024): 71–73. https://doi.org/10.35629/3795-10107173.

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Serverless computing has transformed how developers create and deploy applications by removing the need for infrastructure management and allowing for automatic scaling. AWS Lambda, Amazon's Function-as-a-Service (FaaS) offering, exemplifies this paradigm by allowing code execution in response to events without server provisioning. This paper evaluates the suitability and scalability of AWS Lambda for various applications, analyzing its architecture, performance metrics, and practical use cases. Through a comprehensive examination, we aim to provide insights into when and how AWS Lambda can be

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Ritesh, Kumar. "Serverless Computing with AWS Lambda: Best Practices for Scalable Enterprise Applications." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 2 (2019): 1–13. https://doi.org/10.5281/zenodo.14900633.

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Serverless computing has transformed cloud application development by enabling organizations to build scalable, event-driven applications without managing infrastructure. AWS Lambda, a leading Function-as-a-Service (FaaS) platform, allows developers to run code in response to events while AWS handles provisioning, scaling, and execution. This paper presents best practices for event-driven applications using AWS Lambda, emphasizing performance optimization, security, cost efficiency, and observability. Key areas include cold start mitigation, concurrency management, IAM security, API Gateway in

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Pratap, Preksha. "Built Custom Alexa Skills using AWS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 02 (2024): 1–12. http://dx.doi.org/10.55041/ijsrem28522.

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Abstract:The creation of unique Alexa skills using the Amazon Web Services (AWS) infrastructure is the focus of this project. Alexa skills are voice- activated features that improve Alexa, the virtual assistant from Amazon, in terms of functionality. The project's main goal is to demonstrate the flexibility and adaptability of AWS in voice- activated interactions by developing custom skills that are suited to certain use cases or applications. During the development process, the bespoke Alexa skills are hosted and executed using AWS Lambda, an event-driven computing service. With AWS Lambda, c

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Balakrishna, Balasubrahmanya. "Decoding Lambda API Architectures: Analyzing Monolithic Lambda Functions Versus Fine-Grained Single-Purpose Functions." International Journal of Computing and Engineering 4, no. 2 (2023): 20–28. http://dx.doi.org/10.47941/ijce.1596.

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Purpose: With an emphasis on AWS Lambda specifically, this technical paper explores the trade-offs and architectural considerations between monolithic and single-purpose functions in server less computing systems. Methodology: By examining the effects of using either a monolithic approach or a precisely calibrated, single-purpose function design, we hope to empower developers and architects. We investigate in-depth aspects, including resource usage, application monitoring, scalability, and performance. The approach strongly emphasizes a thorough examination of AWS Lambda's architectural

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Dr. M. Jaithoon Bibi, Sharmila M, Vishnuraj R, and Madhumitha A.H. "Lambda Authorizer Benchmarking Tool with Aws Sam And Artillery Framework." International Journal of Engineering and Computer Science 13, no. 12 (2024): 26682–87. https://doi.org/10.18535/ijecs/v13i12.4940.

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This paper proposes a novel Lambda Authorizer Benchmarking Tool utilizing AWS Serverless Application Model (SAM) and Artillery framework. The tool evaluates the performance of serverless functions implementing Lambda Authorizers. We focus on three key performance parameters: cold start behaviour, programming language runtimes, and authorization types (e.g., token-based, claim-based). By employing load testing with Artillery, the tool measures the impact of these factors on authorization processing speed and resource consumption. The findings from the benchmarking experiments offer valuable ins

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Fath, Roland. "ICS/LABA/LAMA wirksamer als LABA/LAMA." MMW - Fortschritte der Medizin 160, no. 18 (2018): 69. http://dx.doi.org/10.1007/s15006-018-1035-6.

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Munari, U., and L. Tomasella. "High resolution spectroscopy over $\lambda\lambda$ 8500-8750 Å for GAIA." Astronomy and Astrophysics Supplement Series 137, no. 3 (1999): 521–28. http://dx.doi.org/10.1051/aas:1999490.

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Dachepally, Raju. "Real-Time Data Enrichment with AWS Lambda and DynamoDB." International Journal of Social Science Exceptional Research 3, no. 4 (2024): 80–82. https://doi.org/10.54660/ijsser.2024.3.4.80-82.

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In the era of big data and real-time analytics, organizations require efficient methods to enhance raw data streams with additional context before they are stored or analyzed. AWS Lambda and DynamoDB provide a serverless architecture for real-time data enrichment, allowing organizations to scale dynamically while reducing operational overhead. This paper explores the implementation of AWS Lambda and DynamoDB for real-time data enrichment, covering architecture, design patterns, security concerns, and cost optimization. We discuss the advantages of a serverless, event-driven approach for low-la

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Raju, Dachepally. "Building Real-Time Data Pipelines with AWS Kinesis and Lambda." International Journal of Leading Research Publication 3, no. 7 (2022): 1–5. https://doi.org/10.5281/zenodo.14787225.

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Real-time data pipelines enable organizations to process and analyze streaming data as it is generated. AWS Kinesis and Lambda provide a serverless framework that is scalable, cost-effective, and easy to deploy. This paper explores the architecture, implementation, and optimization of real-time data pipelines using AWS Kinesis and Lambda. Topics include shard management, event triggers, stream partitioning, and error handling. With examples, diagrams, and flowcharts, this paper aims to equip developers and architects with actionable insights for creating efficient real-time data systems.

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Karthik, Venkatesan, and Siddharth. "Optimizing Serverless Architectures for High-Throughput Systems Using AWS Lambda and DynamoDB." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 11 (2025): 3594–608. https://doi.org/10.5281/zenodo.14831444.

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As cloud computing continues to evolve, serverless architectures have gained significant traction due to their  scalability, cost-efficiency, and ease of deployment. This research focuses on optimizing serverless architectures for high- throughput systems, specifically leveraging AWS Lambda and DynamoDB. Serverless computing removes the need for  managing server infrastructure, allowing developers to focus on writing code while the cloud provider handles scaling, load balancing, and fault tolerance. AWS Lambda, combined with DynamoDB, provides an ideal environment for building applic

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Ashutosh, Tripathi. "AWS SERVERLESS MESSAGING USING SQS." International Journal of Innovative Research in Advanced Engineering 07, no. 11 (2020): 391–93. http://dx.doi.org/10.26562/ijirae.2020.v0711.003.

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In the dynamic and rapidly evolving realm of cloud computing, messaging stands as a pivotal element in constructing resilient and high-performing serverless applications. AWS offers a range of services facilitating seamless communication among various application components, including AWS Lambda, Simple Queue Service (SQS), and event-driven architectures. Within this detailed guide, we will delve into the diverse facets of messaging within AWS serverless environments, showcasing its capacity to empower developers in crafting scalable and robust applications.

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Rasmi A, Dr. "Serverless Application Deployment Using AWS Lambda and API Gateway." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48752.

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Abstract - Serverless computing is transforming the way applications are developed and deployed by abstracting the complexities of server management. This paper presents the design and implementation of a serverless application using AWS Lambda and API Gateway. The application demonstrates how cloud-native features like scalability, reduced operational overhead, and cost efficiency can be achieved through serverless architecture. The methodology focuses on event-driven function deployment, RESTful API exposure, and integration with AWS services such as DynamoDB. The paper includes system archi

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Chirumamilla, Sai Krishna. "The Serverless Revolution: Transforming Traditional Software Engineering with AWS Lambda and API Gateway." International Scientific Journal of Engineering and Management 02, no. 06 (2023): 1–7. https://doi.org/10.55041/isjem01211.

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Serverless computing has easily brought about changes in software engineering practices by reducing infrastructure requirements and bringing about flexibility. When integrated with API Gateway, AWS Lambda has led this shift towards the new standard of highly efficient, scalable and cost-effective software solutions. This paper compares serverless architecture, based on event-triggered computation and fine-grained functional service execution, with conventional server-intensive architectures. To identify the potential impact of the implementation of AWS Lambda and API Gateway in different secto

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Ashraf, Syed Ziaurrahman. "Building a Data Lake on AWS: From Data Migration to AI-Driven Insights." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem19620.

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As organizations generate and process increasing amounts of data, building data lakes on cloud platforms like AWS has become crucial to managing large datasets efficiently. This paper outlines the key steps in constructing a scalable data lake on AWS, starting from data migration to leveraging AI for insights. It explores how AWS services like S3, Glue, and SageMaker work together to facilitate data storage, transformation, and machine learning. In addition, it highlights the importance of orchestrating data pipelines with automation tools like AWS Lambda and Apache Airflow to ensure smooth, s

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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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Rohith, Varma Vegesna. "Developing a Microservices Architecture for Fuel Station Monitoring Systems Using AWS Lambda." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 4 (2020): 1–5. https://doi.org/10.5281/zenodo.14880923.

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Fuel station monitoring systems traditionally rely on monolithic software architectures that tie together multiple functionalitiesranging from dispenser data collection to Automated Tank Gauge (ATG). As the need for agile, scalable, and cost-effective solutions grows, leveraging a serverless, microservices-based architecture offers many benefits. This paper presents the design and implementation of a microservices architecture using AWS Lambda for fuel station monitoring, integrating continuous data from pumps, ATG sensors, and real-time analytics. Building on insights from previous research o

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Khanal, Dibya Darshan, and Sushil Maharjan. "Comparative Security and Compliance Analysis of Serverless Computing Platforms: AWS Lambda, Azure Functions, and Google Cloud Functions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 08 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem36979.

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Serverless computing has revolutionized cloud services by abstracting infrastructure management, enabling developers to focus on application logic. This research examines the security and compliance features of three major serverless platforms: AWS Lambda, Azure Functions, and Google Cloud Functions. By evaluating authentication mechanisms, data encryption practices, vulnerability management, and compliance certifications, we aim to provide a comparative analysis that informs businesses and developers on the most secure and compliant platform for their needs. Keywords: Serverless Computing, Se

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Prudhveer, Reddy Kankar. "Automated Cleanup of Unused AWS Cloud Formation Resources Using AWS Resource Tags and Lambda Functions." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 1 (2025): 2563–64. https://doi.org/10.5281/zenodo.14885967.

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The AWS cloud platform has experienced rapid growth due to its expanding features and support for on-demand access to compute, storage, networking, and virtualization. AWS CloudFormation is a service that enables developers and busi- nesses to create, provision, and manage a collection of related AWS and third-party resources in an orderly and predictable manner. AWS CodePipeline can be utilized to deploy AWS CloudFormation stacks, enhancing continuous integration and continuous delivery (CI/CD) capabilities. Companies often use multiple AWS accounts for different environments and deploy resou

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Arifin, Muh Awal, Ramdan Satra, Lukman Syafie, and Ahmad Mursyidun Nidhom. "Optimizing AWS lambda code execution time in amazon web services." Bulletin of Social Informatics Theory and Application 7, no. 1 (2023): 14–23. http://dx.doi.org/10.31763/businta.v7i1.609.

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One of the problems in providing infrastructure is the lack of interest in managing infrastructure. AWS Lambda is a FaaS (Function as a Service) service that allows users to run code automatically in an environment managed by Amazon Web Services. In this study, the method used is to collect data on code execution time at various input sizes, then perform an analysis of the factors that affect execution time. Furthermore, optimization is carried out by selecting the appropriate memory size and proper coding techniques to improve performance. The results show that optimizing memory size and codi

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Borra, Praveen, Mahidhar Mullapudi, Harshavardhan Nerella, and Lalith Kumar Prakashchand. "Analyzing AWS Edge Computing Solutions to Enhance IoT Deployments." International Journal of Engineering and Advanced Technology 13, no. 6 (2024): 8–12. http://dx.doi.org/10.35940/ijeat.f4519.13060824.

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This paper explores integrating Internet of Things (IoT) deployments with edge computing, focusing on Amazon Web Services (AWS) as a key facilitator. It provides an analysis of AWS IoT services and their integration with edge computing technologies, addressing challenges, and practical applications across industries, and outlining future research directions. IoT and edge computing revolutionize data processing by enabling real-time analytics, reduced latency, and enhanced operational efficiency. IoT involves interconnected devices autonomously gathering and exchanging data, while edge computin

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Banerjee, Joyanta, and Soumya Barman. "Serverless AI-Powered Recommendation Engine with AWS Lambda and SageMaker." International Journal of Computer Trends and Technology 72, no. 12 (2024): 153–63. https://doi.org/10.14445/22312803/ijctt-v72i12p119.

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Sudip, Chakraborty, and S. Aithal P. "Alexa Enabled IoT Device Simulation Using C# And AWS Lambda." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 7, no. 3 (2023): 359–68. https://doi.org/10.5281/zenodo.8329375.

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<strong>Purpose: </strong><em>Nowadays, device operation using voice commands is becoming popular. Several voice command services are available. Among them, Alexa from Amazon is the most popular. Almost Every day, vendors are integrating Alexa into their new products worldwide. We need physical devices for the device operation or understanding of the process flow of Alexa. Sometimes, physical devices are costly, or availability is poor. Here, we demonstrated how to create a simulated Alexa-enabled IoT device. We used several Amazon cloud services to execute the process flow. Alexa's skill

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Raju, Dachepally. "Serverless Microservices with AWS Lambda for Real-Time Data Processing." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 1 (2019): 1–6. https://doi.org/10.5281/zenodo.14881045.

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In the fast-evolving world of enterprise software, the shift from traditional monolithic applications to microservices has enabled organizations to achieve greater flexibility, scalability, and resilience. Serverless computing, particularly AWS Lambda, further accelerates this transition by eliminating the need to manage underlying server infrastructure. This paper focuses on the adoption of serverless microservices for real-time data processing, highlighting the benefits, design considerations, and implementation strategies. It also covers the challenges faced in maintaining state, mitigating

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Praveen, Borra. "Analyzing AWS Edge Computing Solutions to Enhance IoT Deployments." International Journal of Engineering and Advanced Technology (IJEAT) 13, no. 6 (2024): 8–12. https://doi.org/10.35940/ijeat.F4519.13060824.

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<strong>Abstract:</strong> This paper explores integrating Internet of Things (IoT) deployments with edge computing, focusing on Amazon Web Services (AWS) as a key facilitator. It provides an analysis of AWS IoT services and their integration with edge computing technologies, addressing challenges, and practical applications across industries, and outlining future research directions. IoT and edge computing revolutionize data processing by enabling real-time analytics, reduced latency, and enhanced operational efficiency. IoT involves interconnected devices autonomously gathering and exchangin

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Omotunde Osho, Grace, Damodar Bihani, Andrew Ifesinachi Daraojimba, Julius Olatunde Omisola, Bright Chibunna Ubamadu, and Emmanuel Augustine Etukudoh. "Building Scalable Blockchain Applications: A Framework for Leveraging Solidity and AWS Lambda in Real-World Asset Tokenization." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 1842–62. https://doi.org/10.62225/2583049x.2024.4.6.4157.

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The increasing demand for transparency, security, and efficiency in asset management has catalyzed the exploration of blockchain technologies for real-world asset tokenization. This paper presents a comprehensive framework for building scalable blockchain applications by integrating Solidity-based smart contracts with AWS Lambda, enabling decentralized and serverless execution of core business logic. The framework addresses key challenges associated with real-world asset tokenization, including compliance, immutability, transaction throughput, and system scalability. By leveraging Ethereum's p

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Nadendla, Satish Kumar. "Optimizing Real-Time AI Inference with AWS SageMaker and AWS Lambda for Large-Scale Business Applications." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 4117–24. https://doi.org/10.22214/ijraset.2025.69100.

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Due to high performance and scalability requirements the real-time AI inference needed in today's massive business applications is simply vital. The author goes on to depict how he successfully improves the use of AWS SageMaker (Amazon Web Services managed service for building, training, and deploying machine learning models) in both model training and deployment by employing AWS Lambda (an event-driven serverless computing platform). With this method businesses can now achieve AI inference at a low cost and with low latency. The main direction is implementing such AWS' AI services as Transcri

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Duan, Huagui, and Hui Liu. "Closed Geodesics on Positively Curved Finsler 3-Spheres." Advanced Nonlinear Studies 16, no. 1 (2016): 159–71. http://dx.doi.org/10.1515/ans-2015-5007.

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AbstractIn [33], Wang proved that for every Finsler three-dimensional sphere ${(S^{3},F)}$ with reversibility λ and flag curvature K satisfying ${(\lambda/({1+\lambda}))^{2}<K\leq 1}$, there exist at least three distinct closed geodesics. In this paper, we prove that for every Finsler three-dimensional sphere $(S^{3},F)$ with reversibility λ and flag curvature K satisfying ${(9/4)(\lambda/(1+\lambda))^{2}<K\leq 1}$ with ${\lambda<2}$, if there exist exactly three prime closed geodesics, then two of them are irrationally elliptic and the third one is infinitely degenerate.

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Chirumamilla, Sai Krishna. "Designing Cloud-Native APIs: Using AWS API Gateway for Scalable, Secure, and Developer-Friendly Solutions." International Scientific Journal of Engineering and Management 02, no. 11 (2023): 1–8. https://doi.org/10.55041/isjem01285.

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Continuous cloud development is becoming a major success in the technological field as businesses seek competitive solutions that meet the dynamic need for digital solutions. AWS API Gateway is quite extensive in providing full coverage of API management needs and several tools that will help developers with scalability, security, and convenience. This article focuses on how AWS API Gateway can be employed in creating API services that are properly secure and user-first experiences for the cloud. We dig deeper into the pillar of cloud-native architectures, review API Gateway’s features, and pr

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Balakrishna, Balasubrahmanya. "Unveiling the AWS SAM Magic for Serverless Restful APIs: Architecting with ALB Path-Based Routing in AWS." International Journal of Computing and Engineering 5, no. 2 (2024): 1–15. http://dx.doi.org/10.47941/ijce.1734.

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Purpose: This paper provides a thorough roadmap for developers, architects, and cloud enthusiasts who want to use the AWS Serverless Application Model (AWS SAM) to create a REST API and use the power of serverless computing. To handle HTTP requests effectively, the article focuses on deploying the API behind an Application Load Balancer (ALB) using path-based routing. The hands-on approach offers detailed instructions and valuable insights on planning, creating, and implementing serverless REST APIs. The focus is on the details of AWS SAM, examining its benefits and complexities. The paper mak

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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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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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López-Gómez, Julián. "Protection Zones in Periodic-Parabolic Problems." Advanced Nonlinear Studies 20, no. 2 (2020): 253–76. http://dx.doi.org/10.1515/ans-2020-2084.

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AbstractThis paper characterizes whether or not\Sigma_{\infty}\equiv\lim_{\lambda\uparrow\infty}\sigma[\mathcal{P}+\lambda m(% x,t),\mathfrak{B},Q_{T}]is finite, where {m\gneq 0} is T-periodic and {\sigma[\mathcal{P}+\lambda m(x,t),\mathfrak{B},Q_{T}]} stands for the principal eigenvalue of the parabolic operator {\mathcal{P}+\lambda m(x,t)} in {Q_{T}\equiv\Omega\times[0,T]} subject to a general boundary operator of mixed type, {\mathfrak{B}}, on {\partial\Omega\times[0,T]}. Then this result is applied to discuss the nature of the territorial refuges in periodic competitive environments.

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Kaniganti, Sai Tarun, and Venkata Naga Sai Kiran Challa. "Serverless Computing: Revolutionizing AI/ML Applications with AWS Lambda and SageMaker." Journal of Artificial Intelligence & Cloud Computing 1, no. 4 (2022): 1–9. http://dx.doi.org/10.47363/jaicc/2022(1)368.

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Risco, Sebastián, and Germán Moltó. "GPU-Enabled Serverless Workflows for Efficient Multimedia Processing." Applied Sciences 11, no. 4 (2021): 1438. http://dx.doi.org/10.3390/app11041438.

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Serverless computing has introduced scalable event-driven processing in Cloud infrastructures. However, it is not trivial for multimedia processing to benefit from the elastic capabilities featured by serverless applications. To this aim, this paper introduces the evolution of a framework to support the execution of customized runtime environments in AWS Lambda in order to accommodate workloads that do not satisfy its strict computational requirements: increased execution times and the ability to use GPU-based resources. This has been achieved through the integration of AWS Batch, a managed se

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Pavliuk, Vitalii, and Volodymyr Drevetskyi. "Determining job category using AWS machine learning cloud services." Modeling Control and Information Technologies, no. 6 (November 22, 2023): 227–29. http://dx.doi.org/10.31713/mcit.2023.070.

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In this article, the focus is on the modern role of information technology in the labor market, with special emphasis on automation and optimization of processes through cloud solutions. The main theme is the creation of a system for the automatic categorization of job vacancies using Amazon Web Services (AWS). The authors describe the key advantages of implementing cloud technologies, such as scalability, cost savings, availability, and high productivity. Specific AWS services are then discussed, including ECS, DynamoDB, AWS Glue, Amazon SageMaker, and AWS Lambda, which can be applied for the

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Prastiwi, Annisya Dira, and Anggyi Trisnawan Putra. "Implementation of Fuzzy Inference System with Best-Worst Method for Cost Efficiency on Amazon Web Services." Journal of Advances in Information Systems and Technology 4, no. 2 (2023): 149–55. http://dx.doi.org/10.15294/jaist.v4i2.60569.

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This study aims to reduce the cost of using computing services on AWS. Cost reduction is needed because there is a possibility that the total cost of using cloud services exceeds the estimated budget. One type of EC2 that offers a large discount is the Spot Instance. The downside of this type of EC2 is that AWS reserves the right to stop it at any time. The proposed solution is an automation system to select and run EC2 Spot Instance types based on price, discount, amount of memory, and vCPU usage from previous instances. The automation system is built with the implementation of fuzzy inferenc

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Paunzen, E., W. W. Weiss, U. Heiter, and P. North. "A consolidated catalogue of lambda Bootis stars." Astronomy and Astrophysics Supplement Series 123, no. 1 (1997): 93–101. http://dx.doi.org/10.1051/aas:1997308.

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R, DHANALAKSMI. "AWS Powered Sentiment Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41727.

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The paper discusses the results of a study which extracts meaningful insights from vast amounts of unstructured text has become critical for businesses and organizations. Sentiment analysis, a Natural Language Processing (NLP) technique, is used to determine whether a piece of text conveys positive, negative, or neutral sentiment. By leveraging Amazon Web Services (AWS) such as Amazon Comprehend for language processing, AWS Lambda for serverless execution, and Amazon S3 for data storage, the system can process large datasets efficiently. This feedback can guide the development of new products

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Researcher. "AI-POWERED FRAUD DETECTION IN FINANCIAL SERVICES: LEVERAGING AWS AND JAVA FOR ENHANCED SECURITY." International Journal of Computer Engineering and Technology (IJCET) 15, no. 4 (2024): 505–15. https://doi.org/10.5281/zenodo.13310224.

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The financial services industry is grappling with increasingly sophisticated fraudulent activities, necessitating advanced fraud detection systems. This article explores the integration of Amazon Web Services (AWS) and Java to develop AI-powered solutions that significantly enhance security and asset protection in the financial sector. We delve into how key AWS services, including SageMaker for machine learning, Redshift for data warehousing, and Lambda for real-time processing, can seamlessly integrate with Java-based applications to create robust fraud detection systems. The discussion encom

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Zhong, Xiao-Jing, та Chun-Lei Tang. "Multiple Positive Solutions to a Kirchhoff Type Problem Involving a Critical Nonlinearity in ℝ3". Advanced Nonlinear Studies 17, № 4 (2017): 661–76. http://dx.doi.org/10.1515/ans-2016-6006.

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AbstractIn this paper, we investigate a class of Kirchhoff type problems in {\mathbb{R}^{3}} involving a critical nonlinearity, namely,-\biggl{(}1+b\int_{\mathbb{R}^{3}}\lvert\nabla u|^{2}\,dx\biggr{)}\triangle u=% \lambda f(x)u+|u|^{4}u,\quad u\in D^{1,2}(\mathbb{R}^{3}),where {b>0}, {\lambda>\lambda_{1}} and {\lambda_{1}} is the principal eigenvalue of {-\triangle u=\lambda f(x)u}, {u\in D^{1,2}(\mathbb{R}^{3})}. We prove that there exists {\delta>0} such that the above problem has at least two positive solutions for {\lambda_{1}<\lambda<\lambda_{1}+\delta}. Furthermore, we ob

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