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Journal articles on the topic 'Serverless Application'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

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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Duc Nguyen, Hai, and Andrew A. Chien. "A Foundation for Real-time Applications onFunction-as-a-Service." ACM SIGMETRICS Performance Evaluation Review 51, no. 4 (2024): 54–65. http://dx.doi.org/10.1145/3649477.3649497.

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Serverless (or Function-as-a-Service) compute model enables new applications with dynamic scaling. However, all current Serverless systems are best-effort, and as we prove this means they cannot guarantee hard real-time deadlines, rendering them unsuitable for such real-time applications. We analyze a proposed extension of the Serverless model that adds a guaranteed invocation rate to the serverless model called Real-time Serverless. This approach aims to meet real-time deadlines with dynamically allocated function invocations. We first prove that the Serverless model does not support real-tim

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Idris, A. Sogunle. "Securing Serverless Application Built with Lambda Function and API Gateway." Securing Serverless Application Built with Lambda Function and API Gateway 8, no. 11 (2023): 7. https://doi.org/10.5281/zenodo.10250591.

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The proliferation of serverless computing has transformed the landscape of application development, ushering in an era of increased scalability and reduced operational overhead. Serverless platforms, exemplified by AWS Lambda and API Gateway, provide an agile and cost-effective framework for deploying web services and applications. However, the shift to serverless architecture introduces new security challenges and risks. This article investigates the multifaceted aspects of securing serverless applications built with Lambda functions and API Gateway, recognizing the need for a comprehensive s

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Gaber, Suliman, and Mamdouh Alenezi. "Transforming Application Development With Serverless Computing." International Journal of Cloud Applications and Computing 14, no. 1 (2024): 1–16. https://doi.org/10.4018/ijcac.365288.

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In serverless computing, the developer relinquishes the management of resources to the cloud provider while focusing on improving the application logic and coding. Due to the immense benefits associated with this approach, it has recently attracted the attention of both industry and academy practitioners. Hence, this article explores the transformative impact of serverless computing on the various stages of application development, including design, development, testing, deployment, and maintenance. By examining the specific ways in which serverless computing transforms each stage, the authors

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Researcher. "SERVERLESS COMPUTING: REVOLUTIONIZING CLOUD APPLICATION DEVELOPMENT." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 901–11. https://doi.org/10.5281/zenodo.13935020.

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This comprehensive article explores the paradigm shift brought about by serverless computing in the cloud architecture landscape. It delves into the core concepts, key characteristics, and significant advantages of serverless computing, including its event-driven execution, automatic scaling, and pay-per-use pricing model. The article thoroughly examines the serverless workflow and highlights various practical applications across industries. With a focus on numerical data and real-world case studies, it demonstrates how serverless computing is revolutionizing application development, deploymen

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Spenger, Jonas, Chengyang Huang, Philipp Haller, and Paris Carbone. "Portals: A Showcase of Multi-Dataflow Stateful Serverless." Proceedings of the VLDB Endowment 16, no. 12 (2023): 4054–57. http://dx.doi.org/10.14778/3611540.3611619.

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Serverless applications spanning the cloud and edge require flexible programming frameworks for expressing compositions across the different levels of deployment. Another critical aspect for applications with state is failure resilience beyond the scope of a single dataflow graph that is the current standard in data streaming systems. This paper presents Portals, an interactive, stateful dataflow composition framework with strong end-to-end guarantees. Portals enables event-driven, resilient applications that span across dataflow graphs and serverless deployments. The demonstration exhibits th

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Li, Qian, and Peter Kraft. "Transactions and Serverless are Made for Each Other." Queue 22, no. 3 (2024): 79–91. http://dx.doi.org/10.1145/3674952.

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Database-backed applications are an exciting new frontier for serverless computation. By tightly integrating application execution and data management, a transactional serverless platform enables many new features not possible in either existing serverless platforms or server-based deployments.

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Kolla, Sudheer. "Serverless Computing: Transforming Application Development with Serverless Databases: Benefits, Challenges, and Future Trends." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 1 (2019): 810–19. https://doi.org/10.61841/turcomat.v10i1.15043.

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Serverless computing has revolutionized cloud services by abstracting infrastructure management, providing developers with an environment that automatically scales to meet demand. Initially popular in computing, serverless computing has since expanded into the database realm with services such as Amazon Aurora Serverless and Google Cloud Firestore. These databases offer dynamic scaling of storage and compute capacity without the need for developers to manage the underlying infrastructure. Serverless databases have transformed application development by providing a pay-per-use pricing model, wh

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Gayathri, Mantha. "Serverless Computing - Reducing Costs and Complexity in Modern Application Development." Journal of Scientific and Engineering Research 9, no. 7 (2022): 173–75. https://doi.org/10.5281/zenodo.14005902.

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Serverless computing speaks to a worldview move in cloud engineering, giving a way for designers to construct and run applications without overseeing framework. This white paper investigates the preferences of serverless computing, especially centering on how it can decrease costs and complexity in advanced application improvement. We'll talk about the elemental standards of serverless computing, assess its benefits, address common misguided judgments, and give experiences into its affect on application advancement and sending.  

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Honsor, Oksana, and Oleksandr Demidov. "APPLICATION OF SERVERLESS SYSTEMS FOR PROCESSING METROLOGICAL METADATA IN IOT." Measuring Equipment and Metrology 85, no. 4 (2024): 25–29. https://doi.org/10.23939/istcmtm2024.04.025.

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The article investigates the potential of serverless architectures for efficiently processing large-scale metadata generated by Internet of Things (IoT) sensors. As IoT systems grow increasingly complex, the challenges associated with processing vast amounts of data in distributed environments become more pronounced. Key issues include ensuring data accuracy, maintaining scalability, and reducing the operational costs of data processing infrastructure. The paper proposes serverless computing as a highly adaptable solution to these challenges, focusing on its capacity for real-time processing,

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Kravets, Natalia S. "Processing Events in a Cloud Application Using Serverless Computing." Management Information System and Devises, no. 177 (June 30, 2021): 47–51. https://doi.org/10.30837/0135-1710.2021.177.047.

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Serverless computing is used in the development of software for the areas of retail, finance, media, medicine, social networks, and processing of streaming data in real time. Developers using serverless computing can achieve cost savings and scalability without having to have a high level of knowledge in the field of cloud computing. In addition, using the serverless paradigm reduces the application release time. This format is well suited for implementing applications with an event-oriented architecture. When processing events in real time by means of FaaS, the problem may be a «cold» start,

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Pulivarthy, Padmaja. "Harnessing Serverless Computing for Agile Cloud Application Development." FMDB Transactions on Sustainable Computing Systems 2, no. 4 (2024): 201–10. https://doi.org/10.69888/ftscs.2024.000296.

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Serverless computing revolutionises cloud application development with elastic, cost-effective, scalable infrastructure management solutions. This research explores the adoption of serverless computing in agile cloud application development and its impacts on software delivery speed, scalability, and efficiency of operations. Serverless user authentication, data processing, and real-time analytics functions are supported in the experimental dataset and deployed on AWS Lambda, Google Cloud Functions, and Azure Functions. The experiments measure execution time, cost, latency, and concurrency. Py

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Singh, Varun. "Creating Serverless Web Applications with AWS." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 2008–11. http://dx.doi.org/10.22214/ijraset.2023.56985.

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Abstract: Serverless computing has emerged as a groundbreaking innovation, allowing organizations to alleviate the complexities associated with provisioning, scaling, and managing infrastructure. The surge in serverless adoption poses challenges in choosing optimal solutions amid a myriad of proposed designs by experts. This paper categorizes serverless patterns using a multivocal literature review, highlighting benefits and challenges in coordination, aggregation, event management, availability, communication, and validation. To illustrate the practical application of serverless computing, we

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Zangana, Hewa Majeed, Zina Bibo Sallow, and Marwan Omar. "Cloud Architectures for Distributed Serverless Computing: A Review of Event-Driven and Function-as-a-Service Paradigms." International Journal of Artificial Intelligence & Robotics (IJAIR) 6, no. 2 (2024): 57–64. https://doi.org/10.25139/ijair.v6i2.8597.

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The advent of serverless computing has revolutionized the cloud computing landscape, providing scalable, cost-effective, and flexible solutions for modern application development. This paper comprehensively reviews cloud architectures for distributed serverless computing, focusing on event-driven and Function-as-a-Service (FaaS) paradigms. This research explores the fundamental principles and benefits of serverless computing, highlighting its impact on development practices and infrastructure management. The review covers key components, including orchestration, scalability, and security, and

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Bandaru, Santosh Panendra. "Cloud Computing for Software Engineers: Building Serverless Applications." International Journal of Computer Science and Mobile Computing 12, no. 11 (2023): 90–114. https://doi.org/10.47760/ijcsmc.2023.v12i11.007.

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Serverless computing has emerged as a revolutionary paradigm in cloud computing, enabling software engineers to focus on writing application logic while cloud providers handle infrastructure management. This research paper explores the evolution and foundational principles of cloud computing, providing a deep dive into serverless architectures. It examines core technologies such as Function as a Service (FaaS) and Backend as a Service (BaaS), evaluates leading serverless platforms, and discusses development methodologies, security considerations, and cost optimization strategies. Additionally,

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Krishna, Mohan Pitchikala. "Serverless Architecture: Transforming Application Development for the Next Generation." European Journal of Advances in Engineering and Technology 10, no. 5 (2023): 94–97. https://doi.org/10.5281/zenodo.13320171.

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In the past, most software development followed monolithic and server-centric architectures, meaning developers had to handle everything from provisioning to managing and scaling servers. This process was often time-consuming and prone to errors, leading to inefficiencies and increased costs for businesses. Serverless architecture was developed to address these issues, making it easier to develop and deploy applications by handling infrastructure tasks such as monitoring and managing servers. This approach is not only cost-effective but also allows applications to scale easily when needed. Man

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Rakhmadi Rahman, Nabilah Ramadhani Wowong, and Fathin Alwan Tahir. "Membangun Sistem Operasi Windows Serverless Mempermudah Pengembangan dan Deployment Aplikasi Modern." Jurnal Kendali Teknik dan Sains 2, no. 4 (2024): 01–05. http://dx.doi.org/10.59581/jkts-widyakarya.v2i4.4032.

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Exploring the concept of the Windows serverless operating system as a solution in the development and deployment of modern applications. Through a quantitative approach, this study evaluates how serverless technology can improve efficiency, reduce costs, and speed up the application development process. Using case studies and data analysis, this study provides practical guidance for developers and organizations in adopting serverless architectures in Windows environments.

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Santosh, Vinnakota. "Serverless Computing for High-Performance Data Processing Workflows." Journal of Advances in Developmental Research 11, no. 2 (2020): 1–9. https://doi.org/10.5281/zenodo.15104201.

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Serverless computing has emerged as a paradigm shift in cloud computing, offering scalable and cost-efficient execution of applications without requiring users to manage infrastructure. This paper explores the application of serverless computing in high-performance data processing workflows, focusing on scalability, efficiency, and cost-effectiveness. We analyze architectures, discuss advantages and challenges, and present a case study demonstrating serverless execution in real-world data engineering tasks.

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Bangar Raju Cherukuri. "Serverless revolution: Redefining application scalability and cost efficiency." World Journal of Advanced Research and Reviews 2, no. 30 (2019): 039–53. https://doi.org/10.30574/wjarr.2019.2.3.0093.

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Serverless computing has become a novel wave in application development as it provides the best of both worlds- flexibility and affordable solutions. Because it gets rid of servers completely, and developers code and let cloud providers take care of the rest that fluctuates. This model enables businesses to manage costs effectively by charging only for the amount of usage and also eliminates the problem of processing unpredictable workloads, proving rather great for e-commerce, media, and IoT industries. However, this paper also looks at some issues accompanying serverless computing, such as C

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Hui, Xinning, Yuanchao Xu, and Xipeng Shen. "Exploring Function Granularity for Serverless Machine Learning Application with GPU Sharing." Proceedings of the ACM on Measurement and Analysis of Computing Systems 9, no. 1 (2025): 1–28. https://doi.org/10.1145/3711699.

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Recent years have witnessed increasing interest in machine learning (ML) inferences on serverless computing due to its auto-scaling and cost-effective properties. However, one critical aspect, function granularity, has been largely overlooked, limiting the potential of serverless ML. This paper explores the impact of function granularity on serverless ML, revealing its important effects on the SLO hit rates and resource costs of serverless applications. It further proposes adaptive granularity as an approach to addressing the phenomenon that no single granularity fits all applications and situ

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Hui, Xinning, Yuanchao Xu, and Xipeng Shen. "Exploring Function Granularity for Serverless Machine Learning Application with GPU Sharing." ACM SIGMETRICS Performance Evaluation Review 53, no. 1 (2025): 76–78. https://doi.org/10.1145/3744970.3727285.

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Recent years have witnessed increasing interest in machine learning (ML) inferences on serverless computing due to its auto-scaling and cost-effective properties. However, one critical aspect, function granularity, has been largely overlooked, limiting the potential of serverless ML. This paper explores the impact of function granularity on serverless ML, revealing its important effects on the SLO hit rates and resource costs of serverless applications. It further proposes adaptive granularity as an approach to addressing the phenomenon that no single granularity fits all applications and situ

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Anish Kumar Jain and Ms. Lalita Verma. "Benefits and Challenges of Serverless Architectures in Financial Applications." International Journal for Research Publication and Seminar 16, no. 2 (2025): 96–102. https://doi.org/10.36676/jrps.v16.i2.54.

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Serverless technologies have recently emerged as a transformative solution in the realm of financial applications, promising to redefine how financial services are delivered and managed. This analysis investigates the inherent benefits and challenges associated with adopting serverless architectures in the financial industry. Serverless computing abstracts the underlying infrastructure, allowing developers to focus solely on code and application logic while eliminating server management complexities. This paradigm offers increased scalability, cost efficiency, and accelerated deployment cycles

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Parag, Bhardwaj. "The Impact of Serverless Computing on Cost Optimization." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 11, no. 2 (2023): 1–13. https://doi.org/10.5281/zenodo.14593080.

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Cloud computing has undergone a revolutionary paradigm with serverless computing, it can significantly optimize costs during application development and deployment. Instead of the traditional server based model, serverless computing abstracts infrastructure management completely, leaving developers to only focusing on code execution, from provisioning and maintaining servers. Pay-as-you-go pricing model of this model charges users only for the actual compute resources consumed during execution without charging for the idle server time. Therefore, serverless computing can save companies a lot o

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Ali, Md Amir. "Serverless: Next Generation of Cloud Computing." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1168–72. http://dx.doi.org/10.22214/ijraset.2021.36551.

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Serverless computing has emerged as a promising new paradigm for application and service deployment. The process of delivering code into production can be made easier with serverless computing. Serverless code can be utilized alongside standard deployment strategies such as microservices and monoliths. Alternatively, programs can be developed to be completely serverless, meaning they don't require any supplied servers. A serverless computing service concept is also called Function as a Service (FaaS), which allows developers to deploy specific functions to the cloud. FaaS has proven to be effe

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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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Markhakshinov, A. L., A. A. Tonkhonoeva, and E. R. Urmakshinova. "Serverless Mobile Applications Development." Vestnik NSU. Series: Information Technologies 17, no. 4 (2019): 66–73. http://dx.doi.org/10.25205/1818-7900-2019-17-4-5-66-73.

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Principles of mobile applications development, requiring no server code, are described. Database, user authentication and notification sending functions are suggested to be implemented by BaaS model (Backend as a Service). Example architecture of serverless mobile application using Google Firebase cloud services is shown. Brief description of basic interactions between serverless architecture components is given.

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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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Siva Prakash Bikka. "Serverless computing and advanced security framework integration: From implementation to future trends." International Journal of Science and Research Archive 14, no. 1 (2025): 1751–57. https://doi.org/10.30574/ijsra.2025.14.1.0267.

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The integration of serverless computing and Function-as-a-Service (FaaS) with advanced security frameworks represents a transformative shift in cloud-native application development. This comprehensive analysis explores the evolution of serverless architectures, examining their impact on real-time data processing, API development, microservices implementation, and machine learning applications. The article investigates the synergy between serverless computing and cybersecurity measures, particularly focusing on Zero-Trust Architecture implementation across healthcare, retail, and supply chain s

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Neetu Gangwani. "Serverless Computing in the Edge-Cloud Continuum : Challenges, Opportunities, and a Novel Framework." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 337–44. http://dx.doi.org/10.32628/cseit241051010.

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This article explores the integration of serverless computing across the edge-cloud continuum, addressing the growing demand for low-latency, data-intensive applications in the era of the Internet of Things (IoT). We present EdgeServe, a novel framework that extends the serverless paradigm to encompass edge devices and cloud resources, overcoming the limitations of traditional cloud-centric approaches. Through comprehensive simulations and real-world case studies, including a smart city traffic management system, an industrial IoT predictive maintenance application, and a mobile augmented real

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Tejaswi Bharadwaj Katta. "Serverless computing for enterprise AI Integration: Evaluating the role of serverless architectures in scaling AI-driven enterprise integration." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 1437–46. https://doi.org/10.30574/wjaets.2025.15.1.0376.

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Serverless computing is emerging as a transformative paradigm for integrating artificial intelligence into enterprise environments. This comprehensive article examines how serverless architectures streamline the deployment and scaling of AI applications, focusing on inherent benefits such as automatic scaling, cost efficiency, and reduced operational overhead. By decoupling infrastructure management from application logic, serverless platforms enable enterprises to rapidly deploy AI models and processing pipelines that can dynamically adjust to fluctuating workloads. The article investigates h

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Muralidhara, Pavan, and Vaishnavi Janardhan. "Serverless Computing: Evaluating Performance, Scalability, and Cost-Effectiveness for Modern Applications." International Journal of Engineering and Computer Science 5, no. 8 (2016): 17810–34. https://doi.org/10.18535/ijecs/v5i8.64.

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Serverless computing has become an innovative model within computing clouds, which has become a revolutionary model for developing applications. Thanks to serverless architecture exclusion of infrastructure management aspects, the developers can concentrate only on the application code improvements. In this paper, the important criteria related to serverless computing will be discussed, with focus on the performance comparison, scalability, and cost issues. The discussion starts with the performance characteristics of the serverless business model from the perspective of business value and dis

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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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Prabu, Arjunan. "Migrating Legacy Applications to AWS Serverless Architecture." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 8, no. 5 (2022): 1–7. https://doi.org/10.5281/zenodo.14631929.

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One of the most important paradigm shifts happening in modern application development and migration strategies is the transition to serverless architecture. This research paper analyzes various patterns, challenges, and implementation methodologies of migration approaches to AWS's serverless computing platform. The paper will show how organizations can smoothly transition existing applications to the serverless platform offered by AWS, with practical implementation guides on cost optimization and operational efficiency. The research also covers common challenges and their proven solutions base

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Гордина, А. Т., А. В. Забродин, and А. Д. Хомоненко. "Designing Serverless architecture applications." Vestnik of Russian New University. Series «Complex systems: models, analysis, management», no. 2 (June 21, 2022): 140–48. http://dx.doi.org/10.18137/rnu.v9187.22.02.p.140.

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Рассматривается модель бессерверной архитектуры облачных вычислений. Проведено сравнение с традиционной многоуровневой архитектурой. Рассмотрено использование API-шлюза – связующего звена между клиентом и сервисами. Приведен пример спецификации приложения по управлению грузоперевозками. Рассмотрено внедрение бессерверной архитектуры в микросервисную. Определены принципы проектирования основных компонентов модели FaaS – функция как сервис – составляющей бессерверных вычислений. Обосновано создание бессерверной архитектуры и задач, решаемых при разработке приложения. В качестве провайдера облачн

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Researcher. "ADVANCES IN SERVERLESS COMPUTING: A PARADIGM SHIFT IN CLOUD APPLICATION DEVELOPMENT." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 1440–49. https://doi.org/10.5281/zenodo.14506248.

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<em>Serverless computing has emerged as a revolutionary paradigm in cloud computing, fundamentally transforming the landscape of application development and deployment. This comprehensive article examines the multifaceted impact of serverless architectures, exploring their technical foundations, economic implications, and operational benefits in modern cloud environments. The article delves into the core components of serverless computing, including event-driven architectures, automated scaling mechanisms, and resource allocation systems, while analyzing their collective impact on application

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Santoso, Liem Margareth. "Perancangan Aplikasi E-Commerce Menggunakan Cloud Computing dan Arsitektur Severless Lambda." METHOMIKA Jurnal Manajemen Informatika dan Komputerisasi Akuntansi 8, no. 2 (2024): 155–63. http://dx.doi.org/10.46880/jmika.vol8no2.pp155-163.

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E-commerce applications are one area that continues to develop rapidly in the digital industry. The use of cloud computing and serverless lambda technology has provided many advantages in developing and managing e-commerce applications. However, the need for flexibility, scalability, and operational efficiency is increasingly driving the adoption of serverless architecture as an approach to building adaptive and cost-effective e-commerce applications. The app allows sellers to market products, take orders, and manage inventory efficiently, while customers can easily browse the product catalog,

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Gaurav Samdani, Kabita Paul, and Flavia Saldanha. "Serverless architectures for agentic AI deployment." World Journal of Advanced Engineering Technology and Sciences 7, no. 2 (2022): 320–33. https://doi.org/10.30574/wjaets.2022.7.2.0144.

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This paper presents directions on improving scalabilities, costs, and flexibility in serverless architectures incorporating agentic AI deployment. Using event-driven and a pay-as-you-go model, Serverless computing is shown to be an optimal way to deploy agentic AI systems due to their need for flexibility. The research objectives include the assessment of the possibilities for serverless platforms, the assessment of the effectiveness of its case applications, and the development of a solid methodology for its application in real life. The methodology uses case studies, comparative analysis, an

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Vijaya Kumar Katta. "Leveraging AWS cloud native services for scalable application architectures." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 2108–20. https://doi.org/10.30574/wjarr.2025.26.2.1853.

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AWS cloud-native services enable organizations to build scalable and resilient applications in today's transformed application development landscape. AWS has pioneered technologies that have become cornerstones of modern application architecture, offering comprehensive tools for implementing sophisticated solutions. The document examines serverless computing paradigms through AWS Lambda and API Gateway, highlighting their evolution, features, and best practices for implementation. It delves into container orchestration with Amazon ECS and EKS, comparing their capabilities and introducing Farga

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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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Researcher. "ACCELERATING DIGITAL TRANSFORMATION THROUGH SERVERLESS ARCHITECTURE." International Journal of Research in Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 2297–307. https://doi.org/10.5281/zenodo.14500611.

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The rise of serverless technologies is fundamentally changing modern application development and how companies create, implement, and scale their apps. Examining both theoretical underpinnings and actual implementations, this thorough technical article investigates the transforming effect of serverless architectures on application development. It examines the technical components, design patterns, and operational concerns guiding successful implementations from conventional monolithic structures to serverless architectures. This article addresses the difficulties companies experience during mi

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István, Pelle, Paolucci Francesco, Sonkoly Balázs, and Cugini Filippo. "P4-assisted seamless migration of serverless applications towards the edge continuum." Future Generation Computer Systems 146 (April 19, 2023): 122–38. https://doi.org/10.1016/j.future.2023.04.010.

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Serverless computing has recently been presented as an effective technology for handling short-lived compute tasks in the cloud. It has the potential of becoming an attractive option also in the context of edge computing where resource-aware deployment, constrained by both limited edge computing resources and experienced latency, plays a vital role. In this paper, we present and experimentally validate a framework that oversees serverless applications in an edge computing scenario. It completely automates serverless application deployment and provides hitless dynamic migration of application c

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Naresh, Lokiny. "Reducing DevOps Costs with Serverless Architectures and Their Impact on DevOps Practices." European Journal of Advances in Engineering and Technology 10, no. 9 (2023): 90–93. https://doi.org/10.5281/zenodo.13326520.

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Serverless architectures have emerged as a transformative technology in cloud computing, offering organizations a scalable and cost-effective approach to application development and deployment. This paper explores the impact of serverless architectures on DevOps practices, examining how the shift to serverless models is reshaping traditional approaches to infrastructure management, automation, monitoring, and collaboration within DevOps teams. By analyzing the opportunities and challenges presented by serverless technologies in DevOps workflows, this paper aims to provide insights and recommen

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Tarun Kumar Chatterjee. "Serverless architecture: A paradigm shifts in cloud enterprise modernization." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 952–56. https://doi.org/10.30574/wjaets.2025.15.1.0312.

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Serverless architecture represents a transformative paradigm in cloud computing that fundamentally alters how enterprises approach application development, deployment, and scaling. By abstracting infrastructure management, serverless computing enables organizations to focus exclusively on business logic while benefiting from improved operational efficiency, cost optimization, and accelerated innovation cycles. This architectural model has demonstrated substantial growth in enterprise adoption, driven by its ability to reduce development cycles, lower infrastructure costs, and provide seamless

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Bangar Raju Cherukuri and Senior Web Developer. "Scalable machine learning model deployment using serverless cloud architectures." World Journal of Advanced Engineering Technology and Sciences 5, no. 1 (2022): 087–101. https://doi.org/10.30574/wjaets.2022.5.1.0025.

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Implementations of the developed ML models are related to important questions of scale, resource, and management. This work investigates the use of serverless cloud models to address these issues and enhance and optimize the deployment, scalability, and maintenance of ML models. Reviewing main serverless platforms and their compatibility with different ML development and usage stages, the research compares the effectiveness, cost, and adaptability to the common application deployment practices. The study in this paper employs case and performance analysis to show and explain how serverless sol

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Ivan, Vasile, and Dadarlat. "Serverless Computing: An Investigation of Deployment Environments for Web APIs." Computers 8, no. 2 (2019): 50. http://dx.doi.org/10.3390/computers8020050.

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Cloud vendors offer a variety of serverless technologies promising high availability and dynamic scaling while reducing operational and maintenance costs. One such technology, serverless computing, or function-as-a-service (FaaS), is advertised as a good candidate for web applications, data-processing, or backend services, where you only pay for usage. Unlike virtual machines (VMs), they come with automatic resource provisioning and allocation, providing elastic and automatic scaling. We present the results from our investigation of a specific serverless candidate, Web Application Programming

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Roobini, M. S., Selvasurya Sampathkumar, Shaik Khadar Basha, and Anitha Ponraj. "Serverless Computing Using Amazon Web Services." Journal of Computational and Theoretical Nanoscience 17, no. 8 (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 impl

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Srivastava, Shashank, Bineet Kumar Gupta, Dheeraj Tandon, Kartikesh Tiwari, Anshita Raj, and Megha Agarwal. "A Novel Approach for Triggering the Serverless Function in Serverless Environment." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 200–209. http://dx.doi.org/10.17762/ijritcc.v11i7.7846.

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Serverless computing has gained significant popularity in recent years due to its scalability, cost efficiency, and simplified development process. In a serverless environment, functions are the basic units of computation that are executed on-demand, without the need for provisioning and managing servers. However, efficiently triggering serverless functions remains a challenge, as traditional methodologies often suffer from latency, Time limit and scalability issues and the efficient execution and management of serverless functions heavily rely on effective triggering mechanisms. This research

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Venkata, Baladari. "Evolving Cloud-Native Architectures: Leveraging Serverless Computing for Flexibility and Scalability in Applications." Journal of Scientific and Engineering Research 9, no. 9 (2022): 126–35. https://doi.org/10.5281/zenodo.15044896.

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Cloud-native architectures and serverless computing have revolutionized application deployment, improving scalability, reducing costs, and increasing operational flexibility. Optimizing performance, resource allocation, and automating workflows continues to be a difficult challenge. This paper discusses the latest developments in serverless computing, focusing on its importance for building scalable applications. Key developments in container-based platforms, workflow execution, and function choreography are explored. Furthermore, we evaluate the combination of serverless computing with AI, sc

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Bayya, Anil Kumar. "The Role of Serverless Architectures in Revolutionizing FinTech Solutions." Asian Journal of Mathematics and Computer Research 32, no. 1 (2025): 1–26. https://doi.org/10.56557/ajomcor/2025/v32i19035.

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The evolution of serverless architectures has revolutionized how FinTech solutions are developed and deployed, offering a new paradigm for achieving scalability, cost-efficiency, and streamlined operations. Serverless computing, characterized by its event-driven model and pay-as-you-go billing, eliminates the need for managing the underlying infrastructure, allowing developers to focus solely on building and improving application functionality. This paper investigates the transformative impact of serverless technologies on the FinTech sector, highlighting their role in enhancing transaction pr

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Kumar, Vijay, and Talwinder Kaur. "Cloud Functions and Serverless Computing." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 3426–27. http://dx.doi.org/10.22214/ijraset.2022.43163.

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Abstract: Cloud Function in the simplest words is a Function-as-a-Service (FaaS). FaaS is actually a family of the serverless computing category. “Serverless” means that the user can focus on its application logic without dealing with infrastructure at all. Painless development, deployment, and maintenance of a web API is still not a turn-key solution, although modern web application frameworkshave improved dramatically in the last few years. Serverless is without any doubt a game-changer. The event-driven approach combined with a scalable and robust cloud ecosystem offered by the maintop clou

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