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Journal articles on the topic 'Azure Functions'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Bhargav, Bachina. "Implementing CI/CD Pipelines for Python Azure Functions with Azure DevOps." Journal of Scientific and Engineering Research 8, no. 2 (2021): 229–41. https://doi.org/10.5281/zenodo.10902867.

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<strong>Abstract </strong>Azure Functions provide a seamless solution for deploying small code segments in the cloud, supporting various programming languages. This paper explores deployment strategies, focusing on Azure DevOps for function app deployment. Additionally, it demonstrates creating a Python REST API using Azure Functions. Key sections include an introduction to Azure Functions and an example project showcasing Azure DevOps deployment. Through this exploration, developers gain insights into leveraging serverless computing for efficient application deployment and development.

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Bhargav, Bachina. "Developing Python REST APIs Using Azure Functions: A Serverless Approach." Journal of Scientific and Engineering Research 7, no. 12 (2020): 199–209. https://doi.org/10.5281/zenodo.10902886.

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<strong>Abstract </strong>This paper delves into the versatility of Azure Functions, illustrating how developers can effortlessly deploy lightweight code snippets in the cloud, alleviating concerns about infrastructure management. With support for multiple programming languages and a consumption-based pricing model, Azure Functions offer adaptability and scalability to meet diverse application needs. Specifically focusing on creating a Python REST API using Azure Functions, the paper elucidates fundamental concepts, prerequisites, implementation steps, deployment procedures, monitoring strateg

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Sachin, Samrat Medavarapu. "Leveraging Serverless Computing: An In-Depth Review of Azure Functions and ASP.NET Core Integration." European Journal of Advances in Engineering and Technology 9, no. 3 (2024): 179–81. https://doi.org/10.5281/zenodo.13627218.

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Serverless computing has revolutionized the way developers build and deploy applications by abstracting the underlying infrastructure management. Azure Functions, a leading serverless computing service by Microsoft, provides a scalable and cost-effective solution for running event-driven code. When integrated with ASP.NET Core, Azure Functions enables the creation of robust, scalable, and high-performance web applications. This review paper explores the architecture, benefits, and use cases of Azure Functions and ASP.NET Core integration. We discuss various methods and best practices for lever

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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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Venkata, Tadi. "Evaluating Advanced Azure Monitoring and Alerting Strategies in Diverse Large-Scale Enterprise Environments." Journal of Scientific and Engineering Research 9, no. 9 (2022): 94–107. https://doi.org/10.5281/zenodo.13338082.

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This study evaluates the performance and scalability of advanced monitoring and alerting strategies for data-intensive applications deployed on Microsoft Azure within diverse, large-scale enterprise environments. Leveraging key Azure services such as Azure Functions, Azure Data Factory (ADF) Pipelines, Kusto, Azure Service Bus, and Event Grid, the research aims to bridge the gap between theoretical best practices and real-world applications. By conducting a comprehensive analysis across various industry sectors, the study identifies the practical challenges, solutions, and adaptations necessar

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Стевановић, Немања. "ПРИМЕНА SERVERLESS АРХИТЕКТУРЕ НА АПЛИКАЦИЈУ ЗА УПРАВЉАЊЕ РАДОВИМА У ЕЕ СИСТЕМУ". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 35, № 06 (2020): 1022–25. http://dx.doi.org/10.24867/08be02stevanovic.

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У овом раду представљена је примена Serverless архитектуре на апликацију која симулира управљање радовима у електроенергетском систему. Приказан је начин на који се може смањити оптерећење једног од сервиса апликације употребом Azure Functions које представљају Serverless архитектуру креиране од стране Microsoft Azure-a.

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Dadi, Chaitanya Bharat. "Serverless Architectures and Function-as-a-Service (FaaS): Redefining Application Design and Scalability with Azure Functions." European Journal of Computer Science and Information Technology 13, no. 34 (2025): 97–106. https://doi.org/10.37745/ejcsit.2013/vol13n3497106.

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This article examines how serverless computing and Function-as-a-Service (FaaS) via Azure Functions are revolutionizing cloud application development by enabling developers to focus on business logic while cloud providers manage infrastructure operations. The paradigm shift from monolithic applications to discrete, event-triggered functions has produced significant advancements in deployment efficiency, cost reduction, and operational agility across diverse industries. Through a comprehensive assessment of architectural implications, economic benefits, real-world implementations, and technical

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Reheta, D. M. "Windows Azure cloud platform." CTE Workshop Proceedings 1 (March 21, 2013): 111. http://dx.doi.org/10.55056/cte.153.

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The functions and design of adaptive information-computing networks concentrates on the concept of electronic data processing based on cloud computing information technology using the Windows Azure platform. This platform is based on running a virtual machine for each instance of an interactive application. According to this concept, networked virtual objects are formed thanks to a special user interface supported by the system programs by means of network configuration tools. These are network virtual sites as a situational component of a logical network infrastructure. Windows Azure sells tw

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Jitender Jain. "Optimizing Payment Gateways in Fintech Using AI-Augmented OCR and Intelligent Workflow." Journal of Electrical Systems 17, no. 1 (2024): 115–27. https://doi.org/10.52783/jes.8179.

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This research delves into the optimization of payment gateway systems in the fintech industry using AI-augmented OCR and intelligent workflow automation, especially with a focus on Azure Functions. The paper explores how these tools can make payment processing more efficient, scalable, and cost-effective by combining serverless computing with AI-driven technologies. Cases from financial institutions adopting Azure services, which indicate KPIs for transaction speed, operational efficiency, and total cost of ownership. Surveys from IT experts and system architects give real-world insight into h

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Parag, Bhardwaj. "Designing Multi-Tier Applications Using Azure App Services." International Journal on Science and Technology 11, no. 1 (2020): 1–13. https://doi.org/10.5281/zenodo.14613886.

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Building and deploying cloud based applications with Azure App Services provides a robust and scalable option for designing multi-tier applications. Azure App Services is a fully managed platform that makes it easier for developers to create, deploy, and host web apps, mobile backbends, and RESTful APIs—with minimal infrastructure management. With Azure’s integrated tools and services, this abstract will explore how to benefit and methodology for designing multi-tier applications. Once again, in a typical multi-tier architecture, the application is separated into different layers l

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Dibya, Darshan Khanal, and Maharjan Sushil. "Comparative security and compliance analysis of serverless computing platforms: AWS lambda, azure functions, and google cloud functions." i-manager’s Journal on Cloud Computing 11, no. 1 (2024): 36. http://dx.doi.org/10.26634/jcc.11.1.21044.

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Serverless computing has revolutionized cloud services by abstracting infrastructure management, enabling developers to focus on application logic. This paper 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, this paper aims to provide a comparative analysis that informs businesses and developers on the most secure and compliant platform for their needs.

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Jasim, Layth S., and Alaa S. Alwan. "Graphene oxide/(Carboxymethylcellulose-Sodium alginate-Acrylic acid) Surface: Synthesis and Characterization for Adsorptive Removal of Azure A from Aqueous Solutions." INTERNATIONAL JOURNAL OF DRUG DELIVERY TECHNOLOGY 12, no. 01 (2022): 74–80. http://dx.doi.org/10.25258/ijddt.12.1.14.

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Graphene oxide/(Carboxymethylcellulose-Sodium alginate-Acrylic acid) was studied as the adsorbent of Azure A dye. The time to reach the equilibrium state for Azure A adsorption on the surface of hydrogel composite GO/(CMC-SA-AAC) is 120 minutes. The rate of dye adsorption on the surface of the hydrogel composite was excellent because hydrogel composite has a large surface area to absorb the largest possible amount of dye. A pseudo-first-order and a pseudo-second-order model observed Azure A dye’s adsorption kinetics on the hydrogel composite GO/(CMC-SA-AAC) surface. Illustration using the adso

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Saxena, Vipin, Sugandha Singh, and Karm Veer Singh. "MRI Brain Tumor Prediction using Azure Streamlit Framework and Analysis of CNN Activation Functions." Indian Journal Of Science And Technology 16, no. 37 (2023): 3129–38. http://dx.doi.org/10.17485/ijst/v16i37.427.

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Kumar Joshi, Pavan. "Azure Functions in Payment Gateways: A Serverless Approach to Financial Systems." Journal of Artificial Intelligence & Cloud Computing 2, no. 1 (2023): 1–9. http://dx.doi.org/10.47363/jaicc/2023(2)390.

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The usage of cloud solutions in financial systems has opened up advanced solutions with scalable and efficient technologies. Merchants cannot afford any form of disruption when it comes to receiving payments; hence, payment gateways should exhibit high availability, security and performance.

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Su, Yongye, Yinqi Sun, Minjia Zhang, and Jianguo Wang. "Vexless: A Serverless Vector Data Management System Using Cloud Functions." Proceedings of the ACM on Management of Data 2, no. 3 (2024): 1–26. http://dx.doi.org/10.1145/3654990.

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Cloud functions, exemplified by AWS Lambda and Azure Functions, are emerging as a new computing paradigm in the cloud. They provide elastic, serverless, and low-cost cloud computing, making them highly suitable for bursty and sparse workloads, which are quite common in practice. Thus, there is a new trend in designing data systems that leverage cloud functions. In this paper, we focus on vector databases, which have recently gained significant attention partly due to large language models. In particular, we investigate how to use cloud functions to build high-performance and cost-efficient vec

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Immidisetti, Venkata Raman. "Data Tiering on Cloud Volumes ONTAP to Optimize Costs in Azure." International Journal of Multidisciplinary Research and Growth Evaluation. 1, no. 4 (2020): 55–58. https://doi.org/10.54660/.ijmrge.2020.1.4.55-58.

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Cloud Volumes ONTAP (CVO) is an enterprise-grade, software-defined storage solution developed by NetApp that extends the robust data management capabilities of the ONTAP operating system to cloud environments such as Microsoft Azure. One of the primary challenges encountered by organizations utilizing cloud storage is cost optimization, given the substantial price variations across different storage tiers based on performance and access frequency. Data tiering within Cloud Volumes ONTAP functions as a strategic mechanism to address this issue by dynamically migrating data between high-performa

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Tiutiunnyk, Petro B., and Natalia A. Rybachok. "Creating Web Application for Organizing Teamwork Online Using Microsoft Azure Cloud Services." Control Systems and Computers, no. 2-3 (292-293) (July 2021): 52–59. http://dx.doi.org/10.15407/csc.2021.02.052.

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Based on the services of the cloud platform Microsoft Azure developed a web application that solves problems that arise when organizing teamwork online. For the first time, the architecture of this type of software system based on Microsoft Azure cloud platform services has been proposed. The architecture is flexible and can be extended by adding new modules. Possibilities for improving the implementation of the software system in the following versions have been identified: expanding the tools of the AGILE methodology by including Scrum approaches; expanding real-time interaction, including r

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Koneru, Naga Murali Krishna. "Optimizing CI/CD Pipelines for Multi-Cloud Environments: Strategies for AWS and Azure Integration." Eastasouth Journal of Information System and Computer Science 2, no. 03 (2025): 288–310. https://doi.org/10.58812/esiscs.v2i03.534.

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CI/CD pipelines are essential for modern software development to speed up application delivery and ensure reliability. However, organizations experience considerable management difficulties when they operate Continuous Integration and Deployment workflows between AWS and Azure. The research discusses multiple approaches to optimizing CI/CD pipelines and demonstrates their integration between AWS and Azure systems. The complete implementation guidelines within the method include selecting tools and best practices along with the necessary architectural elements to construct secure, scalable, and

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Molnar, Vitalii, and Dmytro Sabodashko. "Comparative analysis of cybersecurity in leading cloud platforms based on the NIST framework." Journal of Scientific Papers "Social Development and Security" 14, no. 6 (2024): 68–80. https://doi.org/10.33445/sds.2024.14.6.8.

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Abstract Purpose: To examine the cybersecurity capabilities of three leading cloud platforms—AWS, Azure, and GCP—according to the five core functions of the NIST Cybersecurity Framework: identify, protect, detect, respond, and recover. Method: A comparative approach was used, covering the analysis of the tools and services of each platform for the implementation of NIST functions. Findings: The analysis demonstrated the strengths and weaknesses of AWS, Azure, and GCP in terms of identity, protection, detection, response, and recovery capabilities, highlighting the most effective tools for each

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Journal, Baghdad Science. "Local wheat peel as a solid surface to remove Azure B dye from aqueous solution:Equilibrium isotherms and thermodynamic study." Baghdad Science Journal 13, no. 2 (2016): 58–65. http://dx.doi.org/10.21123/bsj.13.2.58-65.

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In this research local wheat peel was used as an adsorbent surface for removal of Azure B (AB) dye from the aqueous solution. The adsorption process was performed at different experimental parameters, equilibrium time, temperature, ionic strength and solution pH. The isotherms of adsorption are of H-type as compared with Giles curves and the adsorption data were coincide with Freundlich equation. The adsorption kinetic data were analyzed using pseudo- first and second order kinetic models. The effect of temperature was studied and the amount of dye adsorbed was found to increase with the incre

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Li, Zhuo. "Design of Online Vocal Music Course Based on Azure-PaaS Platform." International Journal of Emerging Technologies in Learning (iJET) 12, no. 09 (2017): 17. http://dx.doi.org/10.3991/ijet.v12i09.7495.

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With the development of Web service of internet technology, more and more teaching functions can be achieved through network. The emergence of online courses adapts to the development trend of internet, and has become a new teaching model. We applied a WIFI-based intelligent PPT technology innovatively combined with Azure-PaaS cloud computing technology, and designed a new type of online course in the aspects of overall structure and teaching function (the realization of online course is established from 3 aspects: learning module, communication module and evaluation module) according to the c

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22

Vipin, Saxena, Singh Sugandha, and Veer Singh Karm. "MRI Brain Tumor Prediction using Azure Streamlit Framework and Analysis of CNN Activation Functions." Indian Journal of Science and Technology 16, no. 37 (2023): 3129–38. https://doi.org/10.17485/IJST/v16i37.427.

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Abstract <strong>Objective:</strong> The present research work is focused on brain tumor classification, prediction and to increase the performance to locate the tumor region. <strong>Methods:</strong> A two-dimensional Convolutional Neural Network (CNN) model is proposed to classify the Magnetic Resonance Images (MRI) into tumor and nontumor categories. The method is applied on a collected dataset consisting of 2056 MRI images. The model is implemented in Python with hyperparameter tuning and activation functions.<strong>Findings:</strong> In this paper, ReLU and LeakyReLU

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Uday Krishna Padyana, Hitesh Premshankar Rai, Pavan Ogeti, Narendra Sharad Fadnavis, and Gireesh Bhaulal Patil. "Server less Architectures in Cloud Computing: Evaluating Benefits and Drawbacks." Innovative Research Thoughts 6, no. 3 (2024): 1–12. http://dx.doi.org/10.36676/irt.v10.i3.1439.

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A highly efficient computer paradigm for optimising resource usage is emerging: cloud computing. Even with the advantages taken into account, switching to cloud technology is always dangerous from the customer's standpoint. Research on cloud computing that is currently available concentrates on technical issues including efficiency, quality, and security. On the other hand, the actualization of cloud computing is still a very new area of study. The new paradigm of server less computation, which allows developers to provide programmes as stateless functions without consideration for the infrast

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Naresh Kiran Kumar Reddy Yelkoti. "Comprehensive Security Framework for Serverless Computing: Integrating DevSecOps Practices in Aws Lambda and Azure Functions." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 1393–401. https://doi.org/10.30574/wjaets.2025.15.3.1052.

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Serverless computing has fundamentally transformed application architecture by abstracting infrastructure management, yet this paradigm shift introduces distinctive security challenges that conventional tools struggle to address. The ephemeral nature of serverless functions creates visibility gaps that leave organizations vulnerable to configuration drift, runtime attacks, and compliance violations. This article presents a comprehensive security framework that addresses these challenges through systematic integration of protection mechanisms across the entire serverless lifecycle. The framewor

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Klimovic, Ana. "The Case for a New Cloud-Native Programming Model with Pure Functions." ACM SIGMOD Record 54, no. 2 (2025): 50–51. https://doi.org/10.1145/3749116.3749128.

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Cloud evolution: Over the past two decades, the cloud has become the dominant platform for running all kinds of applications, from data analytics to web services. In the process, cloud platforms have evolved from renting virtual machines (VMs) on-demand to offering elastic compute and storage services. While the ability to support legacy applications was critical in the early days of cloud to ease migration from on-premise, today's users commonly develop cloud-native applications by composing cloud storage services (e.g., S3), compute services (e.g., AWS Lambda), data analytics services (e.g.,

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Chaplia, Oleh, Halyna Klym, and Edgars Elsts. "Serverless Ai Agents in the Cloud." Advances in Cyber-Physical Systems 9, no. 2 (2024): 115–20. https://doi.org/10.23939/acps2024.02.115.

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Integrating AI agents within serverless architectures offers a modern approach to deploying and executing intelligent applications. Leveraging the advantages of serverless computing, AI agents can dynamically respond to varying workloads without the overhead of managing the underlying infrastructure. This article explores the concept of scalable serverless AI agents in the cloud, detailing their architecture, benefits and drawbacks, challenges, and real-world applications. The paper provides advantages and drawbacks of the serverless approach. Then a proof-of-concept has been developed, deploy

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Ravinder Ramidi. "Cloud-Based API Gateways for Seamless Multi-Platform Integration." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2466–503. https://doi.org/10.32628/cseit25112723.

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Cloud-based API gateways offer vital solutions for integrating systems across diverse environments in today's multi-cloud landscape. These gateways provide centralized control for managing, securing, and optimizing API traffic across distributed systems, addressing challenges organizations face when operating across multiple platforms. Key gateway functions include request routing, protocol translation, authentication, rate limiting, caching, lifecycle management, and monitoring capabilities. Major providers—AWS, Azure, and Google Cloud—offer solutions with unique strengths suitable for differ

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Molleti, Ramasankar, and Anirudh Khanna. "EXPLORING SERVERLESS SECURITY: IDENTIFYING SECURITY RISKS AND IMPLEMENTING BEST PRACTICES." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–7. https://doi.org/10.55041/ijsrem6995.

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FaaS or Serverless computing extends the existing cloud computing by removing or abstracting the notion of a server and the need to scale up and down on demand. This paper seeks to discuss the security issues that are associated with serverless architecture, with special focus on authentication, data encryption, compliance issues and those risks that are unique to different vendors. It compares existing security architectures and measures and current industry benchmarks originating from premier cloud platforms such as AWS Lambda, Azure Functions, Google Cloud Functions. Some of the critical ri

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Suresh Kotha Naga Venkata Hanuma. "A single-click automation tool for azure site recovery: Enhancing disaster response efficiency." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2713–21. https://doi.org/10.30574/wjaets.2025.15.2.0839.

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A single-click automation tool for Azure Site Recovery (ASR) transforms disaster recovery operations from complex technical processes into streamlined business functions with predictable outcomes. This PowerShell-based solution addresses critical challenges in cross-region resource migration by implementing a multi-layered architecture that manages the entire migration lifecycle with minimal manual intervention. The automation framework encompasses resource discovery, dependency mapping, configuration transformation, and deployment orchestration, significantly reducing recovery times compared

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Vaibhav Vudayagiri. "Demystifying Serverless Architecture for Scalable Web Applications." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 254–63. http://dx.doi.org/10.32628/cseit24106176.

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Serverless computing has revolutionized the development and deployment of scalable web applications by abstracting infrastructure management and enabling automatic scaling. This article aims to demystify serverless architecture by thoroughly analyzing its core concepts, benefits, and practical implementation strategies. We differentiate between Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) models and explore how they contribute to scalability and cost efficiency. Deployment best practices are outlined using AWS Lambda, Azure Functions, and Google Cloud Functions. This article ad

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Anwar, Ashif. "Event-Driven Architecture in Distributed Systems: Leveraging Azure Cloud Services for Scalable Applications." European Journal of Computer Science and Information Technology 13, no. 29 (2025): 13–27. https://doi.org/10.37745/ejcsit.2013/vol13n291327.

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Event-driven architecture (EDA) represents a transformative paradigm in distributed systems development, enabling organizations to build more responsive, scalable, and resilient applications. By facilitating asynchronous communication through events that represent significant state changes, EDA establishes loosely coupled relationships between system components that can operate independently. This architectural approach addresses fundamental challenges in distributed systems including component coordination, state management, and fault isolation. Microsoft Azure cloud services provide comprehe

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Urvangkumar, Kothari. "The Revolutionizing Dairy Industry Analytics through Real-Time Data Engineering." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 3 (2020): 1–8. https://doi.org/10.5281/zenodo.14945246.

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The dairy industry is experiencing substantial changes because of powerful real-time data engineering and cloud computing technologies. Dairy enterprises employ SQL and NoSQL databases together with Microsoft Azure services as well as Power BI and Microsoft BI tools which help improve efficiency and optimize production and maintain regulatory compliance. This paper examines data engineering functions across predictive maintenance operations while analyzing livestock health surveillance alongside supply chain management and quality control systems. The research investigates the influence of AI-

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Pinnapareddy, Nishanth Reddy. "Serverless Computing & Function-as-a-Service (FaaS) Optimization." American Journal of Engineering and Technology 07, no. 04 (2025): 65–88. https://doi.org/10.37547/tajet/volume07issue04-09.

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Function-as-a-Service (FaaS) in cloud computing is a critical optimization problem that needs to be tackled, including cold start latency, resource inefficiency, state management, and more. While FaaS provides obvious scalability and lower cost benefits, the lack of availability of resources and the problem of cold starts to prevent it from being used for high-performance applications. Pre-warming, snapshotting, and on-demand instantiation with lightweight runtimes, such as WebAssembly, are other ways to minimize cold start delays. It also benchmarks major FaaS platforms (AWS Lambda, Google Cl

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Pinnapareddy, Nishanth Reddy. "Serverless Computing & Function-as-a-Service (FaaS) Optimization." American Journal of Engineering and Technology 05, no. 05 (2023): 17–41. https://doi.org/10.37547/tajet/volume05issue05-09a.

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Function-as-a-Service (FaaS) in cloud computing is a critical optimization problem that needs to be tackled, including cold start latency, resource inefficiency, state management, and more. While FaaS provides obvious scalability and lower cost benefits, the lack of availability of resources and the problem of cold starts to prevent it from being used for high-performance applications. Pre-warming, snapshotting, and on-demand instantiation with lightweight runtimes, such as WebAssembly, are other ways to minimize cold start delays. It also benchmarks major FaaS platforms (AWS Lambda, Google Cl

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Purba, Mariana, and Yadi Yadi. "Implementation Opinion Mining For Extraction Of Opinion Learning In University." SinkrOn 8, no. 2 (2023): 694–99. http://dx.doi.org/10.33395/sinkron.v8i2.11994.

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Opinion mining is a field of Natural Language Processing (NLP) that is used to carry out the process of extracting and processing textual data which functions to obtain information through sentiment analysis from a document in the form of text, among others, to detect attitudes towards objects or people. Sub-processes in opinion mining can use documents of subjectivity, opinion orientation, and detection targets to find out the data used as sentiment analysis, sentiment analysis aims to assess emotions, attitudes, opinions, and evaluations conveyed by a speaker or writer towards a product or t

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Sultana, Rebeka, and Farhana Zaman Rozony. "A META-ANALYSIS OF ARTIFICIAL INTELLIGENCE-DRIVEN DATA ENGINEERING: EVALUATING THE EFFECTIVENESS OF CLOUD-BASED INTEGRATION MODELS." ASRC Procedia: Global Perspectives in Science and Scholarship 01, no. 01 (2025): 193–214. https://doi.org/10.63125/8a5k2j16.

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This study conducts a comprehensive meta-analysis to evaluate the effectiveness of artificial intelligence (AI)-driven data engineering approaches within cloud-based integration models. Drawing from 122 peer-reviewed studies published between 2015 and 2025—with a combined citation count exceeding 25,000—this research synthesizes empirical findings on how AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing are transforming core data engineering functions. The analysis focuses on performance outcomes related to data ingestion, transforma

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Dr.A.Shaji, George, George A.S.Hovan, and Dr.T.Baskar. "Unshackled by Servers: Embracing the Serverless Revolution in Modern Computing." Partners Universal International Research Journal (PUIRJ) ISSN: 2583-5602 02, no. 02 (2023): 229–40. https://doi.org/10.5281/zenodo.8051052.

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Over the past few years, serverless computing has emerged as a transformative paradigm in contemporary computing, supplying a brand new degree of abstraction and scalability to developers and corporations. This research survey aims to provide a comprehensive evaluation of serverless computing, exploring its foundations, platforms, use instances, challenges, and future directions. We start by analyzing the fundamental principles of serverless computing, such as its key additives and advantages. Next, we evaluate and compare the principle serverless systems and services, which include AWS Lambda

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Mihok, Steve, Jean-Paul Descôteaux, Todd Lawton, Anya Lobreau, and Bill Schwartz. "The azurocyte: a new kind of leukocyte from wild voles (Microtus)." Canadian Journal of Zoology 65, no. 1 (1987): 54–62. http://dx.doi.org/10.1139/z87-009.

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We have identified a new mammalian leukocyte from voles (Cricetidae, Microtus). This "azurocyte" is a large mononuclear cell with numerous cytoplasmic inclusions that stain purple with azure dyes. The cell resembles a young lymphocyte with numerous mitochondria, a prominent Golgi complex, and modest amounts of rough endoplasmic reticulum. The inclusions are homogeneous, membrane-bound, electron-dense bodies that contain a highly acidic, sulphated glycosaminoglycan, glycoprotein, nonspecific esterase, β-glucuronidase, and an aminopeptidase. Azurocytes are common in adult voles, particularly pre

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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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Pavlyha, Pavlo. "WAYS OF USING CLOUD SERVICES FOR TRAINING IT BACHELORS." Alfred Nobel University Journal of Pedagogy and Psychology 1, no. 29 (2025): 220–29. https://doi.org/10.32342/3041-2196-2025-1-29-19.

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The rapid evolution of information technologies (IT) necessitates continuous updates to educational programs to equip future specialists with relevant skills. Integrating modern cloud services into the training process for IT bachelors has become crucial for enhancing practical skills and ensuring graduates are com- petitive in the job market. This article explores the multifaceted application of cloud technologies in IT ed- ucation. The purpose of this study is to outline the ways cloud technologies can be applied in the preparation of IT bachelors across various specializations, compile a li

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Chitnis, Ashitosh. "Reimagining Financial Planning and Analysis: AI-Driven Innovations in Forecasting, Scenario Modeling, and Governance." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 8, no. 1 (2025): 232–40. https://doi.org/10.60087/jaigs.v8i1.372.

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The discipline of Financial Planning and Analysis (FP&A) is undergoing a fundamental transformation, driven by the integration of artificial intelligence (AI) into core planning functions. This article explores how AI is reshaping forecasting accuracy, scenario planning agility, and governance frameworks within FP&A. It highlights the growing use of machine learning for predictive forecasting, natural language processing (NLP) tools to streamline analyst workflows, and real-time scenario modeling to enhance strategic responsiveness. The paper also addresses critical issues of data inte

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B, Seetaiah. "Optimizing IoT Device Connectivity and Data Flow Management Using Azure Functions and Event Hubs: A Scalable Framework for Modern Applications." International Journal of Science, Engineering and Technology 12, no. 1 (2024): 1–12. http://dx.doi.org/10.61463/ijset.vol.12.issue1.597.

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Thompson, Suzanne E., Mark Smith, Mark C. Wilkinson, and Keith Peek. "Identification and Characterization of a Chitinase Antigen from Pseudomonas aeruginosa Strain 385." Applied and Environmental Microbiology 67, no. 9 (2001): 4001–8. http://dx.doi.org/10.1128/aem.67.9.4001-4008.2001.

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ABSTRACT A chitinase antigen has been identified in Pseudomonas aeruginosa strain 385 using sera from animals immunized with a whole-cell vaccine. The majority of the activity was shown to be in the cytoplasm, with some activity in the membrane fraction. The chitinase was not secreted into the culture medium. Purification of the enzyme was achieved by exploiting its binding to crab shell chitin. The purified enzyme had a molecular mass of 58 kDa by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and a pI of 5.2. NH2-terminal amino acid sequencing revealed two sequences of M(I/L)RID a

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MELNYK, Anatoliy, and Bohdan ZIMCHENKO. "CRISP-FUZZY RULE MANAGEMENT IN THE CLOUD: ENABLING SCALABLE DECISION-MAKING FOR CYBER-PHYSICAL SYSTEMS." Computer systems and information technologies, no. 1 (March 27, 2025): 163–70. https://doi.org/10.31891/csit-2025-1-19.

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Today, many cyber-physical systems (CPS) rely on local decision-making frameworks that often fail to address both precise thresholds and the ambiguity inherent in sensor data. There is a need to develop a scalable, cloud-based decision support system (DSS) that unifies crisp rule evaluation with fuzzy logic to improve decision accuracy and responsiveness across diverse applications. The aim of this paper is to design and implement a cloud-hosted crisp-fuzzy rule management system that supports centralized rule administration and asynchronous processing for multiple CPS domains. Our approach em

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Berghaus, Frank, Tobias Wegner, Mario Lassnig, et al. "Integrating a dynamic data federation into the ATLAS distributed data management system." EPJ Web of Conferences 214 (2019): 07009. http://dx.doi.org/10.1051/epjconf/201921407009.

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Input data for applications that run in cloud computing centres can be stored at remote repositories, typically with multiple copies of the most popular data stored at many sites. Locating and retrieving the remote data can be challenging, and we believe that federating the storage can address this problem. In this approach, the closest copy of the data is used based on geographical or other information. Currently, we are using the dynamic data federation, Dynafed, a software solution developed by CERN IT. Dynafed supports several industry standard interfaces, such as Amazon S3, Microsoft Azur

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Rinki*1&, Er.Karandeep Singh2. "SECURING DATA STORAGE ON AMAZON AWS S3." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 9 (2018): 23–29. https://doi.org/10.5281/zenodo.1408017.

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Cloud Computing is a phenomenon technology that has enabled many other technologies like Internet of Things, Artificial Intelligence as Cloud has solved many problems like storage over the internet and sensors connectivity with the applications which can be controlled from anywhere. This paper describes the introduction to cloud computing, its types and benefits. Companies like Amazon and Microsoft are providing the best cloud services with plethora of functions with their products like AWS and Azure. One of the biggest problem related with Cloud is Security as data is stored in third party in

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Gananda, Hayardisi, Boro Seminar Kudang, and Ramadhan Arief. "Analysing Signal Strength and Connection Speed in Cloud Networks for Enterprise Business Intelligence." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 4 (2018): 1779–84. https://doi.org/10.12928/TELKOMNIKA.v16i4.8454.

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Signal strength and speed connection data which are collected and available in a company have not been optimally and beneficially processed and stored for more added value business purposes. Therefore, the collected data need to be utilized in more strategic way for business intelligent in the company that enables management to conduct better and smarter decision making. This research is aimed to develop a business intelligence system based on cloud computing platform which is more flexible and manageable in terms of cost and resources. The developed system adopts the three tier architectures

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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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Thota, Praveen Kumar. "Serverless Automation Framework for Scalable and Fault-Tolerant Cloud Operations." International Scientific Journal of Engineering and Management 01, no. 02 (2022): 1–8. https://doi.org/10.55041/isjem00139.

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Progress in cloud computing has resulted in different ways of building, rolling out, and maintaining today’s applications. Serverless computing, which emerged during this period, takes care of managing servers and allows developers to focus only on their code and what it does. The paper looks carefully at a serverless automation framework capable of ensuring scalability and fault tolerance in dynamic cloud. With serverless computing, users rely on event-based architectures and can take advantage of cloud services that handle scaling, keep the system running, and manage billing which is a major

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Feng, Liying, Liyao Ma, and Giapweng Ng. "Personalized customization system solution using augmented reality technology." MATEC Web of Conferences 336 (2021): 05017. http://dx.doi.org/10.1051/matecconf/202133605017.

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This paper presents a personalized clothing customization system using Augmented Reality (AR) technology. The goal of this paper is creating a more interactive and immersive experience for tailor designer by bridging physical personalized clothing customization and digital resources. This system can make the traditional clothing customization process more convenient and efficient and has strong interaction and experience. At the same time, it reduces the time cost, labor cost and material cost of sample making in the traditional clothing customization process. This paper discusses the feasibil

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