Event-Driven Cloud Architectures for Real-Time Data Processing
Year: 2025
Type: article
Abstract: Real-time data processing has emerged as a cornerstone of modern cloud applications, necessitating innovative architectural designs. This paper presents an event-driven cloud architecture tailored for handling dynamic workloads and high-throughput data streams. By leveraging serverless computing, asynchronous communication protocols, and distributed message brokers, the architecture achieves unparalleled responsiveness and scalability. Comparative evaluations illustrate its superiority over traditional architectures in terms of latency, throughput, and fault resilience. The findings underscore the critical role of event-driven paradigms in addressing the challenges of real-time data-intensive applications within cloud environments.
Source: Economic Sciences.
DOI: 10.69889/mh3b4e97
Author: Srinivasa Subramanyam Katreddy
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408738581