Paper Key : IRJ************894
Author: Vamshi Krishna S
Date Published: 11 Jul 2024
Abstract
In the rapidly evolving landscape of information technology, Edge Computing and Cloud Computing have emerged as pivotal paradigms that redefine data processing, storage, and management. This abstract aims to provide a comparative overview of these two computing models, highlighting their fundamental principles, advantages, and challenges.Edge Computing refers to the practice of processing data closer to its source, at the "edge" of the network, rather than relying on a centralized data-processing warehouse. This approach minimizes latency, reduces bandwidth usage, and enhances real-time data processing capabilities. It is particularly advantageous for applications requiring immediate data analysis and response, such as autonomous vehicles, industrial automation, and IoT devices. However, Edge Computing faces challenges in terms of scalability, data security, and managing distributed infrastructures.On the other hand, Cloud Computing involves delivering computing servicesincluding servers, storage, databases, networking, software, and analyticsover the internet ("the cloud"). It offers significant benefits in terms of scalability, flexibility, and cost-efficiency by allowing businesses to scale resources according to demand and only pay for what they use. Cloud Computing is well-suited for data-intensive applications, large-scale analytics, and enterprise-level operations. Despite its advantages, Cloud Computing can suffer from latency issues, especially for real-time applications, and poses risks related to data privacy and compliance.