Paper Key : IRJ************127
Author: Siddharth Mahesh Bhanage,Smita Pradip Patil
Date Published: 15 Apr 2024
Abstract
As the need for real-time data processing and low-latency applications continues to rise, edge computing has emerged as a critical option that is revolutionizing the traditional centralized approach to computing. This article provides a thorough introduction to edge computing, exploring its underlying theories, structural models, and diverse range of uses. Edge computing reduces latency and maximizes bandwidth utilization at the network edge by enabling quick data processing and analysis due to its decentralized structure and close proximity to data sources. Numerous architectural models, such as mobile edge computing and fog computing, provide adaptable deployment choices for a range of use cases and infrastructure needs. We investigate the numerous applications of edge computing in sectors such as smart cities, healthcare, and the Internet of Things (IoT) by fusing theoretical knowledge with real-world examples. In a range of applications, such as real-time healthcare monitoring, traffic management in urban settings, and improved IoT device connectivity, edge computing has the potential to unleash new heights of efficiency, scalability, and creativity. The purpose of this article is to give researchers, practitioners, and stakeholders a thorough grasp of the revolutionary potential of edge computing and how it will influence distributed computing and data-driven decision-making in the future.
DOI LINK : 10.56726/IRJMETS52305 https://www.doi.org/10.56726/IRJMETS52305