Implementing Edge Computing in Telecommunication Networks for Reduced Latency and Improved Reliability

Abstract

Edge computing represents a transformative approach in telecommunications by enabling data processing closer to its source, significantly enhancing network performance. This paper investigates the implementation of edge computing within telecommunication networks, focusing on its potential to reduce latency and improve reliability. By decentralizing computing resources and processing data at the network edge, edge computing addresses the challenges of high latency and bandwidth constraints associated with centralized data centers. The paper explores the core principles of edge computing, including its benefits such as reduced latency, increased reliability, and improved bandwidth efficiency. It proposes a framework for integrating edge nodes into existing network infrastructures, detailing architectural design, deployment strategies, and management techniques. It examines the challenges associated with security, scalability, and integration with legacy systems, offering practical solutions to address these issues. Through case studies of successful implementations and analysis of emerging technologies, the paper provides insights into the future of edge computing in telecommunications. The findings underscore the importance of edge computing in meeting the demands of modern, real-time applications and offer guidance for telecom operators seeking to leverage this technology for enhanced network performance.