Analyzing Performance Bottlenecks in Edge Computing: Strategies for Identification and Mitigation in IoT-Driven Applications

Abstract

Edge computing has emerged as a critical paradigm in the Internet of Things (IoT), facilitating real-time data processing and reducing latency by bringing computation closer to the data source. However, performance bottlenecks can significantly hinder the efficiency and responsiveness of edge computing systems, particularly in IoT applications where resource constraints are prevalent. This paper analyzes the common performance bottlenecks in edge computing and presents strategies for their identification and mitigation. Through a review of existing literature and case studies, we explore various methodologies and tools used to diagnose bottlenecks, as well as best practices for optimizing edge computing performance.