Advancements in Edge Computing: Architectures, Challenges, and Opportunities

Abstract

Edge computing has emerged as a transformative paradigm, bringing data processing, storage, and analytics closer to end devices and users. This shift addresses the limitations of traditional cloud computing, such as high latency, bandwidth constraints, and data privacy concerns. This paper presents a comprehensive overview of recent advancements in edge computing, focusing on its architectural frameworks, technological enablers, and integration with other emerging technologies, such as 5G, artificial intelligence (AI), and the Internet of Things (IoT). Key challenges, including resource management, security, and scalability, are examined, along with innovative solutions proposed in contemporary research. Furthermore, the paper explores the growing opportunities in sectors such as healthcare, smart cities, autonomous vehicles, and industrial automation. By synthesizing current research trends, this study aims to provide valuable insights for researchers, practitioners, and policymakers in harnessing the full potential of edge computing for the next generation of intelligent applications.