Quality of Service (QoS) Assurance in Edge Computing Environment

Authors

Abhishek Singh

Abstract

Edge computing has emerged as a revolutionary paradigm in the computing landscape, bringing data processing closer to the sources of data generation to reduce latency and improve performance. As the reliance on edge computing grows, particularly in critical applications such as autonomous vehicles, smart cities, and real-time healthcare systems, maintaining a high Quality of Service (QoS) becomes increasingly essential. [1].This paper explores the multifaceted challenges and opportunities associated with ensuring QoS in edge computing environments. It delves into key QoS metrics such as latency, jitter, packet loss, and bandwidth, and discusses various testing techniques and protocols. The paper also addresses the unique challenges posed by the decentralized and heterogeneous nature of edge networks, including network variability and resource constraints. Through case studies of real-world applications, this paper highlights successful QoS implementations and identifies areas needing further research.[2] Looking ahead, the paper examines future trends such as the integration of artificial intelligence and machine learning for predictive QoS management, the impact of 5G and beyond on edge computing, and the expanding role of IoT devices. Ultimately, this research aims to provide a comprehensive understanding of the critical importance of QoS in edge computing and offer insights into potential future developments in this dynamic field.[3]

Keywords

Edge Computing, Quality of Service, 5G, IoT, Latency, Reliability

Quality of Service (QoS) Assurance in Edge Computing Environment. Abhishek Singh. 2023. IJIRCT, Volume 9, Issue 1. Pages 1-10. https://www.ijirct.org/viewPaper.php?paperId=2412106