Edge Computing - Adaptation and Research

Abstract

With the proliferation of IoT Growing demand for real-time data analysing and electronics, edge computing has emerged as a promising solution for lowering latency and enhancing data processing effectiveness. In study, we examine the most recent developments in edge computing at the moment, including its architectures, technologies, applications.

Reduced latency and increased processing efficiency can both be achieved using edge computing, which has emerged as a potential approach. Edge computing offers a distributed computing paradigm that moves computation and data storage closer to the edge of the network, reducing communication latency and improving the user experience overall. This is necessary given the proliferation of IoT devices and the rising demand for real-time data processing. The latest developments in edge computing, including its architectures, technologies, and applications, is reviewed in this study. We also go into the advantages and difficulties of edge computing, including how it may support new services and applications as well as raise privacy and security issues.

Finally, we outline the future research goals in this field and provide some examples of edge computing applications in a variety of industries, including smart transportation, healthcare, and industrial automation. Our findings show that edge computing can significantly improve energy efficiency, scalability, and latency reduction (Cao, 2020; Cao, 2020; Cao, 2020; Gonzalez, Thomas, and Hunt, March 5, 2020) while also transforming how we process and analyse data in real-time.