Olutayo Ojuawo & Folahan Jiboku

Edge computing has emerged as a promising paradigm for processing and analyzing data closer to the source, enabling low-latency, real-time, and context-aware applications. In this paper, we present a comprehensive survey of edge computing architectures and frameworks such as fog computing and hybrid edge. We explore various design principles, discuss their advantages, limitations, and performance characteristics, and provide insights into their suitability for different use cases and applications. This survey aims to provide researchers, practitioners, and industry professionals with a deeper understanding of the current landscape of edge computing architectures and frameworks. Keywords: Edge computing, Fog computing, Hybrid edge computing, Architectures, Framework 0150