Edge Computing Archi...

The spread of Internet of Things (IoT) devices has led to an exponential increase in data generation, transmission, and processing. However, the traditional cloud-centric approach to IoT data processing has several limitations, including high potential, bandwidth limitations, and security worries. Edge computing has emerged as a capable solution to address these challenges by processing data closer to the source, i.e., at the edge of the network. This paper presents an all-inclusive review of edge computing architecture within the application area of IoT devices. We discussed the key components, architectures, and technologies that enable edge computing, including fog computing, mist computing, and cloudlet. We also explore the benefits and challenges of edge computing in IoT applications, such as real-time processing, reduced latency, improved security, and increased scalability. Furthermore, we identify the research gaps and future directions in edge computing for IoT devices, including the need for homogeneous architectures, efficient resource management, and robust security devices.