FOG COMPUTING WITH INTERNET OF THINGS : AN OVERVIEW OF ARCHITECTURE, ALGORITHMS, CHALLENGES AND APPLICATIONS
Abstract
Fog is an early design for data storage, computing, and application control. It includes both control and data planes and is useful in wired and wireless contexts. As a 5G, Internet of Things(IoT), and integrated artificial intelligence(AI) architecture, it supports an expanding variety of applications. Performance, security, latency, and network failure are just a few of the problems that integrated cloud computing (CC) must contend with as IoT applications continue to develop. The evolution of fog computing(FC) offers a solution to these issues by putting CC closer to the IoT. The main purpose of the fog is to deliver the data produced by the edge IoT devices. Instead of sending the data to a cloud server, local processing and data storage are carried out at the fog node(FN). When compared to the cloud, FC offers high-quality, quick-response services. FC may thus be the best choice for enabling the IoT to provide a reliable and highly secure service to a large number of IoT customers. In this article, we present the characteristics, architecture, integration with the IoT, and problem of FCs.
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