An Investigation of Integrating the Edge of things, IOT and Cloud in a Distributed Computing Environment

Abstract

Business 4.0, usually referred to as the fourth industrial revolution, aims to achieve automation, dependability, and control in industrial production and manufacturing environments by promoting the mass adoption of smart computing and network technologies. It entails developing an Industrial Internet of Things system. (I-IoT). I-IoT is concerned primarily with deploying the Industrial Internet of Things (IoT) in the industrial system environment to enable connectivity of everything, everywhere, and at any time in order to boost productivity, efficiency, safety, and awareness. These techniques could potentially broadcast into additional difficulties and problems related to network dynamics, increasing latency and traffic as well as the networking reaction time overhead. A paradigm shift dubbed edge computing (EC) is offered to open the door for the development of modern apps and services in order to avoid these connection issues and achieve the greatest degree of resource utilization. Several Iot systems, including smart grid, smart traffic lights, smart cities, and smart cars, are quickly upgrading their applications using EC, which vastly improves reaction time and saves internet bandwidth. Despite the fact that that EC moves workloads from a cloud architecture to the edge, research is still being done on how EC and the cloud compare in terms of aspects like resources development and compute performance. The application of pattern recognition in a I-IoT environment, as well as unique problems and the need for more study in the areas of computing, networking, and control systems, are what we highlight in our findings.