Document worth reading: “Industrial Internet of Things (IIoT) Applications of Edge and Fog Computing: A Review and Future Directions”

With quick technological developments inside the world of Internet of Things (IoT), sturdy tendencies have emerged which level out a quick progress throughout the amount of smart items linked to IoT networks and this progress cannot be supported by standard cloud computing platforms. In response to the elevated functionality of data being transferred over networks, the sting and fog computing paradigms have emerged as terribly viable frameworks that shift computational and storage belongings within the course of the sting of the neighborhood, thereby migrating processing power from centralized cloud servers to distributed LAN belongings and extremely efficient embedded items contained in the neighborhood. These computing paradigms, attributable to this reality, have the potential to help large IoT networks of the long term and have moreover fueled the event of IoT strategies inside industrial settings, ensuing within the creation of the Industrial Internet of Things (IIoT) experience that is revolutionizing industrial processes in a ramification of domains. In this paper, we elaborate on the have an effect on of edge and fog computing paradigms on IIoT. We moreover highlight the how edge and fog computing are poised to hold a pair of turnaround in a quantity of industrial capabilities by method of a use-case methodology. Finally, we conclude with the current factors and challenges confronted by these paradigms in IIoT and suggest some evaluation directions that should be adopted to resolve these points and velocity up the variation of edge and fog computing in IIoT. Industrial Internet of Things (IIoT) Applications of Edge and Fog Computing: A Review and Future Directions