Future Opportunistic Fog/Edge Computational Models and their Limitations

The Internet‐of‐Things (IoT) is the possible future of the Internet, where everything will be connected. The IoT is required to interface with billions of devices and individuals to bring positive benefits to us all. With this advance, cloud computing, close to its edge, prepares perfect models, for instance, multi access edge computing (MEC) and cloudlets, are seen as promising responses for dealing with the large volume of security‐important and time‐sensitive data that is being created by the IoT. Studies have revealed that Fog/Edge Computing (FEC) based organizations will assume an essential role in expanding the cloud by means of go‐between organizations at the edge of the framework. Dimness/Edge Computing‐based IoT's (DECIoT) configure service organization provisioning near the Cloud‐to‐Things continuum, thus making it appropriate for key applications. Moreover, the proximity of fog/edge devices to where the data is created makes it extend the advantage partition, organization transport, and assurance. Edge and fog registering are closely related – both indicate the ability to process information closer to the requester/buyer to reduce idleness cost and improve client experience. Both can channel information before it “hits” a major information lake for further utilization, reducing the amount of information that can be handled. The essential idea of edge and fog processing is to move information rationale (basically around information approval/information sentence structure checks) to an external ring of capacities. In this chapter we review the difficulties and future directions to be investigated in the role of fog, edge and pervasive computing.