The Internet of Things, Fog and Cloud Continuum: Integration and Challenges

TL;DR

This paper reviews the integration of IoT, fog, and cloud computing, highlighting their roles, management challenges, and potential benefits in handling increasing data and application demands at the network edge.

Contribution

It provides a comprehensive literature review of IoT-Fog-Cloud architectures, discussing organization, management, benefits, and unresolved challenges in this ecosystem.

Findings

Fog computing reduces data transfer to the cloud.

Hierarchical architecture improves latency and efficiency.

Several management and integration challenges remain.

Abstract

The Internet of Things needs for computing power and storage are expected to remain on the rise in the next decade. Consequently, the amount of data generated by devices at the edge of the network will also grow. While cloud computing has been an established and effective way of acquiring computation and storage as a service to many applications, it may not be suitable to handle the myriad of data from IoT devices and fulfill largely heterogeneous application requirements. Fog computing has been developed to lie between IoT and the cloud, providing a hierarchy of computing power that can collect, aggregate, and process data from/to IoT devices. Combining fog and cloud may reduce data transfers and communication bottlenecks to the cloud and also contribute to reduced latencies, as fog computing resources exist closer to the edge. This paper examines this IoT-Fog-Cloud ecosystem and provides a literature review from different facets of it: how it can be organized, how management is being addressed, and how applications can benefit from it. Lastly, we present challenging issues yet to be addressed in IoT-Fog-Cloud infrastructures.