Analysis of multi-dimensional Industrial IoT (IIoT) data in Edge-Fog-Cloud based architectural frameworks : A survey on current state and research challenges

Cloud computing is changing the traditional ways of computing using its different forms and architectural types such as Edge and Fog computing. These computing frameworks are the extensions of the basic cloud computing model and promise to offer improved network performance. The trio of these technologies forms a new domain called Edge-Fog-Cloud environment and is consistently being explored by researchers across the world. Numerous industrial applications use cloud resources and its services to avail the related benefits. Most of these industrial applications use a large number of power-sensitive devices that generate a huge volume of data. This data is termed as Industrial IoT (IIoT) data, and includes multi-dimensional information in its pool. This voluminous data pool need to be analyzed carefully to offer deep rooted insights that may help rejuvenate the system and boost its performance. This paper provides detailed coverage of the Edge-Fog- Cloud-based architectural frameworks, compares their pros and cons, and explores the scientific side of the multi-dimensional IIoT data. In addition to this, the current state-of-the-art and respective implementation challenges are also highlighted.