Towards Consolidating Industrial Use Cases on a Common Fog Computing Platform

Patrick Denzler, Jan Ruh, Marine Kadar, Cosmin Avasalcai, Wolfgang Kästner

2020 · 14 citations · 19 references

Concepts

TL;DR

Converging IT and OT in modern factories is challenging, and approaches such as Cloud, Fog, and Edge computing aim to bridge OT’s real‑time needs with IT’s computational focus. This paper presents three industrial use cases that consolidate functionality on a common Fog computing platform. All use cases employ the same Fog Computing Platform, whose Fog Node is built on commercial off‑the‑shelf multicore processors with virtualization, advanced security, state‑of‑the‑art communication, and resource‑management tools, illustrating how edge‑proximal resources can be leveraged. The study concludes by outlining future research challenges, comparing the proposed platform against the derived requirements.

Abstract

Converging Information Technology (IT) and Operations Technology (OT) in modern factories remains a challenging task. Several approaches such as Cloud, Fog or Edge computing aim to provide possible solutions for bridging OT that requires strict real-time processing with IT that targets computing functionality. In this context, this paper contributes to ongoing Fog computing research by presenting three industrial use cases with a specific focus on consolidation of functionality. Each use case exemplifies scenarios on how to use the computational resources closer to the edge of the network provided by a Fog Computing Platform (FCP). All use-cases utilize the same proposed FCP, which allows drawing a set of requirements on future FCPs, e.g. hardware, virtualization, security, communication and resource management. The central element of the FCP is the Fog Node (FN), built upon commercial off-the-shelf (COTS) multicore processors (MCPs) and virtualization support. Resource management tools, advanced security features and state of the art communication protocols complete the FCP. The paper concludes by outlining future research challenges by comparing the proposed FCP with the identified requirements.

References

19