Towards Consolidating Industrial Use Cases on a Common Fog Computing Platform

Autor: Patrick Denzler, Wolfgang Kastner, Jan Ruh, Cosmin Avasalcai, Marine Kadar
Rok vydání: 2020
Předmět:
Zdroj: ETFA
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
DOI: 10.5281/zenodo.5856421
Popis: 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.
Databáze: OpenAIRE