Towards Consolidating Industrial Use Cases on a Common Fog Computing Platform
Autor: | Patrick Denzler, Wolfgang Kastner, Jan Ruh, Cosmin Avasalcai, Marine Kadar |
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Rok vydání: | 2020 |
Předmět: |
Industry 4.0
business.industry Computer science 020208 electrical & electronic engineering Cloud computing 02 engineering and technology Virtualization computer.software_genre 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Use case Resource management Software engineering business Communications protocol Central element computer Edge computing |
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 |
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