Abstract
Low latency and on demand resource availability enable fog computing to host industrial applications in a cloud like manner. One industrial domain which stands to benefit from the advantages of fog computing is robotics. However, the challenges in developing and implementing a fog-based robotic system are manifold. To illustrate this, in this paper we discuss a system involving robots and robot cells at a factory level, and then highlight the main building blocks necessary for achieving such functionality in a fog-based system. Further, we elaborate on the challenges in implementing such an architecture, with emphasis on resource virtualization, memory interference management, real-time communication and the system scalability, dependability and safety. We then discuss the challenges from a system perspective where all these aspects are interrelated.
Originalsprache | Englisch |
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Titel | 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
Erscheinungsort | IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
Seiten | 61 - 68 |
ISBN (elektronisch) | 978-1-7281-8956-7 |
DOIs | |
Publikationsstatus | Veröffentlicht - Sept. 2020 |
Research Field
- Enabling Digital Technologies