You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Real-time Fog-based Industrial Robotic System: Applications and Challenges

Fulltext:


Authors:

Shaik Salman, Václav Struhár, Zeinab Bakhshi , Van Lan Dao, Nitin Desai, Alessandro Papadopoulos, Thomas Nolte, Vasileios Karagiannis , Stefan Schulte , Alexandre Venito , Gerhard Fohler

Publication Type:

Conference/Workshop Paper

Venue:

The 25th IEEE International Conference on Emerging Technologies and Factory Automation

DOI:

10.1109/ETFA46521.2020.9211887


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.

Bibtex

@inproceedings{Salman6110,
author = {Shaik Salman and V{\'a}clav Struh{\'a}r and Zeinab Bakhshi and Van Lan Dao and Nitin Desai and Alessandro Papadopoulos and Thomas Nolte and Vasileios Karagiannis and Stefan Schulte and Alexandre Venito and Gerhard Fohler},
title = {Real-time Fog-based Industrial Robotic System: Applications and Challenges},
pages = {61--68},
month = {September},
year = {2020},
booktitle = {The 25th IEEE International Conference on Emerging Technologies and Factory Automation},
url = {http://www.es.mdu.se/publications/6110-}
}