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Enabling Fog-based Industrial Robotics Systems

Salman Shaik, Mohammad (author)
Mälardalens högskola,Inbyggda system
Struhar, Vaclav (author)
Mälardalens högskola,Inbyggda system
Bakhshi Valojerdi, Zeinab, 1986- (author)
Mälardalens högskola,Inbyggda system
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Dao, Van-Lan (author)
Mälardalens högskola,Inbyggda system
Desai, Nitin, 1986- (author)
Mälardalens högskola,Inbyggda system
Papadopoulos, Alessandro (author)
Mälardalens högskola,Inbyggda system
Nolte, Thomas (author)
Mälardalens högskola,Inbyggda system
Karagiannis, Vasileios (author)
TU Wien, Austria
Schulte, Stefan (author)
TU Wien, Austria
Venito, Alexandre (author)
TU Kaiserslautern, Germany
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 (creator_code:org_t)
2020
2020
English.
In: The 25th International Conference on Emerging Technologies and Factory Automation ETFA2020. - 9781728189567
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

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