Featured Image (Width 750px, Height 340px)
Featured Image Caption
Featured Image Credit
Future factories in the Cloud (FiC)
We envision future factories being designed by compositions of smart connected components, with a large part of the intelligence residing in the Cloud. This will enable increased flexibility and evolvability of manufacturing, as well as pave the way for new business models where production facilities can be accessible as cloud services.
Moving a large part of the production complexity to the Cloud has benefits in cost, energy efficiency, sharing of resources, increased flexibility, adaptability and evolvability, and provide in general a strong basis for innovation. There are however associated challenges, including providing efficient and predictable (safe and secure) computation and communication, and coping with the huge amounts of data needed to provide the envisioned intelligence. These challenges are particularly demanding in safety-relevant systems, such as transportation and manufacturing.
FiC will provide generic solutions for Future factories in the Cloud in the form of an integrated set of techniques and generic tools for future smart products and production systems, including architectural templates for cloud based production; algorithms and tools for safe and secure communication and computation, specifically handling big-data; and techniques for efficient and predictable sharing of computation and communication resources. The research will be based on real usage scenarios and results demonstrated and evaluated in industrial contexts.
Partner organizations
- University of York (Academic, United Kingdom)
- Mälardalens högskola (Academic, Sweden)
- Uppsala University (Academic, Sweden)
Start date
01/01/2016
End date
The project is closed: 31/12/2021
-
Associate professor in the Computer and Network Systems division, Department of Computer Science and Engineering,
Earlier with the Max-Planck Inst. for Computer Science, Saarbruecken and CWI, Amsterdam, Ph.D. degree from the Computer Science and Informatics Dept., Patras Un.. Member of Network of National...
-
Associate professor, Computer and Network Systems division, Department of Computer Science and Engineering.
More details on personal website vincenzogulisano.com
-
PhD Student, Computer and Network Systems division, Department of Computer Science and Engineering.
-
PhD Student, Computer Network and Systems division, Department of Computer Science and Engineering.
-
Postdoc, Networks and Systems division, Department of Computer Science and Engineering.
More details on personal website: http://www.cse.chalmers.se/~ioaniko/
-
Professor, division of Computer and Network Systems, Department of Computer Science and Engineering.
Funded by
- Swedish Foundation for Strategic Research (SSF) (Non Profit, Sweden)
This page is only available in english