Record link: 
http://hdl.handle.net/20.500.12708/81178
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Title: 
Distributed Computing Continuum Systems
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Citation: 
Dustdar, S. (2022). Distributed Computing Continuum Systems. In C. A. ARDAGNA, H. Bian, C. K. Chang, R. N. Chang, ernesto damiani, S. Dustdar, J. Marco, M. Singh, E. Teniente, R. Ward, Z. Wang, F. XHAFA, & J. Zhang (Eds.), Proceedings of the IEEE International Conference on Services Computing (IEEE SCC 2022) (pp. 356–356). IEEE. https://doi.org/10.1109/SCC55611.2022.00060
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Publisher DOI: 
10.1109/SCC55611.2022.00060
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Dustdar, Schahram 
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Organisational Unit: 
E194-02 - Forschungsbereich Distributed Systems 
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Published in: 
Proceedings of the IEEE International Conference on Services Computing (IEEE SCC 2022) 
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ISBN: 
978-1-6654-8147-2
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DOI of the book: 
10.1109/SCC55611.2022
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Date (published): 
24-Aug-2022
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Event name: 
Panel Session at the IEEE International Symposium on Software Services Engineering (ISASSE 2022) part of IEEE SCC 2022 
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Event date: 
11-Jul-2022 - 15-Jul-2022
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Event place: 
Barcelona, Spain
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Number of Pages: 
1
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Publisher: 
IEEE
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Keywords: 
Distributed Systems; Computing continuum; Edge Computing; Markov Blanket
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Abstract: 
In this panel contribution, I will discuss my vision on the need of developing new managing technologies to harness distributed ``computing continuum'' systems. These systems are concurrently executed in multiple computing tiers: Cloud, Fog, Edge and IoT. This simple idea develops manifold challenges due to the inherent complexity inherited from the underlying infrastructures of these systems. This makes inappropriate the use of current methodologies for managing Internet distributed systems, which are based on the early systems that were based on client/server architectures and were completely specified by the application software.
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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