Computing systems are becoming more and more complex and heterogeneous. Several approaches have been suggested for controlling self-organization process in complex systems. One of those approaches is organic computing, which aims at mastering complexity in technical system. It is closely related to autonomic computing and exhibits the same properties:  self-organizing, self-configuring, self-healing, self-protecting, self-explaining, and context-aware.  This paper provides a brief introduction to organic computing.

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A. Niederquell, “Self-adaptive systems in organic computing: Different concepts of self-improvement,”

U. Brinkschulte, “Model-driven design and organic computing - Contradictory or synergetic approaches to overcome the embedded software crisis,” Proceedings of IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, 2009, pp. 91-92.

R. P. Wurtz (ed.), Organic Computing. Berlin, Germany: Springer-Verlag, 200, p. 11.

M. Sommer, “Organic computing fundamentals – Learning from nature,”

“Wetware computing,” Wikipedia, the free encyclopedia

S. von Mannen, S. Tomforde, and J. Hahner, “An organic computing approach to self-organizing robot ensembles,” Frontiers in Robotics and AI, November 2016.

S. Nadouri and H. Fellah, “OMCC: Organic mobile cloud computing,” Proceedings of the 8th International Conference on Modelling, Identification and Control, Algiers, November 2016, pp. 169-173.

H. Schmeck, “Organic computing – A new vision for distributed embedded systems,”

Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, 2005.

C. Muller-Schloer, H. Schmeck, and T. Ungerer (eds.), Organic Computing: A Pradigm Shift for Complex Systems. Springer, 2011.

C. Muller-Schloer and S. Tomforde, Organic Computing – Technical Systems for Survival in the Real World. Springer, 2017.



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