[Zurück]

A. Musil, J. Musil, D. Weyns, T. Bures, H. Muccini, M. Sharaf:
"Patterns for Self-Adaptation in Cyber-Physical Systems";
in: "Multi-Disciplinary Engineering of Cyber-Physical Production Systems", S. Biffl, A. Lüder, D. Gerhard (Hrg.); Springer, Switzerland, 2017, ISBN: 978-3-319-56344-2, S. 331 - 368.

Engineering Cyber-Physical Systems (CPS) is challenging, as these
systems have to handle uncertainty and change during operation. A typical approach
to deal with uncertainty is enhancing the system with self-adaptation capabilities.
However, realizing self-adaptation in CPS, and consequently also in Cyber-Physical
Production Systems (CPPS) as a member of the CPS family, is particularly challenging due to the specific characteristics of these systems, including the seamless
integration of computational and physical components, the inherent heterogeneity
and large-scale of such systems, and their open-endedness.
In this chapter we survey CPS studies that apply the promising design strategy
of combining different self-adaptation mechanisms across the technology stack of
the system. Based on the survey results, we derive recurring adaptation patterns that
structure and consolidate design knowledge. The patterns offer problem-solution
pairs to engineers for the design of future CPS and CPPS with self-adaptation
capabilities. Finally, the chapter outlines the potential of collective intelligence
systems for CPPS and their engineering based on the survey results.

Collective intelligence systems . Cyber-physical systems . Patterns . Self-adaptation . Software architecture . Systematic study

http://dx.doi.org/10.1007/978-3-319-56345-9_13