This paper presents a framework for building and modeling a new-generation self-adaptive systems. The first part of the paper proposes an architecture of a self-adaptive networked entity that forms the basic element of the approach. The second part describes a modeling environment based on Matlab / Simulink and one possible implementation of the self-adaptive networked entity. A physical realization of the proposed system is demonstrated on the computation of a simple FIR filter in several FPGAs acting as hardware in the loop in Matlab / Simulink. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Danek, M., Philippe, J. M., Honzik, P., Gamrat, C., & Bartosinski, R. (2008). Self-adaptive networked entities for building pervasive computing architectures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5216 LNCS, pp. 94–105). Springer Verlag. https://doi.org/10.1007/978-3-540-85857-7_9
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