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An artificial DNA for self‐descripting and self‐building embedded real‐time systems
Author(s) -
Brinkschulte Uwe
Publication year - 2015
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3460
Subject(s) - dependability , computer science , robustness (evolution) , flexibility (engineering) , distributed computing , self organization , computation , complex system , embedded system , computer architecture , artificial intelligence , software engineering , algorithm , mathematics , biochemistry , chemistry , statistics , gene
Summary Embedded systems are growing more and more complex because of the increasing chip integration density, larger number of chips in distributed applications, and demanding application fields (e.g., in cars and in households). Bio‐inspired techniques like self‐organization are a key feature to handle this complexity. However, self‐organization needs a guideline for setting up and managing the system. In biology, the structure and organization of a system are coded in its DNA. In this paper, we present an approach to use an artificial DNA for that purpose. Because many embedded systems can be composed from a limited number of basic elements, the structure and parameters of such systems can be stored in a compact way, representing an artificial DNA deposited in each computation node. This leads to a self‐describing system. Based on the DNA, the self‐organization mechanisms can build the system autonomously, providing a self‐building system. System repair and optimization at runtime are also possible, leading to higher robustness, dependability, and flexibility. Copyright © 2015 John Wiley & Sons, Ltd.