An artificial DNA for self‐descripting and self‐building embedded real‐time systems. (13th March 2015)

• Record Type: Journal Article
• Authors: Brinkschulte, Uwe
• Other Names: Higuera‐Toledano M. Teresa guestEditor.; Brinkschulte Uwe guestEditor.; Rettberg Achim guestEditor.; Qiang Weizhong guestEditor.; Zheng Xianghan guestEditor.; Hsu Ching‐Hsien guestEditor.
• Is Part Of: Concurrency and computation. Volume 28:Number 14(2016)
• Page Start: 3711
• Page End: 3729
• Publication Date: 2015-03-13
• Subjects: artificial DNA -- real‐time -- self‐organization -- self‐building -- self‐description; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.3460
• Languages: English
• ISSNs: 1532-0626

Abstract

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.