An artificial DNA for self‐descripting and self‐building embedded real‐time systems

Brinkschulte, Uwe

doi:10.1002/cpe.3460

Cited by 20 publications

(4 citation statements)

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“…This section briefly describes the concept of the artificial DNA and the underlying artificial hormone system (AHS). For detailed information, see other works 15,26–28 …”

Section: Conception Of the Artificial Dnamentioning

confidence: 99%

“…It therefore represents a digital artificial DNA (ADNA), which allows to partition and build the system at run‐time. Detailed examples and a very memory efficient format to store an ADNA were presented in the works of Brinkschulte 26,27 …”

Section: Conception Of the Artificial Dnamentioning

confidence: 99%

“…To demonstrate the suitability of our approach, we have also conducted several practical evaluations. In previous publications, we have evaluated the artificial DNA concept using a self‐balancing robot vehicle 26,27,30 . Since we propose to use the artificial DNA to build a new and robust automotive ECU architecture, we have consequently chosen an automotive application example to conduct the practical evaluation in this paper.…”

Section: Practical Evaluationmentioning

confidence: 99%

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Improving the fail‐operational behavior of automotive applications by artificial DNA

Brinkschulte

Pacher

Brinkschulte

2019

Concurrency and Computation

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Summary Embedded systems are growing very complex because of the increasing chip integration density, larger number of chips in distributed applications, and demanding application fields, eg, in autonomous cars. Bio‐inspired techniques like self‐organization are a key feature to handle this complexity. In biology, the structure and organization of a system is coded in its DNA. We adapted this concept to embedded systems using an artificial DNA (ADNA). Based on the ADNA, the self‐organization mechanisms can build the system autonomously at run‐time providing a self‐building system. This property predestines the ADNA for the use in automotive applications because modern (autonomous) cars include several highly redundant processors (electronic control units (ECUs)). The ADNA can be used to reduce the number of ECUs in a car on the one hand and to make better use of the cars' redundant ECUs on the other hand. Our contribution in this paper is to evaluate the improvements possible due to the ADNA by analyzing the fail‐operational limits and failure probabilities in such scenarios. We also propose a simple graceful degradation scheme for the tasks to improve the system dependability of the cars. Finally, the usability of the concept is demonstrated by a practical evaluation.

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“…This section briefly describes the concept of the artificial DNA and the underlying artificial hormone system (AHS). For detailed information, see other works 15,26–28 …”

Section: Conception Of the Artificial Dnamentioning

confidence: 99%

Section: Conception Of the Artificial Dnamentioning

confidence: 99%

Section: Practical Evaluationmentioning

confidence: 99%

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Improving the fail‐operational behavior of automotive applications by artificial DNA

Brinkschulte

Pacher

Brinkschulte

2019

Concurrency and Computation

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“…The first paper, titled An Artificial DNA for Self‐Descripting and Self‐Building Embedded Real‐Time Systems , Uwe Brinkschulte proposes an approach to use an artificial DNA‐based approach for embedded real‐time and distributed systems. This kind of systems is 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).…”

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confidence: 99%

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Higuera-Toledano

Brinkschulte

Rettberg

2016

Concurrency and Computation

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The increasing complexity of contemporary embedded computing systems requires the use of selfmanagement in order to handle unforeseen changes in both hardware and application environments (i.e., hardware/software defects, resource changes, and non-continual feature usage). Moreover, often these systems are distributed, running on processor architectures with multiple cores, which may require self-organization to ensure efficiency and reliability. Real-time properties are another key issue in many complex systems. Adaptive and self-organized properties extent the area of operations and improves the efficiency of the system resources at the cost to introduce additional complexity, overhead, and resource requirements. Consequently, real-time adaptive systems must be careful analyzed, designed, and built taken into account the right tradeoffs between flexibility and complexity, while accomplishing time-constrains.The combination of the flexibility and uncertain behavior of self-organizing systems with timepredictability is a grand challenge. Therefore, substantial research has been done in the last years to address the so-called Self-X features (e.g., self-configuration, self-optimization, self-adaptation, selfhealing, and self-protection). This fact has as resutl that self-organizing computing systems become an established research nowadays as they promise to handle the increasing complexity resulting from highly distributed systems and ubiquitous applications. In addition, real-time properties are required in many areas (such as cyber physical systems) self-organizing computing systems are dealing with. Combining the flexible and and uncertain behavior of self-organizing systems with time-predictability necessary for real-time systems is a grand challenge.The Workshop on Self-Organizing Real-Time Systems (SORT) is specifically dedicated to research on adaptive real-time systems. SORT started 2014 as a workshop attached at International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC). The purpose of this workshop is to provide an open forum to discuss new and ongoing research that is centered on the idea of adaptability in real-time systems. The target audience includes researchers from academia, tool vendors, system suppliers, and users in industry who are interested in the all aspects of the topics mentioned below. This special issue of Concurrency and Computation: Practice and Experience contains four invited papers from the SORT 2014 workshop that has been expanded and carefully peer reviewed.The first paper, titled An Artificial DNA for , Uwe Brinkschulte proposes an approach to use an artificial DNA-based approach for embedded real-time and distributed systems. This kind of systems is 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...

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Applying the Concept of Artificial DNA and Hormone System to a Low-Performance Automotive Environment

Brinkschulte

Fastnacht²

2019

Architecture of Computing Systems – ARCS 2019

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An artificial DNA for self‐descripting and self‐building embedded real‐time systems

Cited by 20 publications

References 14 publications

Improving the fail‐operational behavior of automotive applications by artificial DNA

Improving the fail‐operational behavior of automotive applications by artificial DNA

Sort 2014

Applying the Concept of Artificial DNA and Hormone System to a Low-Performance Automotive Environment

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