Paper Info
Title
Adapting the Concept of Artificial DNA and Hormone System to a classical AUTOSAR Environment
Abstract
Embedded systems are growing very complex because of the increasing chip integration density, larger number of chips in distributed applications and demanding application fields e.g. in autonomous cars. Bio-inspired techniques like self-organization are a key feature to handle the increasing complexity of embedded systems. In biology the structure and organization of a system is coded in its DNA, while dynamic control flows are regulated by the hormone system. We adapted these concepts to embedded systems using an artificial DNA (ADNA) and an artificial hormone system (AHS). Based on these concepts, highly reliable, robust and flexible systems can be created. These properties predestine the ADNA and AHS for the use in future automotive applications. However, computational resources and communication bandwidth are often limited in automotive environments. Furthermore, in many critical areas, classical AUTOSAR in combination with CAN bus is used as a static operating system. Nevertheless, in this paper we show that the dynamic concept of ADNA and AHS can be successfully applied to a static system like AUTOSAR and the available computational resources are more than sufficient for automotive applications. The major bottleneck becomes the CAN bus communication when implemented on top of AUTOSAR's communication stack as this limits the maximum achievable throughput for a single device to provide bandwidth for numerous different participants. Implementing the CAN bus communication directly through AUTOSAR's CAN driver mostly removed this problem. Keywords: Artificial DNA, artificial hormone system, self-organization, automotive, CAN bus, AUTOSAR.
Year
DOI
Venue
2019
10.1109/ISORC.2019.00016
2019 IEEE 22nd International Symposium on Real-Time Distributed Computing (ISORC)
Keywords
DocType
ISSN
ADNA,artificial hormone system,AHS,demanding application fields,artificial DNA,distributed applications,increasing chip integration density,embedded systems,classical AUTOSAR environment,AUTOSAR's communication stack,CAN bus communication,static system,dynamic concept,static operating system,communication bandwidth,computational resources,future automotive applications,flexible systems,robust systems,reliable systems
Conference
1555-0885
ISBN
Citations 
PageRank 
978-1-7281-0152-1
0
0.34
References 
Authors
8
3
Name
Order
Citations
PageRank
Uwe Brinkschulte141252.57
Eric Hutter232.10
Felix Fastnacht300.68