Now showing 1 - 4 of 4
  • Publication
    Digitale Dörfer. Wie Digitale Ökosysteme strukturiert sind und was sie leisten
    ( 2019) ;
    Hess, Steffen
    Im Projekt ""Digitale Dörfer"" zeigt das Fraunhofer-Institut für Experimentelles Software Engineering IESE, wie sich durch die Digitalisierung neue Chancen für ländliche Regionen auftun. Das Projekt ist im Sommer 2015 mit dem Ziel gestartet, die Herausforderungen des heutigen Lebens in ländlichen Regionen in Bezug auf die Digitalisierung zu untersuchen. Seit diesem Zeitpunkt entstehen Konzepte und Lösungen, die die Chancen einer ganzheitlichen Betrachtungsweise des Themas der Digitalisierung im Sinne eines Digitalen Ökosystems aufzeigen. Das vom Ministerium des Innern und für Sport Rheinland-Pfalz, dem Fraunhofer IESE und der Entwicklungsagentur Rheinland-Pfalz geförderte Projekt gilt dabei als Vorreiter für viele andere Initiativen, die seitdem in Deutschland entstanden sind. Gemeinsam wollen sie digitale Dienste auch im ländlichen Raum erproben und nachhaltig anwendbar machen.
  • Publication
    Towards Dynamic Safety Management for Autonomous Systems
    Safety assurance of autonomous systems is one of the current key challenges of safety engineering. Given the specific characteristics of autonomous systems, we need to deal with many uncertainties making it difficult or even impossible to predict the system's behaviour in all potential operational situations. Simply using established static safety approaches would result in very strict worst-case assumptions making the development of autonomous systems at reasonable costs impossible. This paper therefore introduces the idea of dynamic safety management. Using dynamic safety management enables a system to assess its safety and to self-optimize its performance at runtime. Considering the current risk related to the actual context at runtime instead of being bound to strict worst-case assumptions provides the essential basis for the development of safe and yet cost-efficient autonomous systems.
  • Publication
    Towards integrating undependable self-adaptive systems in safety-critical environments
    Modern cyber-physical systems (CPS) integrate more and more powerful computing power to master novel applications and adapt to changing situations. A striking example is the recent progression in the automotive market towards autonomous driving. Powerful artificial intelligent algorithms must be executed on high performant parallelized platforms. However, this cannot be employed in a safe way, as the platforms stemming from the consumer electronics (CE) world still lack required dependability and safety mechanisms. In this paper, we present a concept to integrate undependable self-adaptive subsystems into safety-critical environments. For this, we introduce self-adaptation envelopes which manage undependable system parts and integrate within a dependable system. We evaluate our approach by a comprehensive case study of autonomous driving. Thereby, we show that the potential failures of the AUTOSAR Adaptive platform as exemplary undependable system can be handled by our concept. In overall, we outline a way of integrating inherently undependable adaptive systems into safety-critical CPS.
  • Publication
    Towards safety-awareness and dynamic safety management
    Future safety-critical systems will be highly automated or even autonomous and they will dynamically cooperate with other systems as part of a comprehensive ecosystem. This together with increasing utilization of artificial intelligence introduces uncertainties on different levels, which detriment the application of established safety engineering methods and standards. These uncertainties might be tackled by making systems safety-aware and enabling them to manage themselves accordingly. This paper introduces a corresponding conceptual dynamic safety management framework incorporating monitoring facilities and runtime safety-models to create safety-awareness. Based on this, planning and execution of safe system optimizations can be carried out by means of self-adaptation. We illustrate our approach by applying it for the dynamic safety assurance of a single car.