1. Generic Management of Availability in Fail-Operational Automotive Systems
- Author
-
Gereon Weiss, Christian Drabek, Bernhard Bauer, and Philipp Schleiss
- Subjects
Computational complexity theory ,Computer science ,business.industry ,Distributed computing ,020208 electrical & electronic engineering ,Automotive industry ,Control reconfiguration ,02 engineering and technology ,Field (computer science) ,Backup ,Component (UML) ,Scalability ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Heuristics ,business - Abstract
The availability of functionality is a crucial aspect of mission- and safety-critical systems. This is for instance demonstrated by the pursuit to automate road transportation. Here, the driver is not obligated to be part of the control loop, thereby requiring the underlying system to remain operational even after a critical component failure. Advances in the field of mixed-criticality research have allowed to address this topic of fail-operational system behaviour more efficiently. For instance, general purpose computing platforms may relinquish the need for dedicated backup units, as their purpose can be redefined at runtime. Based on this, a deterministic and resource-efficient reconfiguration mechanism is developed, in order to address safety concerns with respect to availability in a generic manner. To find a configuration for this mechanism that can ensure all availability-related safety properties, a design-time method to automatically generate schedules for different modes of operations from declaratively defined requirements is established. To cope with the inherent computational complexity, heuristics are developed to effectively narrow the problem space. Subsequently, this method’s applicability and scalability are respectively evaluated qualitatively within an automotive case study and quantitatively by means of a tool performance analysis.
- Published
- 2017