Context-aware adaptation in DySCAS

DySCAS is a dynamically self-configuring middleware for automotive control systems. The addition of autonomic, context-aware dynamic configuration to automotive control systems brings a potential for a wide range of benefits in terms of robustness, flexibility, upgrading etc. However, the automotive systems represent a particularly challenging domain for the deployment of autonomics concepts, having a combination of real-time performance constraints, severe resource limitations, safety-critical aspects and cost pressures. For these reasons current systems are statically configured. This paper describes the dynamic run-time configuration aspects of DySCAS and focuses on the extent to which context-aware adaptation has been achieved in DySCAS, and the ways in which the various design and implementation challenges are met

An Architectural Approach to Autonomics and Self-management of Automotive Embedded Electronic Systems

International audienceEmbedded electronic systems in vehicles are of rapidly increasing commercial importance for the automotive industry. While current vehicular embedded systems are extremely limited and static, a more dynamic configurable system would greatly simplify the integration work and increase quality of vehicular systems. This brings in features like separation of concerns, customised software configuration for individual vehicles, seamless connectivity, and plug-and-play capability. Furthermore, such a system can also contribute to increased dependability and resource optimization due to its inherent ability to adjust itself dynamically to changes in software, hardware resources, and environment condition. This paper describes the architectural approach to achieving the goals of dynamically self-configuring automotive embedded electronic systems by the EU research project DySCAS. The architecture solution outlined in this paper captures the application and operational contexts, expected features, middleware services, functions and behaviours, as well as the basic mechanisms and technologies. The paper also covers the architecture conceptualization by presenting the rationale, concerning the architecture structuring, control principles, and deployment concept. In this paper, we also present the adopted architecture V&V strategy and discuss some open issues in regards to the industrial acceptance

Autonomics at the edge: resource orchestration for edge native applications

With increasing availability of edge computing resources there is a need to develop edge orchestration and resource management techniques to support application resilience and performance. Similar to the use of containers and microservices for cloud environments, it is important to understand the key attributes that characterise “edge native” applications. As edge devices increase in their autonomy and intelligence, orchestration techniques are needed to respond to changes in device properties, availability, security credentials, migration and network connectivity protocols. Implementing autonomics techniques for edge computing can increase resilience of the interaction between devices and applications reducing execution time and cost. The use of autonomics at the network edge can address the complexity requirement of industrial workflows to overcome execution latency, data privacy and reliability constraints