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Policy-driven self-management for an automotive middleware

Policy-driven self-management for an automotive middleware

Anthony, Richard and Ekelin, Cecilia (2007) Policy-driven self-management for an automotive middleware. Hot topics in autonomic computing on hot topics in autonomic computing. USENIX Association, Berkley, CA, pp. 55-64. (doi:10.1109/ICAC.2007.32)

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Abstract

This paper describes work towards the deployment of self-managing capabilities into an advanced middleware for automotive systems. The middleware will support a range of futuristic use-cases requiring context-awareness and dynamic system configuration.
Several use-cases are described and their specific context-awareness requirements identified. The discussion is accompanied by a justification for the selection of policy-based computing as the autonomics technique to drive the self-management. The specific policy technology to be deployed is described briefly, with a focus on its specific features that are of direct relevance to the middleware project.
A selected use-case is explored in depth to illustrate the extent of dynamic behaviour achievable in the proposed middleware architecture, which is composed of several policy-configured services.
An early demonstration application which facilitates concept evaluation is presented and a sequence of typical device-discovery events is worked through

Item Type: Book Section
Additional Information: This paper forms part of the published proceedings from The Second International Workshop on Hot Topics in Autonomic Computing (HotAC II) held in conjunction with ICAC 2007 Jacksonville Florida USA June 15 2007
Uncontrolled Keywords: self-managing capabilities, advanced middleware, automotive systems, context-awareness, dynamic system configuration
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:
Last Modified: 14 Oct 2016 09:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1082

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