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)Full text not available from this repository.
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
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