Policy-driven self-management for an automotive middleware
HotAC II Hot Topics in Autonomic Computing on Hot Topics in Autonomic Computing
A versatile policy toolkit supporting run-time policy reconfiguration
Cluster Computing
Embedding Dynamic Behaviour into a Self-configuring Software System
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
Policy-based autonomic computing with integral support for self-stabilisation
International Journal of Autonomic Computing
Context-aware reconfiguration of autonomic managers in real-time control applications
Proceedings of the 7th international conference on Autonomic computing
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This paper presents innovative work in the development of policy-based autonomic computing. The core of the work is a powerful and flexible policy-expression language AGILE, which facilitates run-time adaptable policy configuration of autonomic systems. AGILE also serves as an integrating platform for other self-management technologies including signal processing, automated trend analysis and utility functions. Each of these technologies has specific advantages and applicability to different types of dynamic adaptation. The AGILE platform enables seamless interoperability of the different technologies to each perform various aspects of self-management within a single application. The various technologies are implemented as object components. Self-management behaviour is specified using the policy language semantics to bind the various components together as required. Since the policy semantics support run-time re-configuration, the self-management architecture is dynamically composable. Additional benefits include the standardisation of the application programmer interface, terminology and semantics, and only a single point of embedding is required.