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Context-aware reconfiguration of autonomic managers in real-time control applications

By Richard J. Anthony, Mariusz Pelc and Witold Byrski

Abstract

We consider autonomic applications to systems for which continuous perfect monitoring of state is not possible. We use Exact-State Observers (ESO) to provide enhanced information about the system state. To achieve optimal configuration of the autonomic controller itself, over a wide range of environmental operating conditions, and across a wide range of unique application domains, we implement a new architecture for dynamic supervision and control systems in which a policy-based autonomic engine automatically selects both its monitoring and actuator components to suit ambient operating conditions.\ud By using a suite of ESOs tuned for different tradeoffs between realtime responsiveness and extent of system disturbance tolerated, and a policy mechanism to contextually select the most appropriate observer at any given time, we achieve self-configuring and selfoptimising\ud behaviours whilst keeping the complexity, resource requirements and adaptation latency low

Topics: QA75
Publisher: Association for Computing Machinery
Year: 2010
OAI identifier: oai:gala.gre.ac.uk:5534
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