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

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

Anthony, Richard J., Pelc, Mariusz and Byrski, Witold (2010) Context-aware reconfiguration of autonomic managers in real-time control applications. In: Proceedings of the 7th International Conference on Autonomic Computing, ICAC '10 and Co-located Workshops. Association for Computing Machinery, New York, NY, USA, pp. 73-74. ISBN 978 1 4503 0074 2 (doi:https://doi.org/10.1145/1809049.1809061)

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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.
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
behaviours whilst keeping the complexity, resource requirements and adaptation latency low.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 7th International Conference on Autonomic Computing, ICAC '10 and Co-located Workshops
Additional Information: [1] This paper was presented at the 7th IEEE/ACM International Conference on Autonomic Computing and Communications, (ICAC '10) held from 7-11 June 2010 in Washington, DC, USA. The conference was sponsored by SIGARCH, ACM Special Interest Group on Computer Architecture in co-operation with the IEEE and the University of Arizona.
Uncontrolled Keywords: autonomics, policy-based computing, exact-state observers
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:
Last Modified: 14 Oct 2016 09:14
URI: http://gala.gre.ac.uk/id/eprint/5534

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