Anthony, Richard (2007) Policy-centric integration and dynamic composition of autonomic computing techniques. 2007 IEEE International Conference on Autonomic Computing (ICAC). Institute of Electrical and Electronics Engineers, Inc., New York, p. 2. ISBN 0769527795 (doi:10.1109/ICAC.2007.32)

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Abstract

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.

Item Type:	Book Section
Additional Information:	This paper forms part of the published proceedings from the 4th International Conference on Autonomic Computing 11-15 June 2007 Florida USA
Uncontrolled Keywords:	policy-centric integration, dynamic composition, autonomic computing techniques, AGILE
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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:	Publisher Organisation
Last Modified:	14 Oct 2016 09:03
URI:	http://gala.gre.ac.uk/id/eprint/1085

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