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A versatile policy toolkit supporting run-time policy reconfiguration

A versatile policy toolkit supporting run-time policy reconfiguration

Anthony, Richard John (2008) A versatile policy toolkit supporting run-time policy reconfiguration. Cluster Computing, 11 (3). pp. 287-298. ISSN 1386-7857 (Print), 1573-7543 (Online) (doi:10.1007/s10586-008-0058-7)

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Abstract

This paper describes an autonomics development tool which serves as both a powerful and flexible policy-expression language and a policy-based framework that supports the integration and dynamic composition of several autonomic computing techniques 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. Self-management behaviour is specified using the policy language semantics to bind the various technologies together as required. Since the policy semantics support run-time re-configuration, the self-management architecture is dynamically composable. The policy language and implementation library have integrated support for self-stabilising behaviour, enabling oscillation and other forms of instability to be handled at the policy level with very little effort on the part of the application developer. Example applications are presented to illustrate the integration of different autonomics techniques, and the achievement of dynamic composition.

Item Type: Article
Additional Information: [1] First published online 10 July 2008.
Uncontrolled Keywords: self-managing systems, policy-based configuration, utility functions, self-stabilisation, dynamic composition
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:
Last Modified: 14 Oct 2016 09:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1276

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