Policy-based autonomic computing with integral support for self-stabilisation
Anthony, Richard John (2009) Policy-based autonomic computing with integral support for self-stabilisation. International Journal of Autonomic Computing, 1 (1). pp. 1-33. ISSN 1741-8569 (Print), 1741-8577 (Online) (doi:10.1504/IJAC.2009.024497)Full text not available from this repository.
This paper describes the AGILE technology for building self-managing systems. AGILE serves as both a policy expression language and a framework that facilitates the integration and dynamic composition of several autonomic computing techniques within a single deployment technology and supports run-time self-reconfiguration.
The paper also discusses the need for self-stabilisation mechanisms for autonomic systems in order to reduce the reliance of autonomic components on external supervision and extend their behavioural scope and trustability. The self-stabilisation approach taken and the initial support mechanisms in this regard that have been integrated into AGILE are examined.
A demonstration application illustrates the powerful dynamic adaptation capabilities of the technology. The self-stabilisation theme is prominent, but other aspects are also demonstrated, including dynamic reconfiguration at the policy level, automated built-in signal processing and trend analysis, the integration of policies and utility functions and the ease with which such advanced self-managing behaviour can be configured using AGILE.
|Uncontrolled Keywords:||policy-based computing, autonomic systems, self-stabilisation, self-managing systems|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
T Technology > T Technology (General)
|School / Department / Research Groups:||School of Computing & Mathematical Sciences|
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
|Last Modified:||09 May 2013 10:36|
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