Policy-based autonomic computing with integral support for self-stabilisation
by Richard John Anthony
International Journal of Autonomic Computing (IJAC), Vol. 1, No. 1, 2009

Abstract: 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.

Online publication date: Tue, 07-Apr-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Autonomic Computing (IJAC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com