Shuaib, Haffiz, Anthony, Richard J. and Pelc, Mariusz (2012) A framework for certifying autonomic computing systems. In: Seventh International Conference on Autonomic and Autonomous Systems. Curran Associates Inc., Red Hook, NY, USA, pp. 122-127. ISBN 9781612080062

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Abstract

The growing cost associated with managing increasingly complex Information Technology (IT) infrastructure has brought about a new field of research – Autonomic Computing (AC). AC systems seek to mimic the management capabilities of biological systems notably, the Autonomous Nervous System (ANS), to bend the curve associated with management cost, while also allowing these managed systems to evolve and adapt, regardless of the operational context and deployment environment. The AC field attempts to bring together a number of disparate research fields in order to achieve its objectives. For this to be possible, a way to coherently link the imports of these dissimilar fields is required, if these systems are to be understood, and by extension trusted. To that end, this project’s focus is on the proposal of mechanisms that will allow for proper certification of autonomic computing systems. This, if successful, will provide a consistent trust measure for these systems. Particularly, in this position paper the intelligent machine design architecture is extended and used as a basis for defining autonomic computing systems. Metrics contained in the International Standard organization (ISO) 9126-1998 specification, are appropriated to AC systems. Based on all of the above, a foundation for achieving certification for AC systems is laid.

Item Type:	Conference Proceedings
Title of Proceedings:	Seventh International Conference on Autonomic and Autonomous Systems
Additional Information:	[1] This paper was presented at the Seventh International Conference on Autonomic and Autonomous Systems (ICAS 2011) held from 22-27 May 2011 in Venice, Italy. The Conference was sponsored by the International Academy, Research, and Industry Association (IARIA).
Uncontrolled Keywords:	autonomic computing, architectures, frameworks
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments:	School of Computing & Mathematical Sciences
Related URLs:	Publisher Publisher Organisation Organisation
Last Modified:	14 Oct 2016 09:16
URI:	http://gala.gre.ac.uk/id/eprint/6448

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