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A Framework for Certifying Autonomic Computing Systems

Authors:
Haffiz Shuaib
Richard Anthony
Mariusz Pelc

Keywords: Autonomic Computing, Architectures, Frameworks

Abstract:
The growing cost associated with managing increasingly complex Information Technology (IT) infrastructure has brought abouta 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.

Pages: 122 to 127

Copyright: Copyright (c) IARIA, 2011

Publication date: May 22, 2011

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-134-2

Location: Venice/Mestre, Italy

Dates: from May 22, 2011 to May 27, 2011