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Published Articles >> Table of Contents >> Abstract
2005 Australian Software Engineering Conference (ASWEC'05)
pp. 88-97
Defining Autonomic Computing: A Software Engineering Perspective
Paul Lin, University of Technology - Sydney
Alexander MacArthur, University of Technology - Sydney
John Leaney, University of Technology - Sydney
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASWEC.2005.19
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| Abstract |
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As a rapidly growing field, Autonomic Computing is a
promising new approach for developing large scale
distributed systems. However, while the vision of
achieving self-management in computing systems is well
established, the field still lacks a commonly accepted
definition of what an Autonomic Computing system is.
Without a common definition to dictate the direction of
development, it is not possible to know whether a system
or technology is a part of Autonomic Computing, or if in
fact an Autonomic Computing system has already been
built.
The purpose of this paper is to establish a
standardised and quantitative definition of Autonomic
Computing through the application of the Quality Metrics
Framework described in IEEE Std 1061-1998 [1].
Through the application of this methodology,
stakeholders were systematically analysed and evaluated
to obtain a balanced and structured definition of
Autonomic Computing. This definition allows for further
development and implementation of quality metrics,
which are project-specific, quantitative measurements
that can be used to validate the success of future
Autonomic Computing projects.
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Additional Information
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Citation:
Paul Lin, Alexander MacArthur, John Leaney,
"Defining Autonomic Computing: A Software Engineering Perspective,"
aswec,
pp. 88-97,
2005 Australian Software Engineering Conference (ASWEC'05),
2005
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