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Autonomicity – An Antidote for Complexity?

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Sterritt, Roy and Hinchey, MH (2005) Autonomicity – An Antidote for Complexity? In: IEEE Computational Systems Bioinformatics (CSB 2005) Workshops, Stanford, CA. IEEE. 8 pp. [Conference contribution]

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DOI: 10.1109/CSBW.2005.28

Abstract

Autonomic computing and other self-managing system initiatives, many strongly based on biological metaphors, are emerging as a significant new vision for the design and development of complex computer systems. They offer the promise of controlling complexity through the achievement of self governance (autonomy) and self management (autonomicity). We consider how complexity is exhibited in the computer industry as a whole, and how the situation is deteriorating, rather than improving. We consider how autonomous and autonomic systems, with their biological inspiration, can provide a framework for tackling complexity and overcoming the problems of its (unavoidable) inherent existence in certain classes of systems.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:8305
Deposited By:Mr Roy Sterritt
Deposited On:29 Feb 2012 15:43
Last Modified:29 Feb 2012 15:43

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