Autonomicity - An antidote for complexity?

Roy Sterritt, Mike Hinchey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Pages283-291
Number of pages9
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts - Stanford, CA, United States
Duration: 8 Aug 200511 Aug 2005

Publication series

Name2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Conference

Conference2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Country/TerritoryUnited States
CityStanford, CA
Period8/08/0511/08/05

Fingerprint

Dive into the research topics of 'Autonomicity - An antidote for complexity?'. Together they form a unique fingerprint.

Cite this