Autonomicity - An antidote for complexity?

Roy Sterritt; Mike Hinchey

doi:10.1109/CSBW.2005.28

Autonomicity - An antidote for complexity?

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Pages	283-291
Number of pages	9
DOIs	https://doi.org/10.1109/CSBW.2005.28
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts - Stanford, CA, United States Duration: 8 Aug 2005 → 11 Aug 2005

Publication series

Name	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Conference

Conference	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Country/Territory	United States
City	Stanford, CA
Period	8/08/05 → 11/08/05

Access to Document

10.1109/CSBW.2005.28

Cite this

@inproceedings{fb2c9249684e4189911cca2b848ff39e,

title = "Autonomicity - An antidote for complexity?",

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.",

author = "Roy Sterritt and Mike Hinchey",

year = "2005",

doi = "10.1109/CSBW.2005.28",

language = "English",

isbn = "0769524427",

series = "2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts",

pages = "283--291",

booktitle = "2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts",

note = "2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts ; Conference date: 08-08-2005 Through 11-08-2005",

}

Sterritt, R & Hinchey, M 2005, Autonomicity - An antidote for complexity? in 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts., 1540631, 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, pp. 283-291, 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, Stanford, CA, United States, 8/08/05. https://doi.org/10.1109/CSBW.2005.28

Autonomicity - An antidote for complexity? / Sterritt, Roy; Hinchey, Mike.
2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts. 2005. p. 283-291 1540631 (2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review