Biologically-inspired concepts for self-management of complexity

Roy Sterritt; Michael G. Hinchey

Biologically-inspired concepts for self-management of complexity

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

Abstract

Inherent complexity in large-scale applications may be impossible to eliminate or even ameliorate despite a number of promising advances. In such cases, the complexity must be tolerated and managed. Such management may be beyond the abilities of humans, or require such overhead as to make management by humans unrealistic. A number of initiatives inspired by concepts in biology have arisen for self-management of complex systems. We present some ideas and techniques we have been experimenting with, inspired by lesser-known concepts in biology that show promise in protecting complex systems and represent a step towards self-management of complexity.

Original language	English
Title of host publication	Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	163-168
Number of pages	6
ISBN (Print)	9780769525303
Publication status	Published - 2006
Externally published	Yes
Event	11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006 - Stanford, CA, United States Duration: 15 Aug 2006 → 17 Aug 2006

Publication series

Name	Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS
ISSN (Print)	2770-8527
ISSN (Electronic)	2770-8535

Conference

Conference	11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006
Country/Territory	United States
City	Stanford, CA
Period	15/08/06 → 17/08/06

Cite this

Sterritt, R., & Hinchey, M. G. (2006). Biologically-inspired concepts for self-management of complexity. In Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006 (pp. 163-168). Article 1690365 (Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS). Institute of Electrical and Electronics Engineers Inc..

Sterritt, Roy ; Hinchey, Michael G. / Biologically-inspired concepts for self-management of complexity. Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006. Institute of Electrical and Electronics Engineers Inc., 2006. pp. 163-168 (Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS).

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pages = "163--168",

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Sterritt, R & Hinchey, MG 2006, Biologically-inspired concepts for self-management of complexity. in Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006., 1690365, Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS, Institute of Electrical and Electronics Engineers Inc., pp. 163-168, 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006, Stanford, CA, United States, 15/08/06.

Biologically-inspired concepts for self-management of complexity. / Sterritt, Roy; Hinchey, Michael G.
Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006. Institute of Electrical and Electronics Engineers Inc., 2006. p. 163-168 1690365 (Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS).

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

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BT - Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006

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Sterritt R, Hinchey MG. Biologically-inspired concepts for self-management of complexity. In Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006. Institute of Electrical and Electronics Engineers Inc. 2006. p. 163-168. 1690365. (Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS).

Biologically-inspired concepts for self-management of complexity

Abstract

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