生物学启发的自我管理复杂性的概念

11th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'06) Pub Date : 2006-08-15 DOI:10.1109/ICECCS.2006.52

Roy Sterritt, M. Hinchey

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引用次数: 9

摘要

尽管有许多有希望的进展，但大规模应用程序中固有的复杂性可能是不可能消除甚至改善的。在这种情况下，必须容忍和管理复杂性。这样的管理可能超出了人类的能力，或者需要大量的开销，使人类管理变得不现实。在生物学概念的启发下，出现了许多复杂系统自我管理的倡议。我们提出了一些我们一直在试验的想法和技术，这些想法和技术的灵感来自于生物学中鲜为人知的概念，这些概念在保护复杂系统方面表现出了希望，并代表了迈向复杂性自我管理的一步

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Biologically-inspired concepts for self-management of complexity

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

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11th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'06)

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