Biologically-inspired design: getting it wrong and getting it right

Large, complex computing systems have many similarities to biological systems, at least at a high level. They consist of a very large number of components, the interactions between which are complex and dynamic, and the overall behavior of the system is not always predictable even if the components...

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Detalles Bibliográficos
Autor principal: White, Timothy
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
computing systems
biological systems
sistema informático
ciencias biológicas
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23994
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23994
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
computing systems
biological systems
sistema informático
ciencias biológicas
spellingShingle Ciencias Informáticas
computing systems
biological systems
sistema informático
ciencias biológicas
White, Timothy
Biologically-inspired design: getting it wrong and getting it right
topic_facet Ciencias Informáticas
computing systems
biological systems
sistema informático
ciencias biológicas
description Large, complex computing systems have many similarities to biological systems, at least at a high level. They consist of a very large number of components, the interactions between which are complex and dynamic, and the overall behavior of the system is not always predictable even if the components are well understood. These similarities have led the computing community to look to biology for design inspiration. But computing systems are not biological systems. Care must be taken when applying biological designs to computing systems, and we need to avoid applying them when they are not appropriate. We review three areas in which we have used biology as an inspiration to understand and construct computing systems. The first is the epidemiology of computer viruses, in which biological models are used to predict the speed and scope of global virus spread. The second is global defenses against computer viruses, in which the mammalian immune system is the starting point for design. The third is self-assembling autonomic systems, in which the components of a system connect locally, without global control, to provide a desired global function. In each area, we look at an approach that seems very biologically motivated, but that turns out to yield poor results. Then, we look at an approach that works well, and contrast it with the prior misstep. Perhaps unsurprisingly, attempting to reason by analogy is fraught with dangers. Rather, it is critical to have a detailed, rigorous understanding of the system being constructed and the technologies being used, and to understand the differences between the biological system and the computing system, as well as their similarities.
format Objeto de conferencia
Objeto de conferencia
author White, Timothy
author_facet White, Timothy
author_sort White, Timothy
title Biologically-inspired design: getting it wrong and getting it right
title_short Biologically-inspired design: getting it wrong and getting it right
title_full Biologically-inspired design: getting it wrong and getting it right
title_fullStr Biologically-inspired design: getting it wrong and getting it right
title_full_unstemmed Biologically-inspired design: getting it wrong and getting it right
title_sort biologically-inspired design: getting it wrong and getting it right
publishDate 2006
url http://sedici.unlp.edu.ar/handle/10915/23994
work_keys_str_mv AT whitetimothy biologicallyinspireddesigngettingitwrongandgettingitright
bdutipo_str Repositorios
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