An artificial hormone system for self-organization of networked nodes

The rising complexity of distributed computer systems give reason to investigate self-organization mechanism to build systems that are self-managing in the sense of Autonomic and Organic Computing. In this paper we propose the Artificial Hormone System (AHS) as a general approach to build self-orga...

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Detalles Bibliográficos
Autores principales: Trumler, Wolfgang, Thiemann, Tobias, Ungerer, Theo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
autonomic and organic computing
Artificial Hormone System (AHS)
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24003
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-24003
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
autonomic and organic computing
Artificial Hormone System (AHS)
spellingShingle Ciencias Informáticas
autonomic and organic computing
Artificial Hormone System (AHS)
Trumler, Wolfgang
Thiemann, Tobias
Ungerer, Theo
An artificial hormone system for self-organization of networked nodes
topic_facet Ciencias Informáticas
autonomic and organic computing
Artificial Hormone System (AHS)
description The rising complexity of distributed computer systems give reason to investigate self-organization mechanism to build systems that are self-managing in the sense of Autonomic and Organic Computing. In this paper we propose the Artificial Hormone System (AHS) as a general approach to build self-organizing systems based on networked nodes. The Artificial Hormone System implements a similar information exchange between networked nodes like the human hormone system does between cells. The artificial hormone values are piggy-backed on messages to minimize communication overhead. To show the efficiency of the mechanism even for large scale systems we implemented a simulation environment in Java to evaluate different optimization strategies. The evaluations show that local information is enough to meet global optimization criterion.
format Objeto de conferencia
Objeto de conferencia
author Trumler, Wolfgang
Thiemann, Tobias
Ungerer, Theo
author_facet Trumler, Wolfgang
Thiemann, Tobias
Ungerer, Theo
author_sort Trumler, Wolfgang
title An artificial hormone system for self-organization of networked nodes
title_short An artificial hormone system for self-organization of networked nodes
title_full An artificial hormone system for self-organization of networked nodes
title_fullStr An artificial hormone system for self-organization of networked nodes
title_full_unstemmed An artificial hormone system for self-organization of networked nodes
title_sort artificial hormone system for self-organization of networked nodes
publishDate 2006
url http://sedici.unlp.edu.ar/handle/10915/24003
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