A Self-Organising Infrastructure for Chemical-Semantic Coordination: Experiments in TuCSoN


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Elena Nardini, Mirko Viroli, Matteo Casadei, Andrea Omicini

Andrea Omicini, Mirko Viroli (eds.)
“WOA 2010 — Dagli oggetti agli agenti. Modelli e tecnologie per sistemi complessi: context-dependent, knowledge-intensive, nature-inspired e self-* ”, pages 117-125
CEUR Workshop Proceedings 621
Sun SITE Central Europe, RWTH Aachen University
5-7 September 2010

Recent works proposed the adoption of a nature-inspired approach of chemistry for implementing service architectures suitable for pervasive applications. In particular, Viroli and Casadei propose a chemical-semantic tuple-space model where coordination of data, devices and software agents — representing the services of the pervasive computing application — are reified into proper tuples managed by the coordination infrastructure. Service coordination is enacted by chemical-like reactions that semantically match those tuples accordingly enacting the desired interaction patterns (composition, aggregation, competition, con- textualisation, diffusion and decay). After showing and motivating the proposed coordination approach for situated, adaptive, and diversity-accomodating pervasive computing systems, in this paper we outline how it is possible to concretise the approach on the TuCSoN coordination infrastructure, which can been suitably enhanced with modules supporting fuzzy semantic-coordination and execution engine for chemical-inspired coordination laws.

Journals & Series

Events

  • 11º Workshop Nazionale “Dagli Oggetti agli Agenti” (WOA 2010) — 05/09/2010–07/09/2010

Publication

— authors

— editors

— status

published

— sort

paper in proceedings

— publication date

5-7 September 2010

— volume

WOA 2010 — Dagli oggetti agli agenti. Modelli e tecnologie per sistemi complessi: context-dependent, knowledge-intensive, nature-inspired e self-*

— series

CEUR Workshop Proceedings

— volume

621

— pages

117-125

— location

Rimini, Italy

URLs

original PDF

identifiers

— IRIS

11585/93511

— Scopus

2-s2.0-84868706553

— print ISSN

1613-0073

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