A token-based mutual exclusion approach to improve collaboration in distributed environments

Paletta, Mauricio ORCID: https://orcid.org/0000-0001-5939-2713 and Herrero Martín, María del Pilar ORCID: https://orcid.org/0000-0002-1313-8645 (2009). A token-based mutual exclusion approach to improve collaboration in distributed environments. En: "First International Conference on Computational Collective Intelligence", 5-7 Oct 2009, Breslavia, Polonia. ISBN 9783642044403. pp. 118-127. https://doi.org/10.1007/978-3-642-04441-0-10.

Descripción

Título: A token-based mutual exclusion approach to improve collaboration in distributed environments
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: First International Conference on Computational Collective Intelligence
Fechas del Evento: 5-7 Oct 2009
Lugar del Evento: Breslavia, Polonia
Título del Libro: Computational collective intelligence. Semantic web, social networks and multiagent systems, First International Conference, ICCCI 2009, Wroclaw, Poland, October 5-7, 2009, proceedings
Fecha: 23 Septiembre 2009
ISBN: 9783642044403
ISSN: 16113349
Volumen: 5796
Materias:
ODS:
Palabras Clave Informales: Collaboration, Distributed environment, Multi-agent system, Mutual exclusion
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper presents a token-based mutual exclusion algorithm designed to be used in Collaborative Distributed Environments by means of multi-agent architecture. This research makes use of a variation of the token-based Naimi-Tréhel’s algorithm by considering only three messages in total as well as reducing the needed information sharing. This ensures to improve the effectiveness of agents’ communication resources and therefore to improve collaboration in these environments.

Más información

ID de Registro: 95567
Identificador DC: https://oa.upm.es/95567/
Identificador OAI: oai:oa.upm.es:95567
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/2870084
Identificador DOI: 10.1007/978-3-642-04441-0-10
URL Oficial: https://link.springer.com/chapter/10.1007/978-3-64...
Depositado por: iMarina Portal Científico
Depositado el: 17 Abr 2026 14:16
Ultima Modificación: 17 Abr 2026 14:16