Service-Based Integration of Grid and Multi-Agent Systems Models - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2008

Service-Based Integration of Grid and Multi-Agent Systems Models

Abstract

This position paper addresses the question of integrating GRID and MAS (Multi-Agent Systems) models by means of a service oriented approach. Service Oriented Computing (SOC) tries to address many challenges in the world of computing with services. The concept of service is clearly at the intersection of GRID and MAS and their integration allows to address one of these key challenges: the implementation of dynamically generated services based on conversations. In our approach, services are exchanged (i.e., provided and used) by agents through GRID mechanisms and infrastructure. Integration goes beyond the simple interoperation of applications and standards, it has to be intrinsic to the underpinning model. We introduce here an (quite unique) integration model for GRID and MAS. This model is formalized and represented by a graphical description language called Agent-Grid Integration Language (AGIL). This integration is based on two main ideas: (i) the representation of agent capabilities as Grid services in service containers; (ii) the assimilation of the service instantiation mechanism (from GRID) with the creation of a new conversation context (from MAS). The integrated model may be seen as a formalization of agent interaction for service exchange.
Fichier principal
Vignette du fichier
Article-SOCASE08-Jonquet-Dugenie-Cerri.pdf (81.9 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

lirmm-00288454 , version 1 (17-06-2008)

Identifiers

Cite

Clement Jonquet, Pascal Dugénie, Stefano A. Cerri. Service-Based Integration of Grid and Multi-Agent Systems Models. International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering, SOCASE'08:, May 2008, Estoril, Portugal. pp.56-68, ⟨10.1007/978-3-540-79968-9_5⟩. ⟨lirmm-00288454⟩
167 View
402 Download

Altmetric

Share

Gmail Facebook X LinkedIn More