article

ELDAMeth: An agent-oriented methodology for simulation-based prototyping of distributed agent systems

Authors:

Giancarlo Fortino,

Wilma RussoAuthors Info & Claims

Information and Software Technology, Volume 54, Issue 6

Pages 608 - 624

https://doi.org/10.1016/j.infsof.2011.08.006

Published: 01 June 2012 Publication History

Abstract

In application domains, such as distributed information retrieval, content management and distribution, e-Commerce, the agent-based computing paradigm has been demonstrated to be effective for the analysis, design and implementation of distributed software systems. In particular, several agent-oriented methodologies, incorporating suitable agent models, frameworks and tools, have been to date defined to support the development lifecycle of distributed agent systems (DAS). However, few of them provide effective validation methods to analyze design objects at different degrees of refinement before their actual implementation and deployment. In this paper, ELDAMeth, a simulation-based methodology for DAS, which enables rapid prototyping based on visual programming, validation, and automatic code generation for JADE-based DAS, is presented. ELDAMeth can be used both stand-alone for the modeling and evaluation of DAS and coupled with other agent-oriented methodologies for enhancing them with simulation-based validation. In particular, the proposed methodology, which is based on the ELDA (Event-driven Lightweight Distilled StateCharts-based Agents) agent model, provides key programming abstractions (event-driven computation, multi-coordination, and coarse-grained strong mobility) very suitable for highly dynamic distributed computing and is supported by a CASE tool-driven iterative process seamlessly covering the detailed design, simulation, and implementation phases of DAS. A simple yet effective case study in the distributed information retrieval domain is used to illustrate the proposed methodology.

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cover image Information and Software Technology

Information and Software Technology Volume 54, Issue 6

June, 2012

134 pages

ISSN:0950-5849

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Copyright © Elsevier B.V. © 2011.

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Butterworth-Heinemann

United States

Publication History

Published: 01 June 2012

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https://dl.acm.org/doi/10.1177/00375497221144646
Conesa JMula FContero MCamba J(2023)A multi-agent framework for collaborative geometric modeling in virtual environmentsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106257123:PAOnline publication date: 1-Aug-2023
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Savaglio CFortino G(2021)A Simulation-driven Methodology for IoT Data Mining Based on Edge ComputingACM Transactions on Internet Technology10.1145/340244421:2(1-22)Online publication date: 8-Mar-2021
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