Performance evaluation of SDIAGENT, a multi-agent system for distributed fuzzy geospatial data conflation

Authors:
Shahram Rahimi;Johan Bjursell;Marcin Paprzycki;Maria Cobb;Dia Ali
Affiliations:
Department of Computer Science, Southern Illinois University, Carbondale, IL 62901, USA;School of Computational Sciences, George Mason University, Fairfax, VA 22015, USA;Institute of Computer Science, SWPS, 03-815 Warsaw, Poland;Department of Computer Science, University of Southern Mississippi, Hattiesburg, MS 39406, USA;Department of Computer Science, University of Southern Mississippi, Hattiesburg, MS 39406, USA
Venue:
Information Sciences: an International Journal
Year:
2006

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Abstract

A rapid growth of available geospatial data requires development of systems capable of autonomous data retrieval, integration and validation. Mobile agents may provide the suitable framework for developing such systems since this technology, in a natural way, can deal with the distributed heterogeneous nature of such data. In this paper, we evaluate SDIAGENT our, recently introduced, multi-agent architecture for geospatial data integration and conflation, and compare its model performance with that of client/server and single-agent approaches. Experimental results for several realistic scenarios, under varying conditions, are presented for these three system architectures. We analyze the performance alteration for various numbers of participating nodes, varying amount of database accesses, processing loads, and network loads.