contrôle et implantation des systèmes répartis de fusion d'informations

Abstract : Information fusion is required since potential uncertain or imprecise data should be combined. The fusion operations have to be performed on physical resources, named Information Fusion Systems (IFS), since fusion processes are now too complex. IFS are now distributed over communicating devices due to geographical or security issues. The purpose of this Ph. D. thesis deals with the control of distributed IFS. Especially it presents a control system able to adapt the use of available resources to the fusion process requirements. Thus, the description of the fusion process, built upon a data flow graph, is generic enough to cover the scope of the common information fusion models. Five control tasks compose the control system in order to reach five dedicated goals: matching each part of the process to the compatible ressources, effectively deploying the configuration, executing the fusion process, analysing the system performance in order to improve it, and monitoring the execution in order to detect faults before failures occur. The final decision about updating the configuration comes from a negotiation between agents. The whole control system makes profit of the distributed resources thanks to a bio-inspired mechanism in which each agent infers its location in a control hierarchy from its CPU power and from its interactions with its neighbours. From a practical viewpoint, two tasks of the control system, respectively the one in charge of the deployment and the one in charge of the performance analysis, are implemented in eZFusion that is a distributed IFS developed over a network of OSGi frameworks.
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Submitted on : Friday, January 22, 2010 - 3:12:20 PM
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Olivier Passalacqua. contrôle et implantation des systèmes répartis de fusion d'informations. Informatique [cs]. Université de Savoie, 2009. Français. ⟨tel-00449751⟩

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