Anatomy of a Visualization On-Demand Server - A Service Oriented Architecture to Visually Explore Large Data Collections
Abstract
Facing the relentless information volume increase, users are not only lost in information overload, but also among the various ways to depict it. In this paper, we tackle this issue by providing end-users access to upto-date visualizations techniques, using remote services coupled to their local interactive environment. The outline of a Visualization On-Demand (VizOD) architecture is introduced, packaging information visualization processes into services reachable over a network. Our goal is to provide end-users flexible and personalized visual overviews of large datasets. We implemented a prototype partially validating our architecture, and discuss preliminary results of our experiments and give future work perspectives.
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