RAVE: Resource-Aware Visualization Environment

We present an architecture for remote, collaborative visualization of datasets over the Grid. This permits an implementation-agnostic approach, where different systems can be discovered, reserved and orchestrated without being concerned about specific hardware configurations. We illustrate the utility of our approach to deliver high-quality interactive visualizations of datasets (circa 1 million triangles) to physically remote users, whose local physical resources would be otherwise overwhelmed.