Grid enabled remote visualization of medical datasets.
We present an architecture for remote 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 medical datasets (circa 1 million triangles) to physically remote users, whose local physical resources would be otherwise overwhelmed. Our architecture extends to a full collaborative, resource-aware environment, whilst our presentation details our first proof-of-concept implementation.
Avis
Nick J
NJ
Cardiff School of Computer Science, Cardiff University, Queen's Buildings, 5 The Parade, Roath, Cardiff CF24 3AA, United Kingdom.
Grimstead
Ian J
IJ
Walker
David W
DW
D003628:Database Management Systems; D006801:Humans; D008490:Medical Informatics; D018511:Systems Integration; D014481:United States