Hi Jamie, what kinds of parallelism factors are in STEM? Is it a
candidate for Map/Reduce? It would really neat to see if there is a use
case for "cloud computing" in its computations. And, if you wanted to
make it a "software as a service" application for mass consumption,
perhaps even beyond the epidemiology, "the cloud" would be a great way
to host the computationally-intensive service.
As for how to do it as a Web app, a smartly done Google Maps interface
would really enhance the usability in my opinion. I'm not sure you can
duplicate the polygon renderings in the application's main visualizer in
Google Maps due to the browser's resource uses, but you could still do
some really interesting views merging the BIRT reports with municipality
markers in Google Maps. There are a ton of "mashup" uses IMO.
-Matt
James Kaufman wrote:
STEM should also run as a web application. Please put your ideas on the
best way to do this hear under this item.