Hi Everyone. I need some support from anyone who deeply understand OpenSG
clustering algorithms and strategies.

Here´s the issue: I´m working on a big project together with my university
and we have a demand for real time simulations using a lot of
geometry (about 1 or 2 million triangles at least)  that changes all the
time (due to the simulations) and should necessarily run on a cluster.

Once we´re willing to use OpenSG as the scenegraph (among other things, also
because of the clustering native support of OpenSG), my task is to analyze
the efficiency of the clustering algorithms and strategies of OpenSG. I need
to study what happens behind the magic of OpenSG clustering (how the data is
transfered, including protocol details, the strategy of data sharing -
whether or not the whole geometry is sent every time even if just a small
part of it is changed)...

I know the first thing I should do in order to get all this information is
to open OpenSG source code and to study it (I´m doing it by now), but since
my time is VERY short (the report must be ready in 3 days, and the task was
assigned to me yesterday), I need any document that can help me to achieve
my goal of analyzing things behind OpenSG clustering (hard code details). I
need any benchmark document or algorithm analysis document or anything. Any
help will be very welcome.

Thank you very much. I hope anyone can help me on anything (any explanation
about any detail of OpenSG clustering will be very welcome to).
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