The field of information theory provides powerful and elegant mathematical tools
for bounding the limits of communication networks.  Application of these tools
to real network systems requires new computational tools to enable the analysis
of large networks.  A strategy for building scalable computational tools for
bounding network capacities is outlined, and early results needed to implement
that strategy are described.