UT-ECE professor Gustavo de Veciana has been awarded two grants by the National Science Foundation:
A $400K grant for a project entitled Dynamic coupling and flow-level performance in data networks, and, in conjunction with Professor George Kesidis from Penn State, a $300K grant for a project entitled Supporting unstructured peer-to-peer social networking.
The first project aims to develop new tools for analysis and prediction of data traffic performance on communication networks. A better understanding performance coupling among dynamic traffic flows is critical in moving toward a disciplined approach to protocol and network design.
The second project focuses on building peer-to-peer networking infrastructure that can adapt to outcomes of application transactions while addressing privacy concerns.