Our approach is based on a network tagging mechanism that marks network packets and/or network flows using the science domain and activity fields. These tags can then be captured by the R&E providers and correlated with their existing netflow data to better understand existing network patterns, estimate network usage and track activities...
Network Flow and Packet Marking for Global Scientific Computing