thm based on a fictitious but realistic network topology and traffic matrix, and to use the centralized SDN traffic management capability. Eighteen teams from major US universities participated and the winning submission was a team from Cornell University based on a judging criterion that took into account both the speed of execution and the efficiency of the design. 2. Measurement scalability: If there are N endpoints then the measurement complexity increases as N2. The complexity will increase significantly as we move from core-to-core to edge- to-edge traffic flows and continued research on measurement techniques would be needed. A related capability is the ability to zoom in on a specific aspect of edge-to-edge measure- ments, which would be faster than sifting through the entire set of end-to-end traffic flows. 3. SDN controller resiliency: Typically, the centralized algorithm of the SDN controller will work in conjunction with distributed algorithms used by routers. It is important to make Building the Network of the Future sure that the decisions made by the centralized and the distributed algorithms are con- sistent. Also, usually there are multiple SDN controllers with one being active while the others are in a standby mode. It is important to ensure data synchronization among the multiple controllers SO that if the active controller fails then one of the standby controllers can become active and start functioning immediately and seamlessly. ACKNOWLEDGMENTS The authors would like to acknowledge the significant contributions of Soshant Bali, Gagan Choudhury, Kevin D'Souza, Minh Huynh, Carolyn Johnson, Richard Koch, Bala Krishnamurthy, Zhi Li, Ashima Mangla, Kartik Pandit, Donghoon Shin, Simon Tse, and Kang Xi. REFERENCES 1. Birk, M., G. Choudhury, B. Cortez, A. Goddard, N. Padi, A. Raghuram, K. Tse, S. Tse, A. Wallace, and K. Xi. Evolving to an SDN-enabled ISP backbone: Key technologies and applications. IEEE Communications Magazine, 54(10):129-135, 2016. 2. Jain, S., A. Kumar, S. Mandal, J. Ong, L. Pouti