 and J. Yates, Argus: End- to-end service anomaly detection and localization from an ISP's point of view, Proceedings of the 31st annual IEEE International Conference on Computer Communications (INFOCOM), Orlando, Florida, March 25-30, 2012. [TONA] Z. Ge, M. Kosseifi, M. Osinski, H. Yan and J. Yates, Method and apparatus for quantifying the cus- tomer impact of cell tower outages, U.S. patent 9426665. [SON] J. Ramiro and K. Hamied (Editor), Self-Organizing Networks (SON): Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE, Wiley, 2011. [OUTAGE_MITIGATION] X. Xu, I. Broustis, Z. Ge, R. Govindan, A. Mahimkar, N.K. Shankaranarayanan and J. Wang, Magus: Minimizing cell service disruption during planned upgrades, Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies. Article No. 21, Heidelberg, Germany, December 01-04, 2015. [DEVOPS] M. Loukides, What is DevOps? O'Reilly, 2012. Network Operations [DEVOPS_PHOENIX] G. Kim, K. Behr, G. Spafford, The Phoenix Project: A Novel about IT, DevOps, and Helping Your Business Win, IT Revolution Process, 2014. [AGILE_1] htps://en.wikipedia.org/wiki/Agile_software_development. [AGILE_2] C. Larman, Agile and Iterative Development: A Manager's Guide, Addison-Wesley, 2004. [EDGEPLEX] A. Chiu, V. Gopalakrishnan, B. Han, M. Kablan, O. Spatscheck, C. Wang, and Y. Xu, EdgePlex: Decomposing the provider edge for flexibilty and reliabity, Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking Research. Article No. 15, Santa Clara, California, June 17-18, 2015. Taylor & Francis Taylor & Francis Group http://taylorandfrancis.com Network Measurements Raj Savoor and Kathleen Meier-Hellstern CONTENTS 16.1 SDN Data and Measurements 16.2 Use of Real-Time Network Data with SDN 16.2.1 Example of an IP/Optical Network with SDN Controller 16.2.2 Where and How to Measure Real-Time Network Data 16.2.3 Centralized TE Using SDN Controller to More Efficiently Manage TE Tunnels 16.2.4 Dynamically Manage and Reconfigure the Mappin