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Unveiling network and service performance degradation in the wild with mplane.

, , , , , , , and . IEEE Communications Magazine, 54 (3): 71-79 (2016)

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On the Role of Flows and Sessions in Internet Traffic Modeling: An Explorative Toy-Model., , , , , and . GLOBECOM, page 1-8. IEEE, (2009)Modeling of Call Dropping in Well-Established Cellular Networks., , and . EURASIP J. Wireless Comm. and Networking, (2007)A Survey on Big Data for Network Traffic Monitoring and Analysis., , , , and . IEEE Trans. Network and Service Management, 16 (3): 800-813 (2019)Device-Specific Traffic Characterization for Root Cause Analysis in Cellular Networks., , and . TMA, volume 9053 of Lecture Notes in Computer Science, page 64-78. Springer, (2015)On the ground truth problem of malicious DNS traffic analysis., , , , and . Comput. Secur., (2015)Distribution-Based Anomaly Detection in Network Traffic., , and . Data Traffic Monitoring and Analysis, volume 7754 of Lecture Notes in Computer Science, Springer, (2013)A review of DoS attack models for 3G cellular networks from a system-design perspective., , and . Comput. Commun., 33 (5): 551-558 (2010)COMINDIS - COllaborative Monitoring with MINimum DISclosure (Poster)., , and . TMA, volume 6613 of Lecture Notes in Computer Science, page 189-192. Springer, (2011)YouTube in the move: Understanding the performance of YouTube in cellular networks., , , and . Wireless Days, page 1-6. IEEE, (2014)Network security and anomaly detection with Big-DAMA, a big data analytics framework., , , , and . CloudNet, page 16-22. IEEE, (2017)