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Dissecting Video Server Selection Strategies in the YouTube CDN.

, , , , , and . ICDCS, page 248-257. IEEE Computer Society, (2011)

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Statistical network monitoring: Methodology and application to carrier-grade NAT., , , , , , and . Comput. Networks, (2016)A First Characterization of Anycast Traffic from Passive Traces., , , , , , and . TMA, IFIP, (2016)Who to blame when YouTube is not working? detecting anomalies in CDN-provisioned services., , , , and . IWCMC, page 435-440. IEEE, (2014)Comparing P2PTV Traffic Classifiers., , , , , , and . ICC, page 1-6. IEEE, (2010)YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points., , , , , and . EuCNC, page 1-5. IEEE, (2014)Real-time deep learning based traffic analytics., , , and . SIGCOMM Posters and Demos, page 76-78. ACM, (2020)A Study of the Impact of DNS Resolvers on Performance Using a Causal Approach., , , , and . ITC, page 10-18. IEEE, (2015)Towards a systematic multi-modal representation learning for network data., , , , and . HotNets, page 181-187. ACM, (2022)FENXI: Deep-learning Traffic Analytics at the edge., , , and . SEC, page 202-213. IEEE, (2021)Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation., , , , , and . IMC, page 36-51. ACM, (2023)