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A Machine Learning Approach to End-to-End RTT Estimation and its Application to TCP.

, , , , and . ICCCN, page 1-6. IEEE, (2011)

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Software-defined-networking-enabled capacity sharing in user-centric networks., , , , , and . IEEE Commun. Mag., 52 (9): 28-36 (2014)On the heavy tail properties of spatial node density for realistic mobility modeling., , and . SECON, page 504-512. IEEE, (2014)On the Invariance of Spatial Node Density for Realistic Mobility Modeling., and . MASS, page 322-331. IEEE Computer Society, (2011)SAGA: socially- and geography-aware mobility modeling framework., , and . MSWiM, page 367-376. ACM, (2012)Software-defined networking based capacity sharing in hybrid networks., , , , , and . ICNP, page 1-6. IEEE Computer Society, (2013)Modeling spatial node density in waypoint mobility., and . MASS, page 453-457. IEEE Computer Society, (2012)On the symmetry of user mobility in wireless networks., and . WOWMOM, page 1-6. IEEE Computer Society, (2011)Calibration-free WLAN location system based on dynamic mapping of signal strength., and . MOBIWAC, page 92-99. ACM, (2006)Decentralizing SDN's control plane., , , , , and . LCN, page 402-405. IEEE Computer Society, (2014)A Machine Learning Approach to End-to-End RTT Estimation and its Application to TCP., , , , and . ICCCN, page 1-6. IEEE, (2011)