. Cisco, Cisco Visual Networking Index: Forecast and Methodology, 2017.

X. Liu, F. Dobrian, H. Milner, J. Jiang, V. Sekar et al., A case for a coordinated internet video control plane, Proc. ACM SIGCOMM, 2012.

B. A. Nunes, M. Mendonca, X. Nguyen, K. Obraczka, and T. Turletti, A survey of software-defined networking: Past, present, and future of programmable networks, IEEE Communications Surveys & Tutorials, vol.16, issue.3, pp.1617-1634, 2014.

G. Dimopoulos, I. Leontiadis, P. Barlet-ros, and K. Papagiannaki, Measuring Video QoE from Encrypted Traffic, Proc. ACM IMC, 2016.

H. Nam, K. Kim, and H. Schulzrinne, Qoe matters more than qos: Why people stop watching cat videos, Proc. IEEE INFOCOM, 2016.

T. Stockhammer, Dynamic Adaptive Streaming over HTTP: Standards and Design Principles, Proc. ACM MMSys, 2011.

X. Yin, A. Jindal, V. Sekar, and B. Sinopoli, A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP, ACM SIGCOMM, pp.325-338, 2015.

G. Dimopoulos, I. Leontiadis, P. Barlet-ros, and K. Papagiannaki, Measuring video qoe from encrypted traffic, Proc. ACM IMC, 2016.

F. Zhang, W. Lin, Z. Chen, and K. N. Ngan, Additive log-logistic model for networked video quality assessment, IEEE Trans. on Image Proc, vol.22, issue.4, pp.1536-1547, 2013.

I. , Parametric non-intrusive bitstream assessment of video media streaming quality-Higher resolution application area, 2013.

W. Song and D. W. Tjondronegoro, Acceptability-based qoe models for mobile video, IEEE Transactions on Multimedia, vol.16, issue.3, pp.738-750, 2014.

Z. Chen, N. Liao, X. Gu, F. Wu, and G. Shi, Hybrid distortion ranking tuned bitstream-layer video quality assessment, IEEE Trans. on Circuits and Systems for Video Technology, vol.26, issue.6, pp.1029-1043, 2016.

T. Hoßfeld, S. Biedermann, R. Schatz, A. Platzer, S. Egger et al., The memory effect and its implications on web qoe modeling, Proc. IEEE ITC, 2011.

T. Huang, R. Johari, N. Mckeown, M. Trunnell, and M. Watson, A buffer-based approach to rate adaptation: Evidence from a large video streaming service, ACM SIGCOMM CCR, vol.44, issue.4, 2015.

P. T. Quang, K. Piamrat, K. D. Singh, and C. Viho, Video streaming over ad hoc networks: A qoe-based optimal routing solution, IEEE Tran. on Veh. Tech, vol.66, issue.2, pp.1533-1546, 2017.

Y. Lin, E. M. Oliveira, S. B. Jemaa, and S. E. Elayoubi, Machine learning for predicting qoe of video streaming in mobile networks, Proc. IEEE ICC, 2017.

C. Kreuzberger, D. Posch, and H. Hellwagner, AMuSt FrameworkAdaptive Multimedia Streaming Simulation Framework for ns-3 and ndnSIM, 2016.

D. Koller and N. Friedman, Probabilistic graphical models: principles and techniques, 2009.

C. M. Bishop, Pattern recognition and machine learning, 2006.

H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng, Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, Proc. ACM ICML, 2009.

V. Vasilev, Chromatic polynomial heuristics for connectivity prediction in wireless sensor networks, ICEST 2016, pp.28-30, 2016.

V. G. Vasilev, Algorithms and Heuristics for Data Mining in Sensor Networks, 2016.

D. Tsilimantos, T. Karagkioules, A. Nogales-gómez, and S. Valentin, Traffic profiling for mobile video streaming, Proc. IEEE ICC, 2017.