Performance analysis of collaborative real-time video quality of service prediction with machine learning algorithms

Author:

Babooram Lavesh,Fowdur Tulsi Pawan

Publisher

Springer Science and Business Media LLC

Reference60 articles.

1. Bouraqia, K., Sabir, E., Sadik, M., Ladid, L.: Quality of experience for streaming services: measurements, challenges and insights. IEEE Access 8, 13341–13361 (2020). https://doi.org/10.1109/access.2020.2965099

2. VNI Complete Forecast Highlights Global Internet Users: % of Population Devices and Connections per Capita Average Speeds Average Traffic per Capita per Month Global-2021 Forecast Highlights IP Traffic: 2016. https://www.cisco.com/c/dam/m/en_us/solutions/service-provider/vni-forecast-highlights/pdf/Global_2021_Forecast_Highlights.pdf. Accessed 14 March 2022

3. Statista: OTT video—worldwide | Statista market forecast. Statista (2022). https://www.statista.com/outlook/amo/media/tv-video/ott-video/worldwide. Accessed 26 February 2024.

4. Fowdur, T.P., Baulum, B.N., Beeharry, Y.: Performance analysis of network traffic capture tools and machine learning algorithms for the classification of applications, states and anomalies. Int. J. Inf. Technol. 12(3), 805–824 (2020). https://doi.org/10.1007/s41870-020-00458-0

5. Afzal, S., Testoni, V., Rothenberg, C.E., Kolan, P., Bouazizi, I.: A holistic survey of multipath wireless video streaming. J. Netw. Comput. Appl. 212, 103581 (2023). https://doi.org/10.1016/j.jnca.2022.103581

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