EFFECTOR: DASH QoE and QoS Evaluation Framework For EnCrypTed videO tRaffic
Author:
Affiliation:
1. University of Campinas (UNICAMP)
2. Ericsson Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10154252/10154208/10154448.pdf?arnumber=10154448
Reference23 articles.
1. Machine Learning-Assisted Closed-Control Loops for Beyond 5G Multi-Domain Zero-Touch Networks
2. ViCrypt to the Rescue: Real-Time, Machine-Learning-Driven Video-QoE Monitoring for Encrypted Streaming Traffic
3. Youtube goes 5G: Benchmarking youtube in 4G vs 5G through open datasets;ul mustafa;IEEE Globecom Demo Session,2022
4. A framework for QoS and QoE assessment of encrypted video traffic with 4G and 5G open datasets;ul mustafa;IEEE Globecom Demo Session,2022
5. DASH QoE Performance Evaluation Framework with 5G Datasets
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