A survey of machine learning techniques for video quality prediction from quality of delivery metrics
O Izima, R de Fréin, A Malik - Electronics, 2021 - mdpi.com
A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …
applications. The growth of video streaming services places enormous pressure on network …
SCNTA: Monitoring of network availability and activity for identification of anomalies using machine learning approaches
Real-time network inspection applications face a threat of vulnerability as high-speed
networks continue to expand. For companies and ISPs, real-time traffic classification is an …
networks continue to expand. For companies and ISPs, real-time traffic classification is an …
Doubling Down on Wireless Capacity: A Review of Integrated Circuits, Systems, and Networks for Full Duplex
The relentless demand for data in our society has driven the continuous evolution of
wireless technologies to enhance network capacity. While current deployments of 5G have …
wireless technologies to enhance network capacity. While current deployments of 5G have …
Automating in-network machine learning
Using programmable network devices to aid in-network machine learning has been the
focus of significant research. However, most of the research was of a limited scope …
focus of significant research. However, most of the research was of a limited scope …
Youtube dataset on mobile streaming for internet traffic modeling and streaming analysis
Around 4.9 billion Internet users worldwide watch billions of hours of online video every day.
As a result, streaming is by far the predominant type of traffic in communication networks …
As a result, streaming is by far the predominant type of traffic in communication networks …
Inferring streaming video quality from encrypted traffic: Practical models and deployment experience
Inferring the quality of streaming video applications is important for Internet service
providers, but the fact that most video streams are encrypted makes it difficult to do so. We …
providers, but the fact that most video streams are encrypted makes it difficult to do so. We …
Vicrypt to the rescue: Real-time, machine-learning-driven video-qoe monitoring for encrypted streaming traffic
Video streaming is the killer application of the Internet today. In this article, we address the
problem of real-time, passive Quality-of-Experience (QoE) monitoring of HTTP Adaptive …
problem of real-time, passive Quality-of-Experience (QoE) monitoring of HTTP Adaptive …
A framework for in-network QoE monitoring of encrypted video streaming
I Orsolic, L Skorin-Kapov - IEEE access, 2020 - ieeexplore.ieee.org
With the amount of global network traffic steadily increasing, mainly due to video streaming
services, network operators are faced with the challenge of efficiently managing their …
services, network operators are faced with the challenge of efficiently managing their …
Fingerprinting technique for youtube videos identification in network traffic
Recently, many video streaming services, such as YouTube, Twitch, and Facebook, have
contributed to video streaming traffic, leading to the possibility of streaming unwanted and …
contributed to video streaming traffic, leading to the possibility of streaming unwanted and …
Planter: Rapid prototyping of in-network machine learning inference
In-network machine learning inference provides high throughput and low latency. It is ideally
located within the network, power efficient, and improves applications' performance. Despite …
located within the network, power efficient, and improves applications' performance. Despite …