Media production using cloud and edge computing: Recent progress and NBMP-based implementation
Media production is facing tremendous challenges during processing and transmission, due
to large data volume, high computational complexity and real-time transmission …
to large data volume, high computational complexity and real-time transmission …
An End-to-End Pipeline Perspective on Video Streaming in Best-Effort Networks: A Survey and Tutorial
L Peroni, S Gorinsky - arXiv preprint arXiv:2403.05192, 2024 - arxiv.org
Video streaming continues to captivate attention of users and service providers, dominate in
Internet traffic, and form a vibrant research field. Taking a pragmatic approach to reviewing …
Internet traffic, and form a vibrant research field. Taking a pragmatic approach to reviewing …
[HTML][HTML] DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes
Recent years have witnessed a remarkable upsurge in the global proliferation of Real-Time
Communications (RTC) applications, a trend propelled by the flourishing advancement of …
Communications (RTC) applications, a trend propelled by the flourishing advancement of …
Revisiting Cellular Throughput Prediction over the Edge: Collaborative Multi-device, Multi-network in-situ Learning
A Sen, A Zunaid, S Chatterjee, B Palit… - arXiv preprint arXiv …, 2023 - arxiv.org
Pervasive applications over large-scale, distributed embedded devices and the Internet of
Things (IoT) demand precise coordination with the network; for example, several such …
Things (IoT) demand precise coordination with the network; for example, several such …
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications
The Real-time Transport Protocol (RTP)-based real-time communications (RTC)
applications, exemplified by video conferencing, have experienced an unparalleled surge in …
applications, exemplified by video conferencing, have experienced an unparalleled surge in …
Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes
Amidst the thriving advancement of networks, further catalyzed by the COVID-19 pandemic,
we have witnessed a marked escalation in the worldwide adoption of Real-Time …
we have witnessed a marked escalation in the worldwide adoption of Real-Time …
BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications
In recent years, an exponential upsurge in the global proliferation of Real-Time
Communications (RTC) applications has been witnessed, due to the prosperous …
Communications (RTC) applications has been witnessed, due to the prosperous …
OLNC: Online Learning of Network Conditions for Adaptive Video Streaming
State-of-the-art adaptive bit rate (ABR) strategies, either learning-based or condition-wised
approaches, resort to pre-training one or more ABR decision models offline in a simulator …
approaches, resort to pre-training one or more ABR decision models offline in a simulator …