A survey on adaptive 360 video streaming: Solutions, challenges and opportunities

A Yaqoob, T Bi, GM Muntean - IEEE Communications Surveys …, 2020 - ieeexplore.ieee.org
Omnidirectional or 360° video is increasingly being used, mostly due to the latest
advancements in immersive Virtual Reality (VR) technology. However, its wide adoption is …

A survey on bitrate adaptation schemes for streaming media over HTTP

A Bentaleb, B Taani, AC Begen… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In this survey, we present state-of-the-art bitrate adaptation algorithms for HTTP adaptive
streaming (HAS). As a key distinction from other streaming approaches, the bitrate …

Neural adaptive video streaming with pensieve

H Mao, R Netravali, M Alizadeh - Proceedings of the conference of the …, 2017 - dl.acm.org
Client-side video players employ adaptive bitrate (ABR) algorithms to optimize user quality
of experience (QoE). Despite the abundance of recently proposed schemes, state-of-the-art …

Machine learning for networking: Workflow, advances and opportunities

M Wang, Y Cui, X Wang, S Xiao, J Jiang - Ieee Network, 2017 - ieeexplore.ieee.org
Recently, machine learning has been used in every possible field to leverage its amazing
power. For a long time, the networking and distributed computing system is the key …

Learning in situ: a randomized experiment in video streaming

FY Yan, H Ayers, C Zhu, S Fouladi, J Hong… - … USENIX Symposium on …, 2020 - usenix.org
We describe the results of a randomized controlled trial of video-streaming algorithms for
bitrate selection and network prediction. Over the last year, we have streamed 38.6 years of …

AI-enhanced offloading in edge computing: When machine learning meets industrial IoT

W Sun, J Liu, Y Yue - IEEE Network, 2019 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) enables intelligent industrial operations by
incorporating artificial intelligence (AI) and big data technologies. An AI-enabled framework …

CS2P: Improving video bitrate selection and adaptation with data-driven throughput prediction

Y Sun, X Yin, J Jiang, V Sekar, F Lin, N Wang… - Proceedings of the …, 2016 - dl.acm.org
Bitrate adaptation is critical in ensuring good users' quality-of-experience (QoE) in Internet
video delivery system. Several efforts have argued that accurate throughput prediction can …

A survey of rate adaptation techniques for dynamic adaptive streaming over HTTP

J Kua, G Armitage, P Branch - IEEE Communications Surveys & …, 2017 - ieeexplore.ieee.org
With companies such as Netflix and YouTube accounting for more than 50% of the peak
download traffic on North American fixed networks in 2015, video streaming represents a …

Using gans for sharing networked time series data: Challenges, initial promise, and open questions

Z Lin, A Jain, C Wang, G Fanti, V Sekar - Proceedings of the ACM …, 2020 - dl.acm.org
Limited data access is a longstanding barrier to data-driven research and development in
the networked systems community. In this work, we explore if and how generative …

Neural adaptive content-aware internet video delivery

H Yeo, Y Jung, J Kim, J Shin, D Han - 13th USENIX Symposium on …, 2018 - usenix.org
Internet video streaming has experienced tremendous growth over the last few decades.
However, the quality of existing video delivery critically depends on the bandwidth resource …