Proceedings ArticleDOI
Confused, timid, and unstable: picking a video streaming rate is hard
Te-Yuan Huang,Nikhil Handigol,Brandon Heller,Nick McKeown,Ramesh Johari +4 more
- pp 225-238
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TLDR
This work measures three popular video streaming services -- Hulu, Netflix, and Vudu -- and finds that accurate client-side bandwidth estimation above the HTTP layer is hard, and rate selection based on inaccurate estimates can trigger a feedback loop, leading to undesirably variable and low-quality video.Abstract:
Today's commercial video streaming services use dynamic rate selection to provide a high-quality user experience. Most services host content on standard HTTP servers in CDNs, so rate selection must occur at the client. We measure three popular video streaming services -- Hulu, Netflix, and Vudu -- and find that accurate client-side bandwidth estimation above the HTTP layer is hard. As a result, rate selection based on inaccurate estimates can trigger a feedback loop, leading to undesirably variable and low-quality video. We call this phenomenon the "downward spiral effect", and we measure it on all three services, present insights into its root causes, and validate initial solutions to prevent it.read more
Citations
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Proceedings ArticleDOI
Performance Evaluation of Congestion Window Validation for DASH Transport
Sajid Nazir,Ziaul Hossain,Raffaello Secchi,Matthew Broadbent,Andreas Petlund,Gorry Fairhurst +5 more
TL;DR: The results confirm that newCWV with Pacing provides a benefit as a platform for DASH transport and can promote better capacity sharing while minimizing the latency experienced by other flows sharing a common network bottleneck.
Proceedings ArticleDOI
ES-HAS: an edge- and SDN-assisted framework for HTTP adaptive video streaming
Reza Farahani,Farzad Tashtarian,Alireza Erfanian,Christian Timmerer,Mohammad Ghanbari,Hermann Hellwagner +5 more
TL;DR: In this article, the authors leverage the capability of SDN and Network Function Virtualization (NFV) to introduce an edge and SDN-assisted video streaming framework called ES-HAS, which employs virtualized edge components to collect HAS clients' requests and retrieve networking information in a time-slotted manner.
Proceedings ArticleDOI
On delimiting video rebuffering for stream-switching adaptive applications
TL;DR: This work proposes a novel approach for switching video representation based on the estimated probability of video rebuffering, calculated using an analytical model of playout buffer and measured segment download time characteristics.
Journal ArticleDOI
QoE-Fair DASH Video Streaming Using Server-side Reinforcement Learning
TL;DR: To design an optimal adaptive video streaming method, video service providers need to consider both the efficiency and the fairness of the Quality of Experience (QoE) of their users.
Patent
Systems and methods for detection of infected websites
TL;DR: In this article, a semantic finder receives top-level domains and identifies keywords of the toplevel domains representing a predetermined semantics, the keywords are compared with irrelevant bad terms to find at least one irrelevant term.
References
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Proceedings ArticleDOI
Understanding the impact of video quality on user engagement
Florin Dobrian,Vyas Sekar,Asad Awan,Ion Stoica,Dilip Antony Joseph,Aditya Ravikumar Ganjam,Jibin Zhan,Hui Zhang +7 more
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Proceedings ArticleDOI
Unreeling netflix: Understanding and improving multi-CDN movie delivery
Vijay Kumar Adhikari,Yang Guo,Fang Hao,Matteo Varvello,Volker Hilt,Moritz Steiner,Zhi-Li Zhang +6 more
TL;DR: A measurement study of Netflix is performed to uncover its architecture and service strategy, and finds that Netflix employs a blend of data centers and Content Delivery Networks (CDNs) for content distribution.