A buffer-based approach to rate adaptation

By Te-Yuan Huang, Ramesh Johari, Nick McKeown, Matthew Trunnell. Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2014

666 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/40d3bb2748ac08e5c064845a3b4a0abe302da18b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

A variegated look at 5G in the wild: performance, power, and QoE implications (2021, methodology): “(1) Buffer-based: BBA [32] and BOLA [56] make bitrate decisions based on the buffer occupancy.”
A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP (2019, background): “[66] proposed a set of buffer-based rate selection algorithms, named BBA that aim to maximize the average video quality and avoid unnecessary rebuffering events.”
Decimeter-Level Localization with a Single WiFi Access Point (2016, background): “In other words, buffers in today’s video streaming applications can largely cushion such short-lived outages [26, 25], minimizing impact on user experience.”
A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP (2015, neutral): “ISBN 978-1-4503-3542-3/15/08. . . $15.00 DOI: http://dx.doi.org/10.1145/2785956.2787486”
A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges (2019, background): “, BBA [175] and PANDA [176]), SDNHAS increases QoE fairness over 33%, video stability over 32% and network resource utilization over 29% on average.”
BOLA: Near-optimal bitrate adaptation for online videos (2016, neutral): “DASH is broadly similar to the other ABR protocols and is a particular focus in our empirical evaluation.”
CS2P: Improving Video Bitrate Selection and Adaptation with Data-Driven Throughput Prediction (2016, methodology): “To meet these new application-level QoE goals, video players need intelligent bitrate selection and adaptation algorithms [27,30].”
Oboe: auto-tuning video ABR algorithms to network conditions (2018, methodology): “Despite widespread deployment, ABR algorithms continue to be an active area of research [32, 34, 39, 48, 51, 59].”