Continuous One-Way Detection of Available Bandwidth Changes for Video Streaming Over Best-Effort Networks

Autor:	Abdulsalam Yassine, Shervin Shirmohammadi, Aziz Khanchi, Abbas Javadtalab, Mehdi Semsarzadeh
Rok vydání:	2015
Předmět:	Network packet Computer science business.industry Real-time computing Round-trip delay time Packet loss Path (graph theory) Bandwidth (computing) The Internet Electrical and Electronic Engineering business Instrumentation Computer network Jitter
Zdroj:	IEEE Transactions on Instrumentation and Measurement. 64:190-203
ISSN:	1557-9662 0018-9456
Popis:	Video streaming over best-effort networks, such as the Internet, is now a significant application used by most Internet users. However, best-effort networks are characterized by dynamic and unpredictable changes in the available bandwidth, which adversely affect the quality of video. As such, it is important to have real-time detection mechanisms of bandwidth changes to ensure that video is adapted to the available bandwidth and transmitted at the highest quality. In this paper, we propose a Bayesian instantaneous end-to-end bandwidth change prediction model and method to detect and predict one-way bandwidth changes at the receiver. Unlike existing congestion detection mechanisms, which use network parameters such as packet loss probability, round trip time (RTT), or jitter, our approach uses weighted interarrival time of video packets at the receiver side. Furthermore, our approach is continuous, since it measures available bandwidth changes with each incoming video packet, and therefore detects congestion occurrence in
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3b8d7404f5274b15ba33673e64b5dd7c https://doi.org/10.1109/tim.2014.2331423 Zobrazit plný text záznamu