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pro vyhledávání: '"Karagkioules, Theodoros"'
Autor:
Karagkioules, Theodoros, Paschos, Georgios S., Liakopoulos, Nikolaos, Fiandrotti, Attilio, Tsilimantos, Dimitrios, Cagnazzo, Marco
In this paper, we propose a novel algorithm for video rate adaptation in HTTP Adaptive Streaming (HAS), based on online learning. The proposed algorithm, named Learn2Adapt (L2A), is shown to provide a robust rate adaptation strategy which, unlike mos
Externí odkaz:
http://arxiv.org/abs/1905.11705
Accurate cross-layer information is very useful to optimize mobile networks for specific applications. However, providing application-layer information to lower protocol layers has become very difficult due to the wide adoption of end-to-end encrypti
Externí odkaz:
http://arxiv.org/abs/1803.00303
In mobile networks, users may lose coverage when entering a building due to the high signal attenuation at windows and walls. Under such conditions, services with minimum bit-rate requirements, such as video streaming, often show poor Quality-of-Expe
Externí odkaz:
http://arxiv.org/abs/1705.08809
This paper describes a novel system that provides key parameters of HTTP Adaptive Streaming (HAS) sessions to the lower layers of the protocol stack. A non-intrusive traffic profiling solution is proposed that observes packet flows at the transmit qu
Externí odkaz:
http://arxiv.org/abs/1705.08733
HTTP Adaptive Streaming (HAS) techniques are now the dominant solution for video delivery in mobile networks. Over the past few years, several HAS algorithms have been introduced in order to improve user quality-of-experience (QoE) by bit-rate adapta
Externí odkaz:
http://arxiv.org/abs/1705.01762
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