5 papers
Optimizing Adaptive Video Streaming in Mobile Networks via Online Learning
Theodoros Karagkioules, Georgios S. Paschos, Nikolaos Liakopoulos +3
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), i…
Classifying flows and buffer state for YouTube's HTTP adaptive streaming service in mobile networks
Dimitrios Tsilimantos, Theodoros Karagkioules, Stefan Valentin
Accurate cross-layer information is very useful to optimize mobile networks for specific applications. However, providing application-layer information to lower protocol layers has…
HTTP adaptive streaming with indoors-outdoors detection in mobile networks
Sami Mekki, Theodoros Karagkioules, Stefan Valentin
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…
Traffic Profiling for Mobile Video Streaming
Dimitrios Tsilimantos, Theodoros Karagkioules, Amaya Nogales-Gómez +1
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 profil…
A Comparative Case Study of HTTP Adaptive Streaming Algorithms in Mobile Networks
Theodoros Karagkioules, Dimitrios Tsilimantos, Cyril Concolato +1
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 i…