41,534 research outputs found
QoE-centric management of advanced multimedia services
Over the last years, multimedia content has become more prominent than ever. Particularly, video streaming is responsible for more than a half of the total global bandwidth consumption on the Internet. As the original Internet was not designed to deliver such real-time, bandwidth-consuming applications, a serious challenge is posed on how to efficiently provide the best service to the users. This requires a shift in the classical approach used to deliver multimedia content, from a pure Quality of Service (QoS) to a full Quality of Experience (QoE) perspective. While QoS parameters are mainly related to low-level network aspects, the QoE reflects how the end-users perceive a particular multimedia service. As the relationship between QoS parameters and QoE is far from linear, a classical QoS-centric delivery is not able to fully optimize the quality as perceived by the users. This paper provides an overview of the main challenges this PhD aims to tackle in the field of end-to-end QoE optimization of video streaming services and, more precisely, of HTTP Adaptive Streaming (HAS) solutions, which are quickly becoming the de facto standard for video delivery over the Internet
Modeling of Packet Streaming Services in Information Communication Networks
Application of the term video streaming in contemporary usage denotes compression techniques and
data buffering, which can transmit video in real time over the network. There is currently a rapid growth
and development of technologies using wireless broadband technology as a transport, which is a seri-
ous alternative to cellular communication systems. Adverse effect of the aggressive environment used
in wireless networks transmission results in data packets undergoing serious distortions and often get-
ting lost in transit. All existing research in this area investigate the known types of errors separately. At
present there are no standard approaches to determining the effect of errors on transmission quality of
services. Besides, the spate in popularity of multimedia applications has led to the need for optimization
of bandwidth allocation and usage in telecommunication networks. Modern telecommunication networks
should by their definition be able to maintain the quality of different applications with different Quality
of Service (QoS) levels. QoS requirements are generally dependent on the parameters of network and
application layers of the OSI model. At the application layer QoS depends on factors such as resolution,
bit rate, frame rate, video type, audio codecs, and so on. At the network layer, distortions (such as delay,
jitter, packet loss, etc.) are introduced
A Comparative Case Study of HTTP Adaptive Streaming Algorithms in Mobile Networks
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 adaptation. Their difference is mainly the required input
information, ranging from network characteristics to application-layer
parameters such as the playback buffer. Interestingly, despite the recent
outburst in scientific papers on the topic, a comprehensive comparative study
of the main algorithm classes is still missing. In this paper we provide such
comparison by evaluating the performance of the state-of-the-art HAS algorithms
per class, based on data from field measurements. We provide a systematic study
of the main QoE factors and the impact of the target buffer level. We conclude
that this target buffer level is a critical classifier for the studied HAS
algorithms. While buffer-based algorithms show superior QoE in most of the
cases, their performance may differ at the low target buffer levels of live
streaming services. Overall, we believe that our findings provide valuable
insight for the design and choice of HAS algorithms according to networks
conditions and service requirements.Comment: 6 page
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