2011
DOI: 10.1109/mcom.2011.5723811
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Improving end-to-end QoE via close cooperation between applications and ISPs

Abstract: Abstract-In recent years there has been a trend for more user participation in Internet-based services leading to an explosion of user-generated, tailored and reviewed content and social networking-based applications. The next generation of applications will continue this trend and be more interactive and distributed, putting the users at the centre of a massively multi-participant communications environment. Furthermore, future networked media environments will be high-quality, multi-sensory, multi-viewpoint … Show more

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Cited by 5 publications
(3 citation statements)
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“…Path selection, traffic management and frame filtering are mechanisms of the framework for the SVC video streaming over User Datagram Protocol/Real-time Transport Protocol (UDP/RTP). The interface presented in [33] is to enable the ISPs to deliver video contents efficiently and satisfy the user requirement for QoE through dynamic adaptation.…”
Section: Related Workmentioning
confidence: 99%
“…Path selection, traffic management and frame filtering are mechanisms of the framework for the SVC video streaming over User Datagram Protocol/Real-time Transport Protocol (UDP/RTP). The interface presented in [33] is to enable the ISPs to deliver video contents efficiently and satisfy the user requirement for QoE through dynamic adaptation.…”
Section: Related Workmentioning
confidence: 99%
“…Work in (Mathieu et al, 2011) argues that the end-to-end QoE can be improved by advocating a close cooperation between ISPs and applications via a comprehensive, mediaaware and open Collaboration Interface between Network and Applications (CINA). Mutual information is exchanged between the network layer and applications through CINA which bridges the two entities.…”
Section: B Qoe Optimisation Through Cross-layer Designmentioning
confidence: 99%
“…Figure 5. Overview of the cooperation system components and their relationships (Mathieu et al, 2011) In (Pejman Goudarzi, 2012) particle swarm optimisation is utilised to find an optimal rate by which the total weighted QoE of some competing video sources is optimised. It is also used for differentiated QoE enforcement between multiple competing scalable video sources.…”
Section: B Qoe Optimisation Through Cross-layer Designmentioning
confidence: 99%