A QoS-aware adaptive Web-based system

Muntean, Cristina Hava; McManis, Jennifer

doi:10.1109/icc.2004.1312909

Cited by 17 publications

(10 citation statements)

References 13 publications

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“…Many authors [20][21][22][23] have proposed QoE models to correlate performance metrics and user's perception on web service. Still, none of them is general enough to deal with all the QoE extensions.…”

Section: Qoe Evaluation Frameworkmentioning

confidence: 99%

Web QoE Evaluation in Multi-agent Networks: Validation of ITU-T G.1030

Ibarrola

Liberal

Taboada

et al. 2009

2009 Fifth International Conference on Autonomic and Autonomous Systems

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User's requirements have become a key factor for any Quality of Service (QoS) management model to succeed. The advent and rise of new broadband services and network architectures (Triple-Play-Services, NGN…) depends on the ability of providers to achieve user's expectations in these scenarios. For that reason, the overall end user's perception (Quality of Experience -QoE) must be audited, on a regular basis, to address changing user's needs. This paper presents a general system developed to evaluate QoE on IP networks. The system architecture is designed to be capable of emulating multi agent networks and dynamically changing conditions. In addition, the results of a Web browsing QoE experiment, laid out within this emulation system, are described. The experiment was conducted on the basis of ITU-T Recommendation G.1030, and aimed to update the perceptual model, provided in this Recommendation, to today's user requirements and technical improvements.

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Section: Qoe Evaluation Frameworkmentioning

confidence: 99%

Web QoE Evaluation in Multi-agent Networks: Validation of ITU-T G.1030

Ibarrola

Liberal

Taboada

et al. 2009

2009 Fifth International Conference on Autonomic and Autonomous Systems

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“…Over the past decade, a plethora of systems have been developed for adaptive content delivery to various devices over the World Wide Web [7,26,28,29,42]. The work of [29] proposes a QoS-aware adaptive Web-based architecture to allow for real time monitoring and modeling of network metrics, content and navigation preferences, as well as perceived performance related to user satisfaction of his/her Web experience.…”

Section: Prior Workmentioning

confidence: 99%

“…The work of [29] proposes a QoS-aware adaptive Web-based architecture to allow for real time monitoring and modeling of network metrics, content and navigation preferences, as well as perceived performance related to user satisfaction of his/her Web experience. In [26,42], an adaptive delivery framework is presented that consists of three main modules namely, user environment monitoring, decision engine, and content adaptation.…”

Section: Prior Workmentioning

confidence: 99%

Metadata-driven multimedia transcoding for distance learning

2007

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Advances in multimedia processing capabilities of electronic devices and the rapid growth of the Internet have contributed to the proliferation of collaborative applications such as distance learning (DL) webcasting. A key technical challenge in such DL systems is providing access to rich media content to any user regardless of device capabilities, network heterogeneity, and personal preferences. A novel MPEG-21-based adaptation architecture is presented to overcome these challenges by performing (1) application layer transcoding that adapts the presentation format of DL content to match device media decoding capabilities and user-desired modality, (2) bitstream transcoding to adapt multimedia to match device processing capabilities and encoding bit-rate supported by the network. Experimental results indicate that the proposed system delivers personalized DL content to meet end-user environmental restrictions with small transcoding overhead.

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“…For example, while user trying to browse a particular Web page, the server collects the context information then performs the adaptation (either by the system, application, or both) and delivers the adapted page accordingly. [1,4,12,13] are some of the systems that perform adaptation at the server side. However, this approach may experience requests' overload and heavy traffic.…”

Section: Localities Of Content Adaptationmentioning

confidence: 99%

A classification for content adaptation system

Fudzee

Abawajy

2008

Proceedings of the 10th International Conference on Information Integration and Web-Based Applications &Amp; Services

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Content adaptation is an attractive solution for the ever growing desktop based Web content delivered to the user via heterogeneous devices, in order to provide acceptable experience while surfing the Web. Bridging the mismatch between the rich content and the user device's resources (display, processing, navigation, network bandwidth, media support) without user intervention requires a proactive behavior. While content adaptation poses multitude of benefits, without proper strategies, adaptation will not be truly optimized. There have been many projects focused on content adaptation that have been designed with different goals and approaches. In this paper, we introduce a comprehensive classification for content adaptation system. The classification is used to group the approaches applied in the implementation of existing content adaptation system. Survey on some content adaptation systems also been provided. We also present the research spectrum in content adaptation and discuss the challenges.

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A QoS-aware adaptive Web-based system

Cited by 17 publications

References 13 publications

Web QoE Evaluation in Multi-agent Networks: Validation of ITU-T G.1030

Web QoE Evaluation in Multi-agent Networks: Validation of ITU-T G.1030

Metadata-driven multimedia transcoding for distance learning

A classification for content adaptation system

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