427 research outputs found

    Service quality assurance for the IPTV networks

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    The objective of the proposed research is to design and evaluate end-to-end solutions to support the Quality of Experience (QoE) for the Internet Protocol Television (IPTV) service. IPTV is a system that integrates voice, video, and data delivery into a single Internet Protocol (IP) framework to enable interactive broadcasting services at the subscribers. It promises significant advantages for both service providers and subscribers. For instance, unlike conventional broadcasting systems, IPTV broadcasts will not be restricted by the limited number of channels in the broadcast/radio spectrum. Furthermore, IPTV will provide its subscribers with the opportunity to access and interact with a wide variety of high-quality on-demand video content over the Internet. However, these advantages come at the expense of stricter quality of service (QoS) requirements than traditional Internet applications. Since IPTV is considered as a real-time broadcast service over the Internet, the success of the IPTV service depends on the QoE perceived by the end-users. The characteristics of the video traffic as well as the high-quality requirements of the IPTV broadcast impose strict requirements on transmission delay. IPTV framework has to provide mechanisms to satisfy the stringent delay, jitter, and packet loss requirements of the IPTV service over lossy transmission channels with varying characteristics. The proposed research focuses on error recovery and channel change latency problems in IPTV networks. Our specific aim is to develop a content delivery framework that integrates content features, IPTV application requirements, and network characteristics in such a way that the network resource utilization can be optimized for the given constraints on the user perceived service quality. To achieve the desired QoE levels, the proposed research focuses on the design of resource optimal server-based and peer-assisted delivery techniques. First, by analyzing the tradeoffs on the use of proactive and reactive repair techniques, a solution that optimizes the error recovery overhead is proposed. Further analysis on the proposed solution is performed by also focusing on the use of multicast error recovery techniques. By investigating the tradeoffs on the use of network-assisted and client-based channel change solutions, distributed content delivery frameworks are proposed to optimize the error recovery performance. Next, bandwidth and latency tradeoffs associated with the use of concurrent delivery streams to support the IPTV channel change are analyzed, and the results are used to develop a resource-optimal channel change framework that greatly improves the latency performance in the network. For both problems studied in this research, scalability concerns for the IPTV service are addressed by properly integrating peer-based delivery techniques into server-based solutions.Ph.D

    HUC-HISF: A Hybrid Intelligent Security Framework for Human-centric Ubiquitous Computing

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    User generated content for IMS-based IPTV

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    Includes abstract.Includes bibliographical references.Web 2.0 services have been on the rise due to improved bandwidth availability. Users can now connect to the internet with a variety of portable devices which are capable of performing multiple tasks. Due to this, services such as Voice over IP (VoIP), presence, social networks, instant messaging (IM) and Internet Protocol television (IPTV) to mention but a few, started to emerge...This thesis proposed a framework that will offer user-generated content on an IMS-Based IPTV and the framework will include a personalised advertising system..

    Analyse intelligente de la qualité d'expérience (QoE) dans les réseaux de diffusion de contenu web et mutimédia

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    Today user experience is becoming a reliable indicator for service providers and telecommunication operators to convey overall end to end system functioning. Moreover, to compete for a prominent market share, different network operators and service providers should retain and increase the customers’ subscription. To fulfil these requirements they require an efficient Quality of Experience (QoE) monitoring and estimation. However, QoE is a subjective metric and its evaluation is expensive and time consuming since it requires human participation. Therefore, there is a need for an objective tool that can measure the QoE objectively with reasonable accuracy in real-Time. As a first contribution, we analyzed the impact of network conditions on Video on Demand (VoD) services. We also proposed an objective QoE estimation tool that uses fuzzy expert system to estimate QoE from network layer QoS parameters. As a second contribution, we analyzed the impact of MAC layer QoS parameters on VoD services over IEEE 802.11n wireless networks. We also proposed an objective QoE estimation tool that uses random neural network to estimate QoE from the MAC layer perspective. As our third contribution, we analyzed the effect of different adaption scenarios on QoE of adaptive bit rate streaming. We also developed a web based subjective test platform that can be easily integrated in a crowdsourcing platform for performing subjective tests. As our fourth contribution, we analyzed the impact of different web QoS parameters on web service QoE. We also proposed a novel machine learning algorithm i.e. fuzzy rough hybrid expert system for estimating web service QoE objectivelyDe nos jours, l’expĂ©rience de l'utilisateur appelĂ© en anglais « User Experience » est devenue l’un des indicateurs les plus pertinents pour les fournisseurs de services ainsi que pour les opĂ©rateurs de tĂ©lĂ©communication pour analyser le fonctionnement de bout en bout de leurs systĂšmes (du terminal client, en passant par le rĂ©seaux jusqu’à l’infrastructure des services etc.). De plus, afin d’entretenir leur part de marchĂ© et rester compĂ©titif, les diffĂ©rents opĂ©rateurs de tĂ©lĂ©communication et les fournisseurs de services doivent constamment conserver et accroĂźtre le nombre de souscription des clients. Pour rĂ©pondre Ă  ces exigences, ils doivent disposer de solutions efficaces de monitoring et d’estimation de la qualitĂ© d'expĂ©rience (QoE) afin d’évaluer la satisfaction de leur clients. Cependant, la QoE est une mesure qui reste subjective et son Ă©valuation est coĂ»teuse et fastidieuse car elle nĂ©cessite une forte participation humaine (appelĂ© panel de d’évaluation). Par consĂ©quent, la conception d’un outil qui peut mesurer objectivement cette qualitĂ© d'expĂ©rience avec une prĂ©cision raisonnable et en temps rĂ©el est devenue un besoin primordial qui constitue un challenge intĂ©ressant Ă  rĂ©soudre. Comme une premiĂšre contribution, nous avons analysĂ© l'impact du comportement d’un rĂ©seau sur la qualitĂ© des services de vidĂ©o Ă  la demande (VOD). Nous avons Ă©galement proposĂ© un outil d'estimation objective de la QoE qui utilise le systĂšme expert basĂ© sur la logique floue pour Ă©valuer la QoE Ă  partir des paramĂštres de qualitĂ© de service de la couche rĂ©seau. Dans une deuxiĂšme contribution, nous avons analysĂ© l'impact des paramĂštres QoS de couche MAC sur les services de VoD dans le cadre des rĂ©seaux sans fil IEEE 802.11n. Nous avons Ă©galement proposĂ© un outil d'estimation objective de la QoE qui utilise le rĂ©seau alĂ©atoire de neurones pour estimer la QoE dans la perspective de la couche MAC. Pour notre troisiĂšme contribution, nous avons analysĂ© l'effet de diffĂ©rents scĂ©narios d'adaptation sur la QoE dans le cadre du streaming adaptatif au dĂ©bit. Nous avons Ă©galement dĂ©veloppĂ© une plate-Forme Web de test subjectif qui peut ĂȘtre facilement intĂ©grĂ© dans une plate-Forme de crowd-Sourcing pour effectuer des tests subjectifs. Finalement, pour notre quatriĂšme contribution, nous avons analysĂ© l'impact des diffĂ©rents paramĂštres de qualitĂ© de service Web sur leur QoE. Nous avons Ă©galement proposĂ© un algorithme d'apprentissage automatique i.e. un systĂšme expert hybride rugueux basĂ© sur la logique floue pour estimer objectivement la QoE des Web service

    Fourth ERCIM workshop on e-mobility

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    Structural conditions for business model design in new information and communication services : a case study of multi-play and MVolP in Denmark and Norway

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    The report analyses the structural conditions for the design of business models regarding new information and communication services. The services examined are mobile VoIP (MVoIP) and multi-play – services that already are on the market, however in their infancy, and which represent different kinds of services in terms of structural conditions market-wise and in regulatory terms. As the two service categories are relatively new on the market, dominating business model designs have not yet settled and the strategic choices of companies are very open. Being on the market, the discussion on the business model design, however, transcends the purely speculative stage. The structural conditions studied are the market conditions including the regulatory conditions. In addition, the different technological solutions are examined, as MVoIP as well as multi-play include different technology solutions for the delivery of services to users. This means that the analysis includes technological as well as market-based and regulatory elements. The aim of the analysis of the structural conditions is two-fold: On the one hand, to deepen the understanding of the structural condition and, on the other hand, to discuss the conditions for different business model design options. The report examines the regulatory policies and market characteristics in MVoIP and multi-play as a basis for a discussion on how these policies and characteristics affect the business model decisions of service providers in the two areas. Using empirical material from Norway and Denmark, the report presents a comparative analysis of the structural conditions and the business model choices made by actors in the market. The basic theoretical framework for the analysis is the Structure-Conduct-Performance (SCP) framework. The strength of this framework is that it stretches all the way from the structural conditions, through the conduct (business models and strategies) of companies seen in connection with these structural conditions, to the actual performance of companies in the market. The focus of the present report is on the structural conditions with a view to the framework that these conditions constitute for the business model design of companies. The empirical basis of the report consists primarily of interviews with representatives from IT and telecom industry organizations, policy makers and regulators in the telecom area in Norway and Denmark

    Mobile Networks

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    The growth in the use of mobile networks has come mainly with the third generation systems and voice traffic. With the current third generation and the arrival of the 4G, the number of mobile users in the world will exceed the number of landlines users. Audio and video streaming have had a significant increase, parallel to the requirements of bandwidth and quality of service demanded by those applications. Mobile networks require that the applications and protocols that have worked successfully in fixed networks can be used with the same level of quality in mobile scenarios. Until the third generation of mobile networks, the need to ensure reliable handovers was still an important issue. On the eve of a new generation of access networks (4G) and increased connectivity between networks of different characteristics commonly called hybrid (satellite, ad-hoc, sensors, wired, WIMAX, LAN, etc.), it is necessary to transfer mechanisms of mobility to future generations of networks. In order to achieve this, it is essential to carry out a comprehensive evaluation of the performance of current protocols and the diverse topologies to suit the new mobility conditions
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