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We describe a “crowd measurement” project, referred to as PoQeMoN, whose main objective is to identify Quality of Service (QoS) indicators in order to predict the Quality of Experience (QoE) for HTTP YouTube content on mobile networks. Results are based on experiments on an operational network. The second contribution of this paper is to show that the proposed indicator is easy to implement in order...
With the proliferation of service-based systems (SBSs), more and more functionally equivalent services with different Quality-of-Service (QoS) are emerging. System vendors can select from these services to create service compositions to fulfill users' multi-dimensional QoS requirements. In order to address the QoS-aware service selection problem, various approaches have been proposed in recent years...
Proliferation of mobile digital devices has posed major challenges for design and implementation of Wireless Local Area Networks (WLANs), leading to stringent quality of service (QoS) requirements. Extreme burstiness and correlation characteristics of multimedia traffics generated by digital devices require accurate modelling and analysis to provide satisfactory end user experience. Most existing...
Quality of Experience (QoE) becomes a topic of utmost eminence for service providers and the major factor in the success of multimedia services. Thus, it is challenging to investigate thoroughly the human side of QoE in order to find out the impact of factors that affect user satisfaction. In this paper, we provide a structured way to build an accurate and objective QoE model. In order to serve this...
Using content delivery networks (CDNs) for video distribution has become a de facto approach for today's video streaming, due to the easy usage and good scalability. Today, it has become a norm rather than an exception for video providers to hire multiple cloud CDNs for their video services in a pay-per-use manner, to not only serve users at different locations, but also reduce the operation costs...
This paper aims to consider how changes in QoS (Quality of Service) indicators affect the quality of IPTV (Internet Protocol Television) video. Degradation of QoS indicators can occur at any point in time, when the value of transfer channel function changes or if there is an appearance of additional noise. Therefore, for this purpose it is necessary to conduct a temporal analysis of the impact of...
High data rates are usually envisaged by operators to satisfy the subscribers using multimedia services. However, due to the increasing number of tablets, smartphones, and push applications, user needs can require low throughput. A new analysis of user satisfaction is necessary--the so-called quality of experience (QoE). The authors consider specific key performance indicators (KPIs) and propose using...
At present, many mobile video perception studies are intended to describe the degree of correlation between the influencing indicators, but most of them are based on the experience of experts, so the results are imperfect comparatively. In this paper, a mobile video perception assessment model based on the improved analytic hierarchy process (IAHP) is proposed by mapping the key quality indicators...
Today, how to accurately predict the quality of experience (QoE) of the networking service is a very important issue for the network operator to optimize the service. However, due to the complex multi-dimensional characteristics of QoE, QoE estimation is extremely challenging. With utilizing the advantages of quality of service (QoS) in evaluating the networking performance, we exploit QoS/QoE correlation...
The user satisfaction measurement has gained high attention from Network Operators (NOs) and Service Providers (SPs) because their businesses are highly dependent on the user's satisfaction. Generally, the traditional strategies to measure the user's perception are based on Quality of Service (QoS), which is not sufficient to reflect the real user's perceived quality. Therefore, NOs and SPs start...
In this paper, we study the relationships between Quality of Service (QoS) and Quality of Experience (QoE) in a session-based Over-The-Top (OTT) video service. A number of Performance Metrics (PMs) with and without the existence of failures during a video are examined. As QoE factors, Technical Quality (TQ) and Acceptability are used. We analyze the correlation between QoS performance metrics and...
Machine Learning (ML) provides a theoretical and methodological framework that allows to quantify the relationship between the user's Quality of Experience (OoE) and the network's Quality of Service (QoS). In the literature, several ML-based QoS/QoE correlation models have been proposed. All of those models use inductive supervised learning techniques and most of them are built in an offline batch...
In order to understand the effects of QoE (Quality of Experience) on User Engagement, we measured QoE metrics on client side during Roland Garros 2013, an international tennis tournament broadcast live over the Internet. We analyze the impacts of four metrics on User Engagement: the video startup time, buffering ratio, average bitrate and content popularity. Our results demonstrate that video buffering...
In this paper, we evaluated and compared the QoS behavior of video traffic models for H.264 AVC video. The H.264 AVC models that we evaluated are: the Markov Modulated Gamma (MMG) model, the Discrete Autoregressive (DAR) model, the second order Autoregressive AR(2) model, and a wavelet-based model. These models were used to generate synthetic packet traces which were used in a simulation model to...
Finding the correlation among Quality of Experience (QoE) for video, measured Quality of Service (QoS) parameters in the network, and objective video performance metrics is a challenging task. This paper provides some analysis results on this issue. Our motivation is that streaming media content gets dominant position in the global traffic mix within the next few years. With the evolution of personal...
The machine learning provides a theoretical and methodological framework to quantify the relationship between user OoE (Quality of Experience) and network QoS (Quality of Service). This paper presents an overview of QoE-QoS correlation models based on machine learning techniques. According to the learning type, we propose a categorization of correlation models. For each category, we review the main...
To provide users with a high-quality experience, interactive telepresence system platforms must accommodate multiple performance profiles for diverse, shared cyberphysical activities.
In this paper optical code-division multiple-access (O-CDMA) packet network is considered, which offers inherent security in the access networks. The application of O-CDMA to multimedia transmission (voice, data, and video) is investigated. The simultaneous transmission of various services is achieved by assigning to each user unique multiple code signatures. Thus, by applying a parallel mapping technique,...
Distributed Interactive Multimedia Environments (DIMEs) enable geographically distributed people to interact with each other in a joint media-rich virtual environment for a wide range of activities, such as art performance, medical consultation, sport training, etc. The real-time collaboration is made possible by exchanging a set of multi-modal sensory streams over the network in real time. The characterization...
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