scholarly journals Definition of QoE Fairness in Shared Systems

2017 ◽  
Author(s):  
Tobias Hobfeld ◽  
Lea Skorin-Kapov ◽  
Poul E. Heegaard ◽  
Martin Varela
Keyword(s):  
Quality Of Experience ◽  
System Optimization ◽  
Web Content ◽  
End User ◽  
Fairness Index ◽  
Application Management ◽  
Bottleneck Link ◽  
User Centric ◽  
Definition Of

IEEE Communications Letters Vol.21 Nr.1, 184-187 ; User-centric service and application management focuses on the quality of experience (QoE) as perceived by the end user. Thereby, the goal is to maximize QoE while ensuring fairness among users, e.g., for resource allocation and scheduling in shared systems. Although the literature suggests to consider consequently QoE fairness, there is currently no accepted definition of QoE fairness. The contribution of this letter is the definition of a generic QoE fairness index F , which has desirable key properties as well as the rationale behind it. By using examples and a measurement study involving multiple users downloading web content over a bottleneck link, we differentiate the proposed index from QoS fairness and the widely used Jain's fairness index. Based on results, we argue that neither QoS fairness nor Jain's fairness index meet all of the desirable QoE-relevant Properties, which are met by F . Consequently, the proposed index F may be used to compare QoE fairness across systems and applications, thus serving as a benchmark for QoE management mechanisms and system optimization.

scholarly journals An Adaptive Bitrate Switching Algorithm for Speech Applications in Context of WebRTC

2021 ◽  
Vol 17 (4) ◽  
pp. 1-21
Author(s):  
Mohannad Alahmadi ◽  
Peter Pocta ◽  
Hugh Melvin
Keyword(s):  
Real Time ◽  
Data Exchange ◽  
Quality Of Experience ◽  
End User ◽  
High Quality ◽  
Content Type ◽  
Switching Algorithm ◽  
Wide Range ◽  
The Impact

Web Real-Time Communication (WebRTC) combines a set of standards and technologies to enable high-quality audio, video, and auxiliary data exchange in web browsers and mobile applications. It enables peer-to-peer multimedia sessions over IP networks without the need for additional plugins. The Opus codec, which is deployed as the default audio codec for speech and music streaming in WebRTC, supports a wide range of bitrates. This range of bitrates covers narrowband, wideband, and super-wideband up to fullband bandwidths. Users of IP-based telephony always demand high-quality audio. In addition to users’ expectation, their emotional state, content type, and many other psychological factors; network quality of service; and distortions introduced at the end terminals could determine their quality of experience. To measure the quality experienced by the end user for voice transmission service, the E-model standardized in the ITU-T Rec. G.107 (a narrowband version), ITU-T Rec. G.107.1 (a wideband version), and the most recent ITU-T Rec. G.107.2 extension for the super-wideband E-model can be used. In this work, we present a quality of experience model built on the E-model to measure the impact of coding and packet loss to assess the quality perceived by the end user in WebRTC speech applications. Based on the computed Mean Opinion Score, a real-time adaptive codec parameter switching mechanism is used to switch to the most optimum codec bitrate under the present network conditions. We present the evaluation results to show the effectiveness of the proposed approach when compared with the default codec configuration in WebRTC.

Quality of Experience (QoE) for Wireless Video Over Critical Communication Systems

2017 ◽  
pp. 132-167
Author(s):  
Emad Danish ◽  
Mazin I. Alshamrani
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Energy Consumption ◽  
Communication Systems ◽  
Quality Of Experience ◽  
Service Providers ◽  
Wireless Video ◽  
User Centric ◽  
Near Future

Video streaming is expected to acquire a massive share of the global internet traffic in the near future. Meanwhile, it is expected that most of the global traffic will be carried over wireless networks. This trend translates into considerable challenges for Service Providers (SP) in terms of maintaining consumers' Quality of Experience (QoE), energy consumption, utilisation of wireless resources, and profitability. However, the majority of Radio Resource Allocation (RRA) algorithms only consider enhancing Quality of Service (QoS) and network parameters. Since this approach may end up with unsatisfied customers in the future, it is essential to develop innovative RRA algorithms that adopt a user-centric approach based on users' QoE. This chapter focus on wireless video over Critical communication systems that are inspired by QoE perceived by end users. This chapter presents a background to introduce the reader to this area, followed by a review of the related up-to-date literature.

End-User Quality of Experience-Aware Personalized E-Learning

2011 ◽  
pp. 281-301
Author(s):  
Cristina Hava Muntean ◽  
Gabriel-Miro Muntean
Keyword(s):  
Learning Process ◽  
User Satisfaction ◽  
Quality Of Experience ◽  
Learning System ◽  
Learning Performance ◽  
End User ◽  
Delivery Performance ◽  
E Learning ◽  
Result Analysis

Lately, user quality of experience (QoE) during their interaction with a system is a significant factor in the assessment of most systems. However, user QoE is dependent not only on the content served to the users, but also on the performance of the service provided. This chapter describes a novel QoE layer that extends the features of classic adaptive e-learning systems in order to consider delivery performance in the adaptation process and help in providing good user perceived QoE during the learning process. An experimental study compared a classic adaptive e-learning system with one enhanced with the proposed QoE layer. The result analysis compares learner outcome, learning performance, visual quality and usability of the two systems and shows how the QoE layer brings significant benefits to user satisfaction improving the overall learning process.

User-Centric Quality-of-Experience Optimization and Scheduling of Multicolor LEDs in VLC Systems

2019 ◽  
Vol 13 (3) ◽  
pp. 2275-2284 ◽  
Author(s):  
Xu Bao ◽  
Xinxin Gu ◽  
Wence Zhang ◽  
Hsiao-Hwa Chen
Keyword(s):  
Quality Of Experience ◽  
User Centric

scholarly journals User-Centric Quality of Experience Measurement

2014 ◽  
pp. 33-46 ◽  
Author(s):  
Bachir Chihani ◽  
Khalil ur Rehman Laghari ◽  
Emmanuel Bertin ◽  
Denis Collange ◽  
Noël Crespi ◽  
...  
Keyword(s):  
Quality Of Experience ◽  
User Centric

scholarly journals The Challenge of User-And QoE-Centric Research and Product Development in Today's ICT-Environment

1970 ◽  
Vol 1 (3) ◽  
Author(s):  
Lieven De Marez ◽  
Katrien De Moor
Keyword(s):  
Technology Development ◽  
Central Place ◽  
Life Cycles ◽  
New Approach ◽  
Innovation And Technology ◽  
User Expectations ◽  
User Centric ◽  
Definition Of ◽  
Development Literature

Within today’s ICT environment, trends like a growing convergence and increasing competition, have led to a fast-changing market with an increasing speed of innovation development and shortening product life cycles. Because of the skipping of research stadia, the lack of insight in the end-user expectations, needs, experiences, and of suitable methodologies … the number of failing innovations has increased remarkably. On the other hand, the boom on the supply-side led to an enormeous empowerment of the consumer. Influenced by these trends, a clear evolution towards a more user-centric, ‘pull’-driven mentality started to manifest itself from the early nineties on. In this respect, the concept of ‘Quality of Experience’(QoE) started to acquire a central place in today’s innovation and technology development literature, as the success of innovations has become highly dependent on the experience of the user. This paper focuses on two major challenges 1) ‘What is QoE?’: to date, there still exists a lot of inconsistency and confusion about the interpretation and definition of QoE. In order to tackle this challenge a conceptual model of QoE is presented. The second challenge is related to the question 2) ‘How should QoE be measured?’ In this respect, an overview of the most important problems is given and a new approach for more user-centric QoE-measurement is proposed.

scholarly journals Balanceamento de Tráfego entre Servidores de Vídeo MPEG-DASH em Redes Definidas por Software

2019 ◽  
Author(s):  
Edenilson Jônatas dos Passos ◽  
Adriano Fiorese
Keyword(s):  
Quality Of Experience ◽  
Optimal Choice ◽  
Network Congestion ◽  
End User ◽  
Video Distribution ◽  
Ip Network ◽  
Bandwidth Limitation ◽  
Streaming Service ◽  
Server Overload

With popularization of video streaming service in recent years, new video distribution technologies have been created. Currently, one of the most promising ones is the Moving Picture Expert Group Dynamic Adaptive Streaming over HTTP or MPEG-DASH. However, with the limitation of the TCP/IP network structure, the end user quality of experience may be affected. This is due to several factors such as network congestion, bandwidth limitation, non-optimal choice of a content provider server and server overload. This article presents a load-balancing solution between MPEG-DASH video servers based on Software Defined Networks, using as a balancing metric the throughput of the content server.

scholarly journals Virtual User in the IoT: Definition, Technologies and Experiments

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4489
Author(s):  
Roberto Girau ◽  
Raimondo Cossu ◽  
Massimo Farina ◽  
Virginia Pilloni ◽  
Luigi Atzori
Keyword(s):  
Quality Of Experience ◽  
User Profile ◽  
Physical World ◽  
Legal Issues ◽  
User Profiling ◽  
Context Management ◽  
Management Quality ◽  
Definition Of ◽  
The Internet Of Things

Virtualization technologies are characterizing major advancements in the Internet of Things (IoT) arena, as they allow for achieving a cyber-physical world where everything can be found, activated, probed, interconnected, and updated at both the virtual and the physical levels. We believe these technologies should apply to human users other than things, bringing us the concept of the Virtual User (VU). This should represent the virtual counterpart of the IoT users with the ultimate goal of: (i) avoiding the user from having the burden of following the tedious processes of setting, configuring and updating IoT services the user is involved in; (ii) acting on behalf of the user when basic operations are required; (iii) exploiting to the best of its ability the IoT potentialities, always taking always account the user profile and interests. Accordingly, the VU is a complex representation of the user and acts as a proxy in between the virtual objects and IoT services and application; to this, it includes the following major functionalities: user profiling, authorization management, quality of experience modeling and management, social networking and context management. In this respect, the major contributions of this paper are to: provide the definition of VU, present the major functionalities, discuss the legal issues related to its introduction, provide some implementation details, and analyze key performance aspects in terms of the capability of the VU to correctly identify the user profile and context.

Sign in / Sign up

Export Citation Format

Share Document