scholarly journals Peripheral Sensing: Monitoring Quality of Experience for Video Services Based on Mobile Terminals

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 92778-92790
Author(s):  
Xiwen Liu ◽  
Xiaoming Tao ◽  
Yafeng Zhan ◽  
Jianhua Lu
Keyword(s):  
Quality Of Experience ◽  
Mobile Terminals ◽  
Video Services ◽  
Monitoring Quality

A Generic Adaptation Framework for Mobile Communication

2011 ◽  
Vol 2 (1) ◽  
pp. 46-57
Author(s):  
Hong Sun ◽  
Ning Gui ◽  
Chris Blondia
Keyword(s):  
Quality Of Service ◽  
Mobile Devices ◽  
Mobile Communication ◽  
Quality Of Experience ◽  
Adaptation Strategies ◽  
Easy Access ◽  
Mobile Terminals ◽  
System Resources ◽  
New Applications

Today, technologies are providing mobile terminals with much more powerful computational abilities. Such improvement has made it possible to run many complex applications on mobile devices. However, many of these new applications are also resource demanding. Lacking sufficient resources would cause performance failures and impact negatively on the users’ quality of experience. In order to improve this, it is important to provide the users with an easy access to specifying their requirements. It is also crucial to monitor the system resources and make corresponding adaptation immediately according to the user’s specifications. In this paper, the authors propose adaptation strategies that flexibly combine the process of monitoring and adaptation, which provides an easy way to specify user’s requirements. By tuning the quality of service, the applications’ demand on system resources is reduced, thus decreasing the chances of performance failures and improving the users’ quality of experience.

scholarly journals Mechanisms for QoE optimisation of Video Traffic: A review paper

2015 ◽  
Vol 1 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Qahhar Muhammad Qadir
Keyword(s):  
Quality Of Experience ◽  
Review Paper ◽  
The Internet ◽  
Video Traffic ◽  
Future Directions ◽  
The Past ◽  
New Methods ◽  
Video Services ◽  
Increasing Demand

Transmission of video traffic over the Internet has grown exponentially in the past few years with no sign of waning. This increasing demand for video services has changed user expectation of quality. Various mechanisms have been proposed to optimise Quality of Experience (QoE) of end user's video. Studying these approaches are necessary for new methods to be proposed or combination of existing ones to be tailored. We discuss challenges facing the optimisation of QoE for video traffic in this paper. It surveys and classifies these mechanisms based on their functions. The limitation of each of them is identified and future directions are highlighted.

A Novel Application Offloading Algorithm and an Optimized Application Servers Placement for Mobile Cloud Computing

2015 ◽  
Vol 6 (4) ◽  
pp. 19-38
Author(s):  
Amal Ellouze ◽  
Maurice Gagnaire
Keyword(s):  
Cloud Computing ◽  
Quality Of Experience ◽  
Mobile Cloud Computing ◽  
Energy Savings ◽  
Mobile Cloud ◽  
Mobile Terminals ◽  
Application Servers ◽  
Application Offloading ◽  
Computing Capacity

An application's offloading algorithm to over go the limitations of mobile terminals, namely their lack of computing capacity and limited battery autonomy is introduced. The proposed Mobile Application's Offloading algorithm enables to shift applicative jobs from mobile handsets to remote servers. The novelty of MAO consists in considering the Quality of Experience as an additional decision test before proceeding to application offloading. Based on various traffic scenarios, researchers study the efficiency of the MAO algorithm and show its performance in terms of rejected jobs and energy savings. First, the researchers consider the case where the application servers were placed systematically at the antenna's site. For a more realistic context of Mobile Cloud Computing, they extend the analysis by considering the case where the remote servers can be placed at different splitting points of the infrastructure. They assess by means of closed-forms fitting functions the performance of the MAO algorithm. Authors end this article with proposing an optimized applications servers placement.

Quality of Experience Inference for Video Services in Home WiFi Networks

2018 ◽  
Vol 56 (3) ◽  
pp. 187-193 ◽  
Author(s):  
Amir Ligata ◽  
Erma Perenda ◽  
Haris Gacanin
Keyword(s):  
Quality Of Experience ◽  
Wifi Networks ◽  
Video Services

scholarly journals Assessment of Quality of Experience (QoE) of Web and Video Services over a Mobile Network Using a Network Emulator

2020 ◽  
Vol 08 (05) ◽  
pp. 89-95
Author(s):  
Akpovi Ominike ◽  
Jonah Joshua ◽  
Oludele Awodele ◽  
Achimba Ogbonna
Keyword(s):  
Quality Of Experience ◽  
Mobile Network ◽  
Network Emulator ◽  
Video Services

scholarly journals Quality-of-experience assessment and its application to video services in lte networks

2015 ◽  
Vol 22 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Kan Zheng ◽  
Xiaoli Zhang ◽  
Qiang Zheng ◽  
Wei Xiang ◽  
Lajos Hanzo
Keyword(s):  
Quality Of Experience ◽  
Lte Networks ◽  
Video Services

A Generic Adaptation Framework for Mobile Communication

2012 ◽  
pp. 196-207
Author(s):  
Hong Sun ◽  
Ning Gui ◽  
Chris Blondia
Keyword(s):  
Quality Of Service ◽  
Mobile Devices ◽  
Mobile Communication ◽  
Quality Of Experience ◽  
Adaptation Strategies ◽  
Easy Access ◽  
Mobile Terminals ◽  
System Resources ◽  
New Applications

Today, technologies are providing mobile terminals with much more powerful computational abilities. Such improvement has made it possible to run many complex applications on mobile devices. However, many of these new applications are also resource demanding. Lacking sufficient resources would cause performance failures and impact negatively on the users’ quality of experience. In order to improve this, it is important to provide the users with an easy access to specifying their requirements. It is also crucial to monitor the system resources and make corresponding adaptation immediately according to the user’s specifications. In this paper, the authors propose adaptation strategies that flexibly combine the process of monitoring and adaptation, which provides an easy way to specify user’s requirements. By tuning the quality of service, the applications’ demand on system resources is reduced, thus decreasing the chances of performance failures and improving the users’ quality of experience.

scholarly journals Providing 3D Video Services: The Challenge From 2D to 3DTV Quality of Experience

2012 ◽  
Vol 16 (4) ◽  
pp. 115-134 ◽  
Author(s):  
José María Cubero ◽  
Jesús Gutiérrez ◽  
Pablo Pérez ◽  
Enrique Estalayo ◽  
Julián Cabrera ◽  
...  
Keyword(s):  
Quality Of Experience ◽  
3D Video ◽  
Video Services
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