Real-Time QoE Monitoring System for Video Streaming Services with Adaptive Media Playout

Abstract

Quality of Experience (QoE) of video streaming services has been attracting more and more attention recently. Therefore, in this work we designed and implemented a real-time QoE monitoring system for streaming services with Adaptive Media Playout (AMP), which was implemented into the VideoLAN Client (VLC) media player to dynamically adjust the playout rate of videos according to the buffer fullness of the client buffer. The QoE monitoring system reports the QoE of streaming services in real time so that network/content providers can monitor the qualities of their services and resolve troubles immediately whenever their subscribers encounter them. Several experiments including wired and wireless streaming were conducted to show the effectiveness of the implemented AMP and QoE monitoring system. Experimental results demonstrate that AMP significantly improves the QoE of streaming services according to the Mean Opinion Score (MOS) estimated by our developed program. Additionally, some challenging issues in wireless streaming have been easily identified using the developed QoE monitoring system.

EmuStream—An End-to-End Platform for Streaming Video Performance Measurement

“…They enable controlled experiments for offline QoE evaluation (as opposed to real-time QoE monitoring in production environments [41]) for any existing streaming platforms, even proprietary ones. Fig.…”

Loss-Aware CMT-Based Multipathing Scheme for Efficient Data Delivery to Heterogeneous Wireless Networks

“…To alleviate the differences of packet loss and improve the efficiency of data delivery, we extended our + + solution to propose CMT-LA, a packet loss detection and packet scheduling solution. This approach aimed to identify the packet loss of the various paths and then distribute data packets adaptively across multiple available paths according 4 International Journal of Digital Multimedia Broadcasting to their packet loss. CMT-LA can be associated with existing CMT solutions.…”

“…Moreover, users find it convenient to access multimedia streaming services (e.g., video and voice streaming) from anywhere at any time. Nevertheless, supporting real-time multimedia streaming services remains a challenging task, mainly because these applications require high bandwidth and delay intolerance [4].…”

QoE Evaluation: The TRIANGLE Testbed Approach

“…Out of the various measurements made in the different iterations under any specific network conditions (scenario), a number of KPIs (Key Performance Indicators) are computed. The KPIs are normalized into a standard 1-to-5 scale, as typically used in MOS scores, and referred to as synthetic-MOS, a terminology that has been adopted from previous works [7,21]. The synthetic-MOS values are aggregated across network scenarios to produce a number of intermediate synthetic-MOS scores, which finally are aggregated to obtain a synthetic-MOS score in each test case (see Figure 2).…”

“…Although there are many proposals to calculate the quality of experience, in general, they are very much oriented to specific services, for example, voice [6] or video streaming [7,8]. This paper introduces a methodology to compute the QoE of any application, even if the application supports more than one service.…”