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  1. Proceedings of the 2016 workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE '16)
  2. Towards a causal analysis of Video QoE from Network and Application QoS
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An Educated Guess on QoE in Operational Networks through Large-Scale Measurements
Impact of Access Speed on Adaptive Video Streaming Quality: A Passive Perspective
Predicting the effect of home Wi-Fi quality on Web QoE
QoE Inference Without Application Control
QoE Analysis of DASH Cross-Layer Dependencies by Extensive Network Emulation
Towards a causal analysis of Video QoE from Network and Application QoS
Measuring the Quality of Experience of Web users
BingeOn Under the Microscope: Understanding T-Mobiles Zero-Rating Implementation
Concept for Client-initiated Selection of Cloud Instances for Improving QoE of Distributed Cloud Services
Client-Driven Network-level QoE fairness for Encrypted 'DASH-S'

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Towards a causal analysis of Video QoE from Network and Application QoS

Content Provider ACM Digital Library
Author Papadopouli, Maria Teixeira, Renata Cruz Christophides, Vassilis Katsarakis, Michalis
Abstract The relationship between the user perceived Quality of Experience (QoE) with Internet applications and the Quality of Service (QoS) of the underlying network and applications is complex. Unveiling statistical relations between QoE and QoS can boost the prediction and diagnosis of QoE. In this paper, we shed light on the relationship between QoE and QoS for a popular application: YouTube video streaming. We conducted a controlled study where we asked users to rate their perceived quality of YouTube videos under different network conditions. During this experiments, we also captured network QoS and application QoS. We then analyze the resulting dataset with SES, a feature selection algorithm that identifies multiple, minimal-size, statistically-equivalent signatures with maximal predictive power for a target variable (e.g., QoE). We found that we can build optimal QoE predictors using a minimal signature of only three features from application or network QoS metrics compared to four when we consider features from both layers.
Ending Page 36
Page Count 6
Starting Page 31
File Format PDF
ISBN 9781450344258
DOI 10.1145/2940136.2940142
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-08-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Causal analysis Network qos Quality of experience Video streaming qos
Content Type Text
Resource Type Article
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