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  1. Proceedings of the 2016 workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE '16)
  2. Measuring the Quality of Experience of Web users
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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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Measuring the Quality of Experience of Web users

Content Provider ACM Digital Library
Author De Cicco, Luca Bocchi, Enrico Rossi, Dario
Abstract Measuring quality of Web users experience (WebQoE) faces the following trade-off. On the one hand, current practice is to resort to metrics, such as the document completion time (onLoad), that are simple to measure though knowingly inaccurate. On the other hand, there are metrics, like Google’s SpeedIndex, that are better correlated with the actual user experience, but are quite complex to evaluate and, as such, relegated to lab experiments. In this paper, we first provide a comprehensive state of the art on the metrics and tools available for WebQoE assessment. We then apply these metrics to a representative dataset (the Alexa top-100 webpages) to better illustrate their similarities, differences, advantages and limitations. We next introduce novel metrics, inspired by Google’s SpeedIndex, that (i) offer significant advantage in terms of computational complexity, (ii) while maintaining a high correlation with the SpeedIndex at the same time. These properties makes our proposed metrics highly relevant and of practical use.
Ending Page 42
Page Count 6
Starting Page 37
File Format PDF
ISBN 9781450344258
DOI 10.1145/2940136.2940138
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-08-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Byteindex Mos Objectindex Above-the-fold Dom Speedindex Onload Ttfb Quality of experience Ttfp
Content Type Text
Resource Type Article
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