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  1. Proceedings of the first ACM SIGCOMM workshop on Measurements up the stack (W-MUST '11)
  2. Understanding end-user perception of network problems
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The network from above and below
Large-scale app-based reporting of customer problems in cellular networks: potential and limitations
Inferring the QoE of HTTP video streaming from user-viewing activities
Identifying performance bottlenecks in CDNs through TCP-level monitoring
Studying the experience of mobile applications used in different contexts of daily life
Vienna surfing: assessing mobile broadband quality in the field
Performance of networked applications: the challenges in capturing the user's perception
Measuring and predicting web login safety
Experiences from Netalyzr with engaging users in end-system measurement
Understanding end-user perception of network problems
Crowdsourcing ISP characterization to the network edge

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Understanding end-user perception of network problems

Content Provider ACM Digital Library
Author Mondal, Amit Dinda, Peter A. Kuzmanovic, Aleksandar Potharaju, Rahul Miller, J. Scott
Abstract It is widely assumed that certain network characteristics cause end-user irritation with network performance. These assumptions then drive the selection of quality of service parameters or the goals of adaptive systems. We have developed a methodology and toolchain, SoylentLogger, that employs user studies to empirically investigate such assumptions. SoylentLogger collects client-centric network measurement data that is labeled by the end-user as being associated with irritation at perceived network performance (or not). The data collection and labeling occurs in real-time as the user normally uses the network. We conducted a study that tracked 32 ordinary users over a period of 3 weeks and then used that data to test common assumptions about network sources of user irritation.
Starting Page 43
Ending Page 48
Page Count 6
File Format PDF
ISBN 9781450308007
DOI 10.1145/2018602.2018613
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-08-19
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Empathic systems User studies Network performance
Content Type Text
Resource Type Article
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