[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3342280.3342307acmconferencesArticle/Chapter ViewAbstractPublication PagescommConference Proceedingsconference-collections
short-paper

QUINCE: A unified crowdsourcing-based QoE measurement platform

Published: 19 August 2019 Publication History

Abstract

Assessing QoE in situ is a challenging task. Researchers have employed crowdsourcing-based approaches to achieve scale and diversity of subjects, but not without confounding factors. Apart from subjective bias of users, environmental factors introduce variance to QoE measurements. We propose QUINCE, a QoE measurement platform, which uses a gamified approach to enable longitudinal study with repeated and varying measurements in a single platform. We leveraged existing Internet measurement data and infrastructures to integrate three different types of network and QoE measurements to yield a more comprehensive view of subjects. Our preliminarily results show that QUINCE achieves a high level of engagement from subjects and collects data that is useful for correlating network performance and YouTube video streaming QoE.

References

[1]
Amazon. 2018. Mechanical Turk. https://www.mturk.com.
[2]
Amogh Dhamdhere, David Clark, Alexander Gamero-Garrido, Matthew Luckie, Ricky Mok, Gautam Akiwate, Kabir Gogia, Vaibhav Bajpai, Alex Snoeren, and kc claffy. 2018. Inferring Persistent Interdomain Congestion. In Proc. ACM SIGCOMM.
[3]
Qingzhu Gao, Prasenjit Dey, and Parvez Ahammad. 2017. Perceived Performance of Top Retail Webpages In the Wild. ACM SIGCOMM Computer Communication Review 47, 5 (Oct 2017), 42--47.
[4]
Bruno Gardlo, Sebastian Egger, Michael Seufert, and Raimund Schatz. 2014. Crowdsourcing 2.0: Enhancing Execution Speed and Reliability of Web-based QoE Testing. In Proc. IEEE ICC.
[5]
Gokay Huz, Steven Bauer, kc claffy, and Robert Beverly. 2015. Experience in using MTurk for Network Measurement. In Proc. ACM C2B(1)D.
[6]
Matteo Varvello, Jeremy Blackburn, David Naylor, and Konstantina Papagiannaki. 2016. EYEORG: A Platform For Crowdsourcing Web Quality Of Experience Measurements. In Proc. ACM CoNEXT.
[7]
YouTube. 2018. YouTube Player API Reference for iframe Embeds. https://developers.google.com/youtube/iframe_api_reference.
[8]
Lingyan Zhang, Shangguang Wang, Fangchun Yang, and Rong N. Chang. 2017. QoECenter: A Visual Platform for QoE Evaluation of Streaming Video Services. In Proc. IEEE ICWS.

Cited By

View all
  • (2022)Long-Term Video QoE Assessment Studies: A Systematic ReviewIEEE Access10.1109/ACCESS.2022.323174710(133883-133897)Online publication date: 2022
  • (2022)Monitoring web QoE based on analysis of client-side measures and user behaviorMultimedia Tools and Applications10.1007/s11042-022-13427-582:4(6243-6269)Online publication date: 5-Aug-2022
  • (2021)Deployable Models for Approximating Web QoE Metrics From Encrypted TrafficIEEE Transactions on Network and Service Management10.1109/TNSM.2021.307367218:3(3336-3352)Online publication date: Sep-2021

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGCOMM Posters and Demos '19: Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos
August 2019
183 pages
ISBN:9781450368865
DOI:10.1145/3342280
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 August 2019

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. QoE
  2. crowdsourcing
  3. network measurement

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Conference

SIGCOMM '19
Sponsor:
SIGCOMM '19: ACM SIGCOMM 2019 Conference
August 19 - 23, 2019
Beijing, China

Acceptance Rates

SIGCOMM Posters and Demos '19 Paper Acceptance Rate 62 of 102 submissions, 61%;
Overall Acceptance Rate 92 of 158 submissions, 58%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)6
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2022)Long-Term Video QoE Assessment Studies: A Systematic ReviewIEEE Access10.1109/ACCESS.2022.323174710(133883-133897)Online publication date: 2022
  • (2022)Monitoring web QoE based on analysis of client-side measures and user behaviorMultimedia Tools and Applications10.1007/s11042-022-13427-582:4(6243-6269)Online publication date: 5-Aug-2022
  • (2021)Deployable Models for Approximating Web QoE Metrics From Encrypted TrafficIEEE Transactions on Network and Service Management10.1109/TNSM.2021.307367218:3(3336-3352)Online publication date: Sep-2021

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media