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Traffic Measurement Study on Video Streaming with the Amazon Echo Show

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Tobias HoßfeldAuthors Info & Claims

Internet-QoE'19: Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks

Pages 31 - 36

https://doi.org/10.1145/3349611.3355543

Published: 04 October 2019 Publication History

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Abstract

The Amazon Echo Show is one of the most widely used smart speakers with the ability to stream video. Due to its popularity, the traffic profiles of such devices are of interest to network operators and providers. This work presents a measurement study of the Amazon Echo Show in terms of network traffic and streaming behavior. More than 470\,hours of streaming data are collected and analyzed at network layer. Based on this, streaming quality is derived at application layer. The study quantifies the traffic and shows that streaming with the Amazon Echo Show is comparable to streaming with a native web browser, but in a more conservative way.

References

[1]

Canalys, “Google beats amazon to first place in smart speaker market,” 2018. Accessed: 2018--11--21.

Google Scholar

[2]

F. Wamser, P. Casas, M. Seufert, C. Moldovan, P. Tran-Gia, and T. Hossfeld, “Modeling the youtube stack: From packets to quality of experience,” Computer Networks, 2016.

Google Scholar

[3]

I. Orsolic, D. Pevec, M. Suznjevic, and L. Skorin-Kapov, “A machine learning approach to classifying youtube qoe based on encrypted network traffic,” Multimedia tools and applications, 2017.

Google Scholar

[4]

T. Karagkioules, D. Tsilimantos, S. Valentin, F. Wamser, B. Zeidler, M. Seufert, F. Loh, and P. Tran-Gia, “A public dataset for youtube's mobile streaming client,” in TMA Conference, 2018.

Crossref

Google Scholar

[5]

F. Bentley, C. Luvogt, M. Silverman, R. Wirasinghe, B. White, and D. Lottridge, “Understanding the long-term use of smart speaker assistants,” 2018.

Google Scholar

[6]

S. H. Hashemi, K. Williams, A. El Kholy, I. Zitouni, and P. A. Crook, “Measuring user satisfaction on smart speaker intelligent assistants using intent sensitive query embeddings,” in 27th ACM International Conference on Information and Knowledge Management, ACM, 2018.

Digital Library

Google Scholar

[7]

A. Purington, J. G. Taft, S. Sannon, N. N. Bazarova, and S. H. Taylor, “Alexa is my new bff: social roles, user satisfaction, and personification of the amazon echo,” in CHI Conference Extended Abstracts on Human Factors in Computing Systems, ACM, 2017.

Digital Library

Google Scholar

[8]

M. B. Hoy, “Alexa, siri, cortana, and more: An introduction to voice assistants,” Medical reference services quarterly, 2018.

Google Scholar

[9]

F. Ballati, F. Corno, and L. DE Russis, “hey siri, do you understand me?": Virtual assistants and dysarthria,” 2018.

Google Scholar

[10]

J. Lau, B. Zimmerman, and F. Schaub, “Alexa, are you listening?: Privacy perceptions, concerns and privacy-seeking behaviors with smart speakers,” Proc. ACM Hum.-Comput. Interact., 2018.

Digital Library

Google Scholar

[11]

H. Chung, J. Park, and S. Lee, “Digital forensic approaches for amazon alexa ecosystem,” Digital Investigation, 2017.

Digital Library

Google Scholar

[12]

A. Rao, A. Legout, Y.-s. Lim, D. Towsley, C. Barakat, and W. Dabbous, “Network characteristics of video streaming traffic,” in 7th Conference on emerging Networking Experiments and Technologies, ACM, 2011.

Digital Library

Google Scholar

Cited By

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McAvoy JCreed ACotter AMerriman LO’Reilly PDempsey MBrennan A(2022)Investor decision making: an investigation of the modality effectJournal of Decision Systems10.1080/12460125.2021.202325632:1(242-263)Online publication date: 9-Jan-2022
https://doi.org/10.1080/12460125.2021.2023256
Loh FWamser FPoignée FGeißler SHoßfeld T(2022)YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming AnalysisScientific Data10.1038/s41597-022-01418-y9:1Online publication date: 13-Jun-2022
https://doi.org/10.1038/s41597-022-01418-y
Loh FPoignée FWamser FLeidinger FHoßfeld T(2021)Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video StreamingSensors10.3390/s2112417221:12(4172)Online publication date: 17-Jun-2021
https://doi.org/10.3390/s21124172
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Index Terms

Traffic Measurement Study on Video Streaming with the Amazon Echo Show
1. General and reference
  1. Cross-computing tools and techniques
    1. Evaluation
    2. Measurement
2. Networks
  1. Network performance evaluation
    1. Network experimentation
    2. Network measurement

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Published In

Internet-QoE'19: Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks

October 2019

50 pages

ISBN:9781450369275

DOI:10.1145/3349611

General Chairs:
Pedro Casas
Austrian Institute of Technology, Austria
,
Florian Wamser
University of Würzburg, Germany
,
Fabian Bustamante
Northwestern University, USA
,
David Choffnes
Northeastern University, USA

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 ACM 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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 October 2019

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MobiCom '19

Sponsor:

SIGMOBILE

MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking

October 21, 2019

Los Cabos, Mexico

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Overall Acceptance Rate 10 of 21 submissions, 48%

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McAvoy JCreed ACotter AMerriman LO’Reilly PDempsey MBrennan A(2022)Investor decision making: an investigation of the modality effectJournal of Decision Systems10.1080/12460125.2021.202325632:1(242-263)Online publication date: 9-Jan-2022
https://doi.org/10.1080/12460125.2021.2023256
Loh FWamser FPoignée FGeißler SHoßfeld T(2022)YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming AnalysisScientific Data10.1038/s41597-022-01418-y9:1Online publication date: 13-Jun-2022
https://doi.org/10.1038/s41597-022-01418-y
Loh FPoignée FWamser FLeidinger FHoßfeld T(2021)Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video StreamingSensors10.3390/s2112417221:12(4172)Online publication date: 17-Jun-2021
https://doi.org/10.3390/s21124172
Loh FGeisler SSchaible FHosfeld T(2021)Talk to Me: Investigating the Traffic Characteristics of Amazon Echo Dot and Google Home2020 IEEE Eighth International Conference on Communications and Electronics (ICCE)10.1109/ICCE48956.2021.9352103(521-526)Online publication date: 13-Jan-2021
https://doi.org/10.1109/ICCE48956.2021.9352103

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