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SGF: a crowdsourced large-scale event dataset

Authors:

Jens Heuschkel,

Alexander FrömmgenAuthors Info & Claims

MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference

Pages 351 - 356

https://doi.org/10.1145/3204949.3208120

Published: 12 June 2018 Publication History

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Abstract

This paper presents a crowdsourced dataset of a large-scale event with more than 1000 measuring participants. The detailed dataset consists of various location data and network measurements of all national carrier collected during a four-day event. The concentrated samples for this short time period enable detailed analysis, e.g., by correlating movement patterns and experienced network conditions.

References

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Index Terms

SGF: a crowdsourced large-scale event dataset
1. Networks
  1. Network performance evaluation
    1. Network measurement

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Information & Contributors

Information

Published In

MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference

June 2018

604 pages

ISBN:9781450351928

DOI:10.1145/3204949

General Chair:
Pablo Cesar
Centrum Wiskunde & Informatica, The Netherlands
,
Program Chairs:
Michael Zink
University of Massachusetts Amherst
,
Niall Murray
Athlone Institute of Technology, Ireland

This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0 License.

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2018

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Research-article

Funding Sources

German Research Foundation (DFG)

Conference

MMSys '18

Sponsor:

SIGMM

MMSys '18: 9th ACM Multimedia Systems Conference

June 12 - 15, 2018

Amsterdam, Netherlands

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Overall Acceptance Rate 176 of 530 submissions, 33%

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Fashion-focused creative commons social dataset

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Collecting and annotating the large continuous action dataset