Preliminary big data in a 5G test network

Teemu Kanstrén, Jussi Liikka, Jukka Mäkelä, Markus Luoto, Jarmo Prokkola

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)

Abstract

The Finnish 5G test network (5GTN) is built to support development and analysis of 5G technologies and new services on top of them. 5GTN includes a holistic monitoring and test generation architecture, enabling generation and collection of diverse test and datasets, analyzing the results and using these as basis for developing new technologies, algorithms, services, and optimizations. Both the combined network and service parameters space, as well as data volume, provide us with several big data problems. In this paper, we describe the overall system architecture, the types of data we collect, the initial analysis we have performed on the data, and what we have learned so far. The network is constantly evolving with new services integrated and tested, and new big data analytics being applied as we learn from our tests. As such, these are preliminary results for ongoing work.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Big Data
EditorsRonay Ak, George Karypis, Yinglong Xia, Xiaohua Tony Hu, Philip S. Yu, James Joshi, Lyle Ungar, Ling Liu, Aki-Hiro Sato, Toyotaro Suzumura, Sudarsan Rachuri, Rama Govindaraju, Weijia Xu
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages2722-2727
Number of pages6
ISBN (Electronic)978-1-4673-9005-7
ISBN (Print)978-1-4673-9006-4
DOIs
Publication statusPublished - 1 Jan 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Big Data, Big Data 2016 - Washington, United States
Duration: 5 Dec 20168 Dec 2016

Conference

ConferenceIEEE International Conference on Big Data, Big Data 2016
CountryUnited States
CityWashington
Period5/12/168/12/16

Fingerprint

Monitoring
Big data

Keywords

  • 5G mobile communication systems
  • network architecture
  • analytics
  • data analytics
  • data problems
  • service parameters
  • system architectures
  • test generations
  • test network
  • testing technology
  • 5G
  • testing technologies
  • big data

Cite this

Kanstrén, T., Liikka, J., Mäkelä, J., Luoto, M., & Prokkola, J. (2016). Preliminary big data in a 5G test network. In R. Ak, G. Karypis, Y. Xia, X. T. Hu, P. S. Yu, J. Joshi, L. Ungar, L. Liu, A-H. Sato, T. Suzumura, S. Rachuri, R. Govindaraju, ... W. Xu (Eds.), 2016 IEEE International Conference on Big Data (pp. 2722-2727). [7840918] Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/BigData.2016.7840918
Kanstrén, Teemu ; Liikka, Jussi ; Mäkelä, Jukka ; Luoto, Markus ; Prokkola, Jarmo. / Preliminary big data in a 5G test network. 2016 IEEE International Conference on Big Data. editor / Ronay Ak ; George Karypis ; Yinglong Xia ; Xiaohua Tony Hu ; Philip S. Yu ; James Joshi ; Lyle Ungar ; Ling Liu ; Aki-Hiro Sato ; Toyotaro Suzumura ; Sudarsan Rachuri ; Rama Govindaraju ; Weijia Xu. Institute of Electrical and Electronic Engineers IEEE, 2016. pp. 2722-2727
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author = "Teemu Kanstr{\'e}n and Jussi Liikka and Jukka M{\"a}kel{\"a} and Markus Luoto and Jarmo Prokkola",
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Kanstrén, T, Liikka, J, Mäkelä, J, Luoto, M & Prokkola, J 2016, Preliminary big data in a 5G test network. in R Ak, G Karypis, Y Xia, XT Hu, PS Yu, J Joshi, L Ungar, L Liu, A-H Sato, T Suzumura, S Rachuri, R Govindaraju & W Xu (eds), 2016 IEEE International Conference on Big Data., 7840918, Institute of Electrical and Electronic Engineers IEEE, pp. 2722-2727, IEEE International Conference on Big Data, Big Data 2016, Washington, United States, 5/12/16. https://doi.org/10.1109/BigData.2016.7840918

Preliminary big data in a 5G test network. / Kanstrén, Teemu; Liikka, Jussi; Mäkelä, Jukka; Luoto, Markus; Prokkola, Jarmo.

2016 IEEE International Conference on Big Data. ed. / Ronay Ak; George Karypis; Yinglong Xia; Xiaohua Tony Hu; Philip S. Yu; James Joshi; Lyle Ungar; Ling Liu; Aki-Hiro Sato; Toyotaro Suzumura; Sudarsan Rachuri; Rama Govindaraju; Weijia Xu. Institute of Electrical and Electronic Engineers IEEE, 2016. p. 2722-2727 7840918.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Luoto, Markus

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N2 - The Finnish 5G test network (5GTN) is built to support development and analysis of 5G technologies and new services on top of them. 5GTN includes a holistic monitoring and test generation architecture, enabling generation and collection of diverse test and datasets, analyzing the results and using these as basis for developing new technologies, algorithms, services, and optimizations. Both the combined network and service parameters space, as well as data volume, provide us with several big data problems. In this paper, we describe the overall system architecture, the types of data we collect, the initial analysis we have performed on the data, and what we have learned so far. The network is constantly evolving with new services integrated and tested, and new big data analytics being applied as we learn from our tests. As such, these are preliminary results for ongoing work.

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A2 - Ak, Ronay

A2 - Karypis, George

A2 - Xia, Yinglong

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A2 - Joshi, James

A2 - Ungar, Lyle

A2 - Liu, Ling

A2 - Sato, Aki-Hiro

A2 - Suzumura, Toyotaro

A2 - Rachuri, Sudarsan

A2 - Govindaraju, Rama

A2 - Xu, Weijia

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Kanstrén T, Liikka J, Mäkelä J, Luoto M, Prokkola J. Preliminary big data in a 5G test network. In Ak R, Karypis G, Xia Y, Hu XT, Yu PS, Joshi J, Ungar L, Liu L, Sato A-H, Suzumura T, Rachuri S, Govindaraju R, Xu W, editors, 2016 IEEE International Conference on Big Data. Institute of Electrical and Electronic Engineers IEEE. 2016. p. 2722-2727. 7840918 https://doi.org/10.1109/BigData.2016.7840918