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ATZelectronics worldwide
Published in: ATZelectronics worldwide 5/2018

01-10-2018 | Development

Endurance Tests Analyzing Big Data More Agilely in Globally Distributed Tests

Authors: Dr. Andreas Pawlik, Thomas Bonfer, Ludwig Oser

Published in: ATZelectronics worldwide | Issue 5/2018

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Excerpt

With more and more sensor data, test vehicles are reaching the bandwidth limit of the Ethernet infrastructure used. It is not realistic to move the huge amounts of data to a central cluster first and then start the analysis. NorCom demonstrates how the so-called distributed query engine and data lifecycle management — based on the in-house DaSense platform — can be used to perform high-performance analyses on globally distributed data sets. …
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Literature
[1]
Abthoff, T.: Big Data Technologies in Automotive Development. In: ATZelektronik worldwide 11 (2016), No. 5, pp. 42–47CrossRef
[2]
[3]
[4]
Abthoff, T.: Interactive Big Data Analytics in Engine Development. In: MTZ worldwide 77 (2016), No. 12, pp. 56–61CrossRef
[5]
Pawlik, A. et.al.: Big data for assisted and autonomous driving. Proceedings, 18th International Stuttgart Symposium, 2018
Metadata
Title
Endurance Tests Analyzing Big Data More Agilely in Globally Distributed Tests
Authors
Dr. Andreas Pawlik
Thomas Bonfer
Ludwig Oser
Publication date
01-10-2018
Publisher
Springer Fachmedien Wiesbaden
Published in
ATZelectronics worldwide / Issue 5/2018
Electronic ISSN: 2524-8804
DOI
https://doi.org/10.1007/s38314-018-0061-6

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