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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

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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[1]

Abthoff, T.: Big Data Technologies in Automotive Development. In: ATZelektronik worldwide 11 (2016), No. 5, pp. 42–47 CrossRef

[2]

http://hadoop.apache.org/, access: August 14, 2018

[3]

https://spark.apache.org/, access: August 14, 2018

[4]

Abthoff, T.: Interactive Big Data Analytics in Engine Development. In: MTZ worldwide 77 (2016), No. 12, pp. 56–61 CrossRef

[5]

Pawlik, A. et.al.: Big data for assisted and autonomous driving. Proceedings, 18 ^th International Stuttgart Symposium, 2018

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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