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ATZelectronics worldwide

Endurance Tests Analyzing Big Data More Agilely in Globally Distributed Tests

  • 01-10-2018
  • Development
Published in:
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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previous article Virtual ECUs Used to Develop Renault’s Engine Management Software
next article Practical Guide Migration from Legacy Codebase to Misra C 2012 Compliant
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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