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pro vyhledávání: '"Simon Hanselmann"'
Autor:
Simon Hanselmann, Stefan Throner, Sebastian Abeck, Michael Schneider, Patrick Petrovic, Niklas Sanger, Heiko Hutter
Publikováno v:
SOSE
Complex applications consisting of many interdependent microservices require an advanced environment that allows their efficient Development and Operations (DevOps). One of the central components of a DevOps environment is a pipeline concept that sup
Autor:
Björn Hagemeier, Claudia Comito, Kai Krajsek, Achim Streit, Simon Hanselmann, Daniel Coquelin, Martin Siggel, Achim Basermann, Philipp Knechtges, Michael Tarnawa, Charlotte Debus, Markus Götz
Publikováno v:
IEEE BigData
IEEE 276-287 (2020). doi:10.1109/BigData50022.2020.9378050
2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, 2020-12-10-2020-12-13
IEEE 276-287 (2020). doi:10.1109/BigData50022.2020.9378050
2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, 2020-12-10-2020-12-13
To cope with the rapid growth in available data, the efficiency of data analysis and machine learning libraries has recently received increased attention. Although great advancements have been made in traditional array-based computations, most are li