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Beauty and the Beast : A Case Study on Performance Prototyping of Data-Intensive Containerized Cloud Applications

F. Klinaku, M. Rapp, J. Henss, and S. Rhode. ICPE '22: Companion of the 2022 ACM/SPEC International Conference on Performance Engineering, page 53-60. Association for Computing Machinery, (2022)
DOI: 10.1145/3491204.3527482

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Prof. Dr. -Ing. Karl Stephan University of Stuttgart

Dr. -Ing. Stephan Heimerl University of Stuttgart

Silke Stephan University of Stuttgart

Stephan Renninger University of Stuttgart

Stephan Bachmann University of Stuttgart

Other publications of authors with the same name

Tire force estimation for a passenger vehicle with the Unscented Kalman Filter.H. Hamann, J. Hedrick, S. Rhode, and F. Gauterin. Intelligent Vehicles Symposium, page 814-819. IEEE, (2014)Online estimation of vehicle driving resistance parameters with recursive least squares and recursive total least squares.S. Rhode, and F. Gauterin. Intelligent Vehicles Symposium, page 269-276. IEEE, (2013)A Recursive Restricted Total Least-Squares Algorithm.S. Rhode, K. Usevich, I. Markovsky, and F. Gauterin. IEEE Trans. Signal Process., 62 (21): 5652-5662 (2014)Vehicle mass estimation using a total least-squares approach.S. Rhode, and F. Gauterin. ITSC, page 1584-1589. IEEE, (2012)Power prediction for electric vehicles using online machine learning.S. Rhode, S. Vaerenbergh, and M. Pfriem. Eng. Appl. of AI, (2020)Beauty and the Beast : A Case Study on Performance Prototyping of Data-Intensive Containerized Cloud ApplicationsF. Klinaku, M. Rapp, J. Henss, and S. Rhode. ICPE '22: Companion of the 2022 ACM/SPEC International Conference on Performance Engineering, page 53-60. Association for Computing Machinery, (2022)