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Johannes Kroß
Johannes Kroß
fortiss, Research Institute of the Free State of Bavaria
Bestätigte E-Mail-Adresse bei fortiss.org
Titel
Zitiert von
Zitiert von
Jahr
Performance-oriented DevOps: A research agenda
A Brunnert, A van Hoorn, F Willnecker, A Danciu, W Hasselbring, C Heger, ...
arXiv preprint arXiv:1508.04752, 2015
1522015
Stream processing on demand for lambda architectures
J Kroß, A Brunnert, C Prehofer, TA Runkler, H Krcmar
Computer Performance Engineering: 12th European Workshop, EPEW 2015, Madrid …, 2015
322015
Modeling and simulating Apache Spark streaming applications
J Kroß, H Krcmar
Softwaretechnik-Trends Band 36, Heft 4, 2016
242016
Model-based Performance Evaluation of Batch and Stream Applications for Big Data
J Kroß, H Krcmar
2017 IEEE 25th International Symposium on Modeling, Analysis and Simulation …, 2017
232017
Modeling big data systems by extending the palladio component model
J Kroß, A Brunnert, H Krcmar
Softwaretechnik-Trends Band 35, Heft 3, 2015
142015
PET: continuous performance evaluation tool
J Kroß, F Willnecker, T Zwickl, H Krcmar
Proceedings of the 2nd International Workshop on Quality-Aware DevOps, 42-43, 2016
122016
PerTract: Model Extraction and Specification of Big Data Systems for Performance Prediction by the Example of Apache Spark and Hadoop
J Kroß, H Krcmar
Big Data and Cognitive Computing 3 (3), 2019
102019
Landscaping Performance Research at the ICPE and its Predecessors: A Systematic Literature Review
A Danciu, J Kroß, A Brunnert, F Willnecker, C Vögele, A Kapadia, ...
Proceedings of the 6th ACM/SPEC International Conference on Performance …, 2015
62015
Model-based performance evaluation of large-scale smart metering architectures
J Kroß, A Brunnert, C Prehofer, TA Runkler, H Krcmar
Proceedings of the 4th International Workshop on Large-Scale Testing, 9-12, 2015
52015
Towards a model-driven performance prediction approach for internet of things architectures
J Kroß, S Voss, H Krcmar
Open Journal of Internet Of Things (OJIOT) 3 (1), 136-141, 2017
42017
Cloudburst-simulating workload for IaaS clouds
J Kroß, A Wolke
2014 IEEE 7th International Conference on Cloud Computing, 841-848, 2014
22014
Performance and the Pipeline
F Willnecker, J Kroß, A van Hoorn
12021
Center for Code Excellence Trends–Eine Plattform für Trends in Softwaretechnologien
J Kroß, P Bludau, A Pretschner
Informatik Spektrum 43, 417-424, 2020
12020
Automatic Modeling and Simulating the Performance of Big Data Applications
J Kroß
Technische Universität München, 2020
2020
Center for Code Excellence
J Kroß, P Bludau, A Pretschner
Gesellschaft für Informatik eV, 2020
2020
Code Excellence: Herausforderungen und Chancen für Bayern
J Kroß, P Bludau, WA Pretschner
fortiss, 2019
2019
Performance-oriented DevOps: A Research Agenda.[Preprint]
A Brunnert, A Hoorn, F Willnecker, A Danciu, W Hasselbring, C Heger, ...
arXiv: Computing Research Repository (CoRR), 1508, 2015
2015
LTB 2017 Chairs’ Welcome
J Kroß, ZMJ Jiang, CP Bezemer
General Topics of Inter
A Brunnert, A van Hoorn, F Willnecker, A Danciu, W Hasselbring, C Heger, ...
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