Johannes Grohmann

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	All	Since 2016
Citations	217	217
h-index	8	8
i10-index	5	5

120

20172018201920204 30 64 119

Co-authors

Simon EismannUniversität WürzburgVerified email at uni-wuerzburg.de
Samuel KounevProfessor of Computer Science, University of WürzburgVerified email at kit.edu
Nikolas HerbstUniversität WürzburgVerified email at uni-wuerzburg.de
André BauerDoctoral Researcher, Chair of Software Engineering, University of WürzburgVerified email at informatik.uni-wuerzburg.de
Erwin van EykVU AmsterdamVerified email at student.tudelft.nl
Cristina L. AbadProfessor of Computer Science, Escuela Superior Politécnica del LitoralVerified email at fiec.espol.edu.ec
Alexandru IosupProfessor of Comp.Sci., VU University Amsterdam, and Visiting Professor, TU DelftVerified email at vu.nl
Jürgen WalterDevOps at SAP Cloud PlatformVerified email at sap.com
Simon SpinnerIBMVerified email at de.ibm.com
André van HoornUniversity of Stuttgart, Institute of Software Engineering, Stuttgart, GermanyVerified email at informatik.uni-stuttgart.de
Pooyan JamshidiAssistant Professor, Computer Science, University of South CarolinaVerified email at cse.sc.edu
Felix WillneckerBMW GroupVerified email at tum.de
Weiyi ShangAssociate Professor, Concordia UniversityVerified email at encs.concordia.ca
Robert HeinrichResearcher at Karlsruhe Institute of Technology (KIT)Verified email at kit.edu
Vincenzo FermeCloud Native Tech Lead at Kiratech S.p.A. and Ph.D. Student at the Software Institute, USIVerified email at usi.ch
Cor-Paul BezemerASGAARD (Analytics of Software, Games and Repository Data) lab - University of AlbertaVerified email at ualberta.ca
Evangelos PournarasAssociate Professor, School of Computing, University of LeedsVerified email at leeds.ac.uk
Sven TomfordeUniversität Kiel, Intelligent SystemsVerified email at informatik.uni-kiel.de
Ingrid NunesUniversidade Federal do Rio Grande do Sul (UFRGS)Verified email at inf.ufrgs.br
Simos GerasimouLecturer in Computer Science, University of YorkVerified email at york.ac.uk

Johannes Grohmann

University of Würzburg

Verified email at uni-wuerzburg.de - Homepage

Performance Modeling Machine Learning Serverless Computing


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A SPEC RG cloud group's vision on the performance challenges of FaaS cloud architectures E Van Eyk, A Iosup, CL Abad, J Grohmann, S Eismann Companion of the 2018 ACM/SPEC International Conference on Performance …, 2018	39	2018
Teastore: A micro-service reference application for benchmarking, modeling and resource management research J von Kistowski, S Eismann, N Schmitt, A Bauer, J Grohmann, S Kounev 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation …, 2018	33	2018
How is performance addressed in DevOps? CP Bezemer, S Eismann, V Ferme, J Grohmann, R Heinrich, P Jamshidi, ... Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019	27*	2019
On learning in collective self-adaptive systems: state of practice and a 3D framework M D'Angelo, S Gerasimou, S Ghahremani, J Grohmann, I Nunes, ... 2019 IEEE/ACM 14th International Symposium on Software Engineering for …, 2019	10	2019
Self-tuning resource demand estimation J Grohmann, N Herbst, S Spinner, S Kounev 2017 IEEE International Conference on Autonomic Computing (ICAC), 21-26, 2017	10	2017
The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms E Van Eyk, J Grohmann, S Eismann, A Bauer, L Versluis, L Toader, ... IEEE Internet Computing 23 (6), 7-18, 2019	9	2019
Online model learning for self-aware computing infrastructures S Spinner, J Grohmann, S Eismann, S Kounev Journal of Systems and Software 147, 1-16, 2019	8	2019
The Vision of Self-Aware Performance Models J Grohmannn, S Eismann, S Kounev 2018 IEEE International Conference on Software Architecture Companion (ICSA …, 2018	8	2018
Tools for declarative performance engineering J Walter, S Eismann, J Grohmann, D Okanovic, S Kounev Companion of the 2018 ACM/SPEC International Conference on Performance …, 2018	7	2018
On the value of service demand estimation for auto-scaling A Bauer, J Grohmann, N Herbst, S Kounev International Conference on Measurement, Modelling and Evaluation of …, 2018	7	2018
Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques J Grohmann, S Eismann, S Elflein, M Mazkatli, J Kistowski, S Kounev 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …, 2019	6	2019
Black-box Learning of Parametric Dependencies for Performance Models V Ackermann, J Grohmann, S Eismann, S Kounev 13th International Workshop on Models@run.time (MRT), 2018	6	2018
Reliable Resource Demand Estimation J Grohmann Master Thesis, University of Würzburg, Am Hubland, Informatikgebäude, 97074 …, 2016	5	2016
A review of serverless use cases and their characteristics S Eismann, J Scheuner, E van Eyk, M Schwinger, J Grohmann, N Herbst, ... arXiv preprint arXiv:2008.11110, 2020	4	2020
Predicting the Costs of Serverless Workflows S Eismann, J Grohmann, E Van Eyk, N Herbst, S Kounev Proceedings of the ACM/SPEC International Conference on Performance …, 2020	4	2020
Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning J Grohmann, PK Nicholson, JO Iglesias, S Kounev, D Lugones Proceedings of the 20th International Middleware Conference, 149-162, 2019	4	2019
Integrating Statistical Response Time Models in Architectural Performance Models S Eismann, J Grohmann, J Walter, J Von Kistowski, S Kounev 2019 IEEE International Conference on Software Architecture (ICSA), 71-80, 2019	4	2019
Using Machine Learning for Recommending Service Demand Estimation Approaches-Position Paper. J Grohmann, N Herbst, S Spinner, S Kounev CLOSER 2018, 473-480, 2018	4	2018
Incremental Calibration of Architectural Performance Models with Parametric Dependencies M Mazkatli, D Monschein, J Grohmann, A Koziolek 2020 IEEE International Conference on Software Architecture (ICSA), 23-34, 2020	3	2020
To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows M Züfle, C Krupitzer, F Erhard, J Grohmann, S Kounev International Conference on Measurement, Modelling and Evaluation of …, 2020	3	2020

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