Johannes Grohmann

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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 BauerSenior Researcher, Chair of Software Engineering, University of WürzburgVerified email at informatik.uni-wuerzburg.de
Norbert SchmittDoctoral Researcher, Universität WürzburgVerified email at 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
Marwin ZüfleDoctoral Researcher, Chair of Software Engineering, University of WuerzburgVerified email at uni-wuerzburg.de
Joel ScheunerPhD Student, Chalmers | Gothenburg UniversityVerified email at chalmers.se
Simon SpinnerIBMVerified email at de.ibm.com
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 (Assistant Professor) in Computer Science, University of YorkVerified email at york.ac.uk
Manar MazkatliResearcher at Karlsruhe Institute of TechnologyVerified email at kit.edu
Sona GhahremaniResearcher and PhD candidate at Hasso Plattner InstitutVerified email at hpi.de
Mirko D'AngeloEricsson ResearchVerified email at ericsson.com
André van HoornUniversity of Hamburg, GermanyVerified email at uni-hamburg.de

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	61	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	52	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	39	2019
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	26	2019
Serverless applications: Why, when, and how? S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ... IEEE Software 38 (1), 32-39, 2020	24	2020
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	22	2019
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	21	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	14	2020
Self-tuning resource demand estimation J Grohmann, N Herbst, S Spinner, S Kounev 2017 IEEE International Conference on Autonomic Computing (ICAC), 21-26, 2017	13	2017
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	11	2018
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	10	2019
An automated forecasting framework based on method recommendation for seasonal time series A Bauer, M Züfle, J Grohmann, N Schmitt, N Herbst, S Kounev Proceedings of the ACM/SPEC International Conference on Performance …, 2020	9	2020
The vision of self-aware performance models J Grohmannn, S Eismann, S Kounev 2018 IEEE International Conference on Software Architecture Companion (ICSA …, 2018	9	2018
Model-Based Performance Predictions for SDN-Based Networks: A Case Study S Herrnleben, P Rygielski, J Grohmann, S Eismann, T Hoßfeld, S Kounev International Conference on Measurement, Modelling and Evaluation of …, 2020	8	2020
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	8	2019
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	8	2018
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	8	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	7	2020
To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows. M Züfle, C Krupitzer, F Erhard, J Grohmann, S Kounev MMB, 19-36, 2020	6	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	6	2019

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