Johannes Grohmann

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Samuel KounevProfessor of Computer Science, University of WürzburgDirección de correo verificada de uni-wuerzburg.de
Simon EismannUniversität WürzburgDirección de correo verificada de uni-wuerzburg.de
Nikolas HerbstUniversität WürzburgDirección de correo verificada de uni-wuerzburg.de
André BauerPostdoctoral scholar, University of ChicagoDirección de correo verificada de uchicago.edu
Cristina L. AbadProfessor of Computer Science, Escuela Superior Politécnica del LitoralDirección de correo verificada de fiec.espol.edu.ec
Erwin van EykVU AmsterdamDirección de correo verificada de student.tudelft.nl
Norbert SchmittDoctoral Researcher, Universität WürzburgDirección de correo verificada de uni-wuerzburg.de
Alexandru IosupProfessor of Comp.Sci., VU University AmsterdamDirección de correo verificada de vu.nl
Joel ScheunerSoftware Engineer | LocalStackDirección de correo verificada de localstack.cloud
Marwin ZüfleDoctoral Researcher, Chair of Software Engineering, University of WuerzburgDirección de correo verificada de uni-wuerzburg.de
Jürgen WalterDevOps at SAP Cloud PlatformDirección de correo verificada de sap.com
Simon SpinnerIBMDirección de correo verificada de de.ibm.com
Stefan HerrnlebenUniversity of WuerzburgDirección de correo verificada de informatik.uni-wuerzburg.de
Evangelos PournarasUKRI Future Leaders Fellow, Professor of Trustworthy Distributed Intelligence, University of LeedsDirección de correo verificada de leeds.ac.uk
Sven TomfordeUniversität Kiel, Intelligent SystemsDirección de correo verificada de informatik.uni-kiel.de
Dr. Ingrid NunesUtimacoDirección de correo verificada de utimaco.com
Mirko D'AngeloEricsson ResearchDirección de correo verificada de ericsson.com
Simos GerasimouAssociate Professor (Senior Lecturer) in Computer Science, University of YorkDirección de correo verificada de york.ac.uk
Christian KrupitzerTenure Track Professor for Food Informatics, Universität Hohenheim, GermanyDirección de correo verificada de uni-hohenheim.de
Manar MazkatliResearcher at Karlsruhe Institute of TechnologyDirección de correo verificada de kit.edu

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Johannes Grohmann

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Performance Modeling Machine Learning Serverless Computing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	155*	2018
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	131	2020
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	100	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	84	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	73	2020
The state of serverless applications: Collection, characterization, and community consensus S Eismann, J Scheuner, E Van Eyk, M Schwinger, J Grohmann, N Herbst, ... IEEE Transactions on Software Engineering 48 (10), 4152-4166, 2021	70	2021
Sizeless: Predicting the optimal size of serverless functions S Eismann, L Bui, J Grohmann, C Abad, N Herbst, S Kounev Proceedings of the 22nd International Middleware Conference, 248-259, 2021	63	2021
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	60	2019
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	56	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	54	2019
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	35	2019
On the value of service demand estimation for auto-scaling A Bauer, J Grohmann, N Herbst, S Kounev Measurement, Modelling and Evaluation of Computing Systems: 19th …, 2018	28	2018
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	21	2020
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	18	2019
Libra: A benchmark for time series forecasting methods A Bauer, M Züfle, S Eismann, J Grohmann, N Herbst, S Kounev Proceedings of the ACM/SPEC International Conference on Performance …, 2021	16	2021
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	16	2020
Why is it not solved yet? challenges for production-ready autoscaling M Straesser, J Grohmann, J von Kistowski, S Eismann, A Bauer, ... Proceedings of the 2022 ACM/SPEC on International Conference on Performance …, 2022	14	2022
SARDE: a framework for continuous and self-adaptive resource demand estimation J Grohmann, S Eismann, A Bauer, S Spinner, J Blum, N Herbst, S Kounev ACM Transactions on Autonomous and Adaptive Systems (TAAS) 15 (2), 1-31, 2021	14	2021
Suanming: Explainable prediction of performance degradations in microservice applications J Grohmann, M Straesser, A Chalbani, S Eismann, Y Arian, N Herbst, ... Proceedings of the ACM/SPEC International Conference on Performance …, 2021	14	2021
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	14	2019

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