Johannes Grohmann

Chair of Software Engineering (Informatik II)
Department of Computer Science
University of Würzburg

Am Hubland, 97074 Würzburg

Informatikgebäude, 1.OG, Room A102

Phone: +49 (931) 31 86875

johannes.grohmann@uni-wuerzburg.de
ORCID: 0000-0001-7960-0823
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Research Interests

Self-Aware Computing & Machine Learning
Performance Modeling of Software Systems
Failure Prediction and Analysis in Microservice Architectures
Design and Evaluation of Serverless Applications

Selected Publications:

Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. Grohmann, Johannes; Seybold, Daniel; Eismann, Simon; Leznik, Mark; Kounev, Samuel; Domaschka, Jörg; in 2020 IEEE 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2020).

[ Abstract ] [ BibTeX ] [ Download ]

Correctly configuring a distributed database management system (DBMS) deployed in a cloud environment for maximizing performance poses many challenges to operators. Even if the entire configuration spectrum could be measured directly, which is often infeasible due to the multitude of parameters, single measurements are subject to random variations and need to be repeated multiple times. In this work, we propose Baloo, a framework for systematically measuring and modeling different performance-relevant configurations of distributed DBMS in cloud environments. Baloo dynamically estimates the required number of configurations, as well as the number of required measurement repetitions per configuration based on a desired target accuracy. We evaluate Baloo based on a data set consisting of 900 DBMS configuration measurements conducted in our private cloud setup. Our evaluation shows that the highly configurable framework is able to achieve a prediction error of up to 12% while saving 80% of the measurement effort. We also publish all code and the acquired data set to foster future research.

@inproceedings{GrSeEiLeKoDo2020-MASCOTS-DBMSPerformance, abstract = {Correctly configuring a distributed database management system (DBMS) deployed in a cloud environment for maximizing performance poses many challenges to operators. Even if the entire configuration spectrum could be measured directly, which is often infeasible due to the multitude of parameters, single measurements are subject to random variations and need to be repeated multiple times. In this work, we propose Baloo, a framework for systematically measuring and modeling different performance-relevant configurations of distributed DBMS in cloud environments. Baloo dynamically estimates the required number of configurations, as well as the number of required measurement repetitions per configuration based on a desired target accuracy. We evaluate Baloo based on a data set consisting of 900 DBMS configuration measurements conducted in our private cloud setup. Our evaluation shows that the highly configurable framework is able to achieve a prediction error of up to 12% while saving 80% of the measurement effort. We also publish all code and the acquired data set to foster future research.}, author = {Grohmann, Johannes and Seybold, Daniel and Eismann, Simon and Leznik, Mark and Kounev, Samuel and Domaschka, Jörg}, booktitle = {2020 IEEE 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)}, keywords = {automated_model_learning descartes myown performance performance_modeling prediction publication_type_fullpaper select statistical_estimation_and_machine_learning}, month = {November}, note = {Acceptance Rate: 27%}, series = {MASCOTS '20}, title = {Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS}, year = 2020 }
Serverless Applications:Why, When, and How? Eismann, Simon; Joel, Scheuner; van Eyk, Erwin; Schwinger, Maximilian; Grohmann, Johannes; Herbst, Nikolas; Abad, Cristina; Iosup, Alexandru; in IEEE Software (2020).

[ Abstract ] [ BibTeX ] [ URL ] [ Download ]

Serverless computing shows good promise for efficiency and ease-of-use. Yet, there are only a few, scattered and sometimes conflicting reports on questions such as Why do so many companies adopt serverless?, When are serverless applications well suited?, and How are serverless applications currently implemented? To address these questions, we analyze 89 serverless applications from open-source projects, industrial sources, academic literature, and scientific computing—the most extensive study to date.

@article{eismann2020serverless, abstract = {Serverless computing shows good promise for efficiency and ease-of-use. Yet, there are only a few, scattered and sometimes conflicting reports on questions such as Why do so many companies adopt serverless?, When are serverless applications well suited?, and How are serverless applications currently implemented? To address these questions, we analyze 89 serverless applications from open-source projects, industrial sources, academic literature, and scientific computing—the most extensive study to date.}, author = {Eismann, Simon and Joel, Scheuner and van Eyk, Erwin and Schwinger, Maximilian and Grohmann, Johannes and Herbst, Nikolas and Abad, Cristina and Iosup, Alexandru}, journal = {IEEE Software}, keywords = {descartes myown publication_type_journal select}, title = {Serverless Applications:Why, When, and How?}, year = 2020 }

List of all publications

Community Activities

Member SPEC Research Group "DevOps Performance" since Januar 2017
Member SPEC Research Group "Cloud" since April 2018
PC Member Symposium on Software Performance (SSP 2019, 2020)
PC Member Poster Track International Conference on Performance Engineering (ICPE 2018, 2020)
Election Officer SPEC Research Group 2018, 2019
Participation Software Engineering for Intelligent and Autonomous Systems (SEfIAS) (GI-Dagstuhl Seminar 18343, 2018)

Teaching

Lecture and exercise coordination Softwaretechnik (Software engineering)
Student supervision Softwarepraktikum (Practical course on software engineering)
Student supervision Softwareengineering Seminar (Seminar on software engineering)
Supervision of students Bachelor's and Master's thesis

Curriculum Vitae

Occupation:

Sep 2017 - Nov 2017	Research Intern at Nokia Bell Labs, Dublin, Ireland
since Janaury 2017	Research Assistant at the Chair of Software-Engineering (Computer Science II) headed by Prof. Samuel Kounev, University of Würzburg, Germany
Dec 2012 - Mar 2016	Multiple Occupations as Student Researcher at the Institute of Computer Science, the Institute of Mathematics, and the Service Center for Innovation in Teaching and Learning, University of Würzburg
Feb 2014 - Mar 2014	Bachelor's degree candidate at PASS Consulting Group, Aschaffenburg, Germany
Aug 2013 - Sep 2013	Internship at PASS Consulting Group, Aschaffenburg, Germany

Education:

Jul 2014 - Oct 2016	Master of Science in Computer Science at the University of Würzburg
Jan 2015 - Jun 2015	Semester Abroad at the Blekinge Institute of Technology (BTH) in Karlskrona, Sweden
Oct 2011 - Jun 2014	Bachelor of Science in Computer Science at the University of Würzburg

Research Interests

Selected Publications:

List of all publications

Community Activities

Teaching

Curriculum Vitae

Occupation:

Education:

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