TU Dresden
  • Research Assistent, TU Chemenitz
  • Prof. Dr. Steffen Becker
  • Faculty of Computer Science
  • Software Engineering Chair
  • June 2015 - September 2017

Uni Stuttgart
  • Research Assistent, University of Stuttgart
  • Prof. Dr. Steffen Becker
  • Institute of Software Engineering
  • Reliable Software Systems Group
  • October 2017 - December 2020

Skills

Language Skills

German
95%
English
85%

Economics

Management
85%
Controlling
80%

Business Informatics

Enterprise Modeling
90%
Requirements Engineering
90%
Data Warehousing
85%
System Design
90%
Data Mining
75%
Knowledge Management
75%

Informatics

Software Engenieering
90%

Performance Prediction
85%
Programming
85%

Model-driven Software Development
90%
Quantitative Analysis of Software Design
90%
Webdesign
75%

Other

Teamwork
100%
Self-guided Learning
100%

Publications

Publications

2020

[1]
Vijayshree, V., Frank, M., & Becker, S. (2020). Extended Abstract of Performance Analysis and Prediction of Model Transformation. Companion of the ACM/SPEC International Conference on Performance Engineering, 8--9.
[2] Frank, M., Hakamian, A., & Becker, S. (2020). Defining a Formal Semantic for Parallel Patterns in the Palladio Component Model Using Hierarchical Queuing Petri Nets. In H. Muccini, P. Avgeriou, B. Buhnova, J. Camara, M. Caporuscio, M. Franzago, A. Koziolek, P. Scandurra, C. Trubiani, D. Weyns, & U. Zdun (Hrsg.), Software Architecture (S. 381--394). Springer International Publishing. [bib]
2019

[1]
Gruber, P., & Frank, M. (2019). Modelling and Predicting Memory Behaviour in Parallel Systems with Network Links---Palladio-based Experiment Report. Proceedings of the Symposium on Software Performance 2019, 4-6 November 2019, Würzburg, Germany.
[bib] - [Link]
[2] Frank, M., Becker, S., Kaplan, A., & Koziolek, A. (2019). Performance-influencing Factors for Parallel and Algorithmic Problems in Multicore Environments: Work-In-Progress Paper. Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, 21--24. ACM. [bib]
[3]
Frank, M., Klinaku, F., Hilbrich, M., & Becker, S. (2019). Towards a parallel template catalogue for software performance predictions. Proceedings of the 13th European Conference on Software Architecture,              ECSA 2019, Paris, France, September 9-13, 2019, Companion Proceedings              (Proceedings Volume 2), 18--21. https://doi.org/10.1145/3344948.3344958
[bib] - [Link]
[4]
Klinaku, F., Hakamian, A., & Frank, M. (2019). A Process Model for Elastic and Resilient IoT Applications with Emergent                Behaviors. IEEE International Conference on Software Architecture Companion,              ICSA Companion 2019, Hamburg, Germany, March 25-26, 2019, 27--30. https://doi.org/10.1109/ICSA-C.2019.00012
[bib] - [Link]
[5]
Klinaku, F., Zigldrum, M., Frank, M., & Becker, S. (2019). The Elastic Processing of Data Streams in Cloud Environments: A                Systematic Mapping Study. Proceedings of the 9th International Conference on Cloud Computing              and Services Science, CLOSER 2019, Heraklion, Crete, Greece, May              2-4, 2019, 316--323. https://doi.org/10.5220/0007708503160323
[bib] - [Link]
2018

[1] Markus Frank and Alireza Hakamian. An Architectural Template for Parallel Loops and Sections. In Proceedings of the Symposium on Software Performance 2018, 7-9 November 2018, Hildesheim, Germany, 9th Symposium on Software Performance 2018, Hildesheim, November 2018. [ bib | .pdf ]
[2] Markus Frank, Floriment Klinaku, and Steffen Becker. Challenges in multicore performance predictions. In Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE '18, pages 47–48, New York, NY, USA, 2018. ACM. [ bib | DOI | http ]
[3] Marcus Hilbrich and Markus Frank. Abstract fog in the bottle-trends of computing in history and future. In 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pages 519–522. IEEE, 2018. [ bib ]
[4] Marcus Hilbrich and Markus Frank. HPC and SPE Need to Learn from Each Other-Knowledgetransformation Patterns. In The 18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computations, SCAN2018 Book of Abstracts, pages 58–59, Tokyo, Japan, 2018. [ bib ]
[5] Floriment Klinaku, Markus Frank, and Steffen Becker. Caus: An elasticity controller for a containerized microservice. In Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, pages 93–98. ACM, 2018. [ bib ]
2017

[1] Frank, M., Hilbrich, M., Lehrig, S. & Becker, S. Parallelization, Modeling, and Performance Prediction in the Multi-/Many Core Area: A Systematic Literature Review. In Proceedings of the 7th IEEE International Symposium on Cloud and Service Computing, 22-25 November 2017, Kanazawa, Japan, 2017.
[BibTeX]
[2] Hilbrich, M. & Frank, M. Enforcing Security and Privacy via a Cooperation of Security Experts and Software Engineers-a Model-based Vision. In Proceedings of the 7th IEEE International Symposium on Cloud and Service Computing, 22-25 November 2017, Kanazawa, Japan, 2017.
[BibTeX]
[3] Frank, M., Staude, S. & Hilbrich, M. Is the PCM Ready for ACTORs and Multicore CPUs? - A Use Case-based Evaluation. In Proceedings of the Symposium on Software Performance 2017, 9-10 November 2017, Karlsruhe, Germany, 2017.
[BibTeX]
[4] Hilbrich, M. & Frank, M. Debugging a Complex Systems, the Long Way from Data to Knowledge. In Proceedings of the Symposium on Software Performance 2017, 9-10 November 2017, Karlsruhe, Germany, 2017.
[BibTeX]
[5] Hilbrich, M. & Frank, M. Analysis of Series of Measurements from Job-Centric Monitoring by Statistical Functions. Computer Science, 18(1):2, 2017.
[BibTeX] [Abstract]
[6] Hilbrich, M. & Frank, M. Time-Aligned Similarity Calculations for Job-Centric Monitoring. In IEEE 2017 CloudCom-Asia international conference, 2017.
[BibTeX]
2016

[1] Richter, P., Frank, M. & Schlieter, H. Entwicklung eines Leitlinienmanagementsystems - Anforderungen und konzeptuelle Vorarbeiten. In Multikonferenz Wirtschaftsinformatik (MKWI) 2016 : Technische Universität Ilmenau, 09. - 11. März 2016; Band II, pages 679-690, 2016.
[BibTeX]
[2] Frank, M. & Hilbrich, M. Performance Prediction for Multicore Environments---An Experiment Report. In Proceedings of the Symposium on Software Performance 2016, 7-9 November 2016, Kiel, Germany, 2016.
[BibTeX]
[3] Hilbrich, M. & Frank, M. & Lehrig, S. Security Modeling with Palladio---Different Approaches. In Proceedings of the Symposium on Software Performance 2016, 7-9 November 2016, Kiel, Germany, 2016.
[BibTeX]
[4] Hilbrich, M., Lehrig, S. & Frank, M. Measured Values Lost in Time---or How I rose from a User to a Developer of Palladio. , 2016., (urlhttp://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-213813).
[BibTeX]
2015

[1] Frank, M., Hilbrich, M. & Lehrig, S. Improved Scalability for Job-centric Monitoring in Distributed Infrastructures. In CGW Workshop '15 Proceedings, pages 79-80, ACC Cyfronet AGH, 2015., (ISBN 978-83-61433-14-9).
[BibTeX]
[2] Hilbrich, M. & Frank, M. Analysis of Series of Measurements from Job-Centric Monitoring by Statistical Functions. In CGW Workshop '15 Proceedings, pages 81-82, ACC Cyfronet AGH, 2015., (ISBN 978-83-61433-14-9).
[BibTeX]
[3] Hilbrich, M. & Frank, M. Better Resource Usage by Job-Centric Monitoring. , 2015., (Symposium on Software Performance 2015, Poster, Munich, Germany).
[BibTeX]