M.Sc Markus Frank profile image
  • M.Sc Wirtschaftsinformatik
  • Born 1989
  • Lives in Dresden



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
  • since October 2017

Skills

Language Skills

German
95%
English
85%

Economics

Management
80%
Controlling
75%

Business Informatics

Enterprise Modeling
90%
Data Warehousing
85%
Data Mining
75%
Knowledge Management
75%

Informatics

Software Engenieering
90%

Performance Prediction
85%
Programming
85%

Model-driven Software Development
80%
Quantitative Analysis of Software Design
75%
Webdesign
75%

Other

Teamwork
100%
Self-guided Learning
85%

Publications

Publications

2019

[1] 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]
[2]
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]
[3]
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]
[4]
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]