From 2015 until 2020, I work as a PhD Student at the University of Chemnitz and later at the University of Stuttgart.

Teaching

As part of my work as a senior PhD student, I prepared, conducted and managed a series of lectures. including:

  • Quantitative Analysis of Software Design,
  • Model-driven Software Development,
  • Parallel Systems
  • Software Architecture
  • Programming
  • Software Engineering

Research Topic

Performance Prediction for Multicore Systems

Multicore systems are a permanent part of our daily life. Regardless of whether we consider nowadays desktop PC’s, notebooks or smartphones all devices running on multicore CPUs. To use these hardware features in an efficient way we need parallel enabled software. However, the development of such software is more complicated than developing sequential software.

To handle the rising complexity, it is necessary to develop software in an engineer-like way. In such a process Software Architects plan and analyse software designs on a model level.
Software Architects can use tools like Palladio to simulate and analyse early phase software designs. Unfortunately, current approaches and tools cannot consider multicore systems.
Therefore, we aim in this project to find performance prediction methods for multicore systems..

Publications

2021

Dissertation (PhD) Frank, M. (2021). Model-Based Performance Prediction for Concurrent Software on Multicore Architectures – A Simulation-Based Approach OPUS – Publication Server of the University of Stuttgart [Link]

2020

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.
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.

2019

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. [Link]
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. 
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 – [Link]
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– [Link]
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 – [Link]

2018

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. [ .pdf ]
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. [ DOI | http ]
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.
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.
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.

2017

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.
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.
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.
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.
Hilbrich, M. & Frank, M. Analysis of Series of Measurements from Job-Centric Monitoring by Statistical Functions. Computer Science, 18(1):2, 2017.
Hilbrich, M. & Frank, M. Time-Aligned Similarity Calculations for Job-Centric Monitoring. In IEEE 2017 CloudCom-Asia international conference, 2017.

2016

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.
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.
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.
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).

2015

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).
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).
Hilbrich, M. & Frank, M. Better Resource Usage by Job-Centric Monitoring. , 2015., (Symposium on Software Performance 2015, Poster, Munich, Germany).