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Markus Frank

M.Sc.

Teaching and Research Assistant

address Universität Stuttgart
Institute of Software Technology
Universitätsstraße 38
D-70569 Stuttgart
Germany
phone +49 711 685-88 272
fax +49 711 685-88 472
e-mail markus.frank [at] informatik.uni-stuttgart.de
room 1.336
office hours by appointment

 

Research Interests

 
Performance Prediction for Multicore Systems


Multicore systems are a permanent part of your daly life. Regardless whether we consider nowadays desktop pc's, notebooks or smart phones all devices running on multicore CPUs. To use these hardware features in an efficient way we need parallel enabled software. But the development of such software is more complex then 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 analyze software designs on a model level. 
Software Architects can use tools like Palladio to simulate and analyze early phase software designs. Unfortunately, current approaches and tools lack the ability to consider multicore systems.
Therefor, we aim in this project to find performace prediction methods for multicore systems.

 


Publications

2017
  • [1] Hilbrich, M. & Frank, M. Analysis of Series of Measurements from Job-Centric Monitoring by Statistical Functions. Computer Science, 18(1):2, 2017.
  • [2] Hilbrich, M. & Frank, M. Time-Aligned Similarity Calculations for Job-Centric Monitoring. In IEEE 2017 CloudCom-Asia international conference, 2017.
  • [3] 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.
  • [4] 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.
  • [5] 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.
  • [6] 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.

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.
  • [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.
  • [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.

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


CV

  • M.Sc Wirtschaftsinformatik
  • 2012 - 2014

  • Research Assistent, TU Chemenitz
  • Prof. Dr. Steffen Becker
  • Faculty of Computer Science
  • Software Engineering Chair
  • June 2015 - September 2017
  • Research Assistent, Uni Stuttgart
  • Prof. Dr. Steffen Becker
  • Institute for Software Engineering
  • Reliable Software Systems Group
  • Since October 2017

Teaching

Courses

  • Winter Term 2017/2018
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Projects, Theses

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