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Philipp Waibel

Dipl.-Ing., BSc

Project Assistant


Short CV

Philipp finished his master's degree in Software Engineering & Internet Computing in 2015 and bachelor's degree in Software & Information Engineering in 2013 at the Vienna University of Technology. He is currently working as a project assistent at the Distributed Systems Group, Institute of Information Systems, Vienna University of Technology and is involved in the CREMA - Cloud-based Rapid Elastic Manufacturing project.

Research Interests

  • Distributed Systems
  • Cloud Computing
  • Cloud Storages
  • Elastic Processes
  • Architecture-Centric Software Development

Current Projects


Co-Advised Students

If you are interested in doing a Praktikum, Bachelor's or Master's thesis, do not hesitate to contact me.

Johannes Matt Master Thesis Finished
Markus Frühwirth Master Thesis In Progress
Molnar David Bachelor's Thesis Finished
Márton Bartal Bachelor's Thesis Finished


Journal Articles

  1. P. Waibel, C. Hochreiner, S. Schulte, A. Koschmider, J. Mendling (2019). ViePEP-C: A Container-based Elastic Process Platform (accepted for publication). IEEE Transactions on Cloud Computing, Volume NN, Number N, NN-NN.

  2. L. Mazzola, P. Waibel, P. Kaphanke, M. Klusch (2018). Smart Process Optimization and Adaptive Execution with Semantic Services in Cloud Manufacturing. Information, Volume 9, Number 11, pages 279.

  3. P. Waibel, J. Matt, C. Hochreiner, O. Skarlat, R. Hans, S. Schulte (2017). Cost-Optimized Redundant Data Storage in the Cloud. In Service Oriented Computing and Applications, Volume 11, Number 4, pages 411-426.

Conference and Workshop Proceedings

  1. P. Waibel, A. Yeshchenko, S. Schulte, J. Mendling (2018). Optimized Container-based Process Execution in the Cloud. In 26th International Conference on Cooperative Information Systems (CoopIS 2018), pp. 3-21. Springer, Berlin Heidelberg.

  2. P. Waibel, S. Videnov, M. Borkowski, C. Hochreiner, S. Schulte, J. Mendling (2018). Process Simulation for Machine Reservation in Cloud Manufacturing. In 16th IEEE International Conference on Industrial Informatics (INDIN 2018), Porto, Portugal, pp. 270-277.

  3. L. Mazzola, P. Kapahnke, P. Waibel, C. Hochreiner, and M. Klusch (2017). FCE4BPMN: On-demand QoS-based Optimised Process Model Execution in the Cloud. In IEEE International Conference on Engineering, Technology and Innovation/ International Technology Management Conference (ICE/ITMC 2017), pp. 319-328.

  4. P. Waibel, C. Hochreiner, S. Schulte (2016). Cost-Efficient Data Redundancy in the Cloud. In 9th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2016), pages 1-9.

  5. P. Waibel (2016). Elastic Process Optimization and Scheduling in the Cloud. In 7th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2016), pages 28-31.

  6. C. Hochreiner, M. Vögler, P. Waibel, S. Dustdar (2016). VISP: An Ecosystem for Elastic Data Stream Processing for the Internet of Things. In 20th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2016), pp. 1-11.

  7. C. Hochreiner, P. Waibel, M. Borkowski (2016). Bridging Gaps in Cloud Manufacturing with 3D Printing. In Proceedings of Informatik 2016, volume 259 of Lecture Notes in Informatics, pages 1623-1626. Gesellschaft für Informatik, Bonn.

  8. S. Schulte, M. Borkowski, C. Hochreiner, M. Klusch, A. Murguzur, O. Skarlat, P. Waibel (2016). Bringing Cloud-based Rapid Elastic Manufacturing to Reality with CREMA. In Workshop on Intelligent Systems Configuration Services for Flexible Dynamic Global Production Networks (FLEXINET) at the 8th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2016), pages 407-413.

  9. C. Dorn, P. Waibel, S. Dustdar (2014). Architecture-Centric Design of Complex Message-Based Service Systems. In Proceedings of the 12th International Conference on Service-oriented Computing (ICSOC 2014), Nov 2014, Paris, Springer LNCS [Supporting Online Material on this blog]

Invited Papers

  1. J. Matt, P. Waibel, S. Schulte (2017). Cost- and Latency-Efficient Redundant Data Storage in the Cloud. In 10th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2017), pages 164-172.





Distributed Systems Group
Vienna University of Technology
Argentinierstrasse 8/184-1
A-1040 Wien, Austria


Last edited: 26.7.2016