Picture of Johannes Rank

Johannes Rank, M.Sc.

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

  • Phone: +49 (89) 289 - 17645
  • Room: 8101.02.212
  • johannes.rank(at)tum.de

Educational Background

  • M.Sc. in Information Systems (Technische Universität München)
  • B.Sc. in Information Systems (Hochschule Rosenheim)

Work Experience

  • Technische Universität München - SAP Basis Administration (Hiwi)
  • BDO AG - IT Audit (Working Student)
  • Halvotec GmbH - .NET Development (Working Student)

Research Interests

  • Model based Performance Prediction
  • Performance of Streaming Systems
  • Enterprise Applications on the example of SAP

Research Projects

Publications

  • Rank, Johannes; Hein, Andreas; Krcmar, Helmut: The Role of Performance in Streaming Analytics Projects: Expert Interviews on Current Challenges and Future Research Directions. 13th Symposium on Software Performance 2022, 2022Leipzig, Germany mehr…
  • Rank, Johannes; Barnert, Maximilian; Hein, Andreas; Krcmar, Helmut: Predicting Scaling Efficiency of Distributed Stream Processing Systems via Task Level Performance Simulation. 13th Symposium on Software Performance 2022, 2022Leipzig, Germany mehr…
  • Bögelsack, André; Chakraborty, Utpal; Kumar, Dhiraj; Rank, Johannes; Tischbierek, Jessica; Wolz, Elena: SAP S/4 HANA-Systeme in Hyperscaler Clouds: SAP S/4HANA Systems in Hyperscaler Clouds - Deploying SAP S/4HANA in AWS, Google Cloud, and Azure. Apress, 2022 mehr…
  • Bögelsack, André; Chakraborty, Utpal; Kumar, Dhiraj; Wolz, Elena; Rank, Johannes; Tischbierek, Jessica: SAP S/4 HANA-Systeme in Hyperscaler Clouds - Architektur, Betrieb und Setup von S/4HANA-Systemen in Microsoft Azure, Amazon Web Services und Google Cloud. Springer Fachmedien Wiesbaden, 2022 mehr…
  • Rank, Johannes; Hein, Andreas; Krcmar, Helmut: A Dynamic Resource Demand Analysis Approach for Stream Processing Systems. 11th Symposium on Software Performance 2020, 2020Leipzig, Germany mehr…
  • Rank, Johannes; Paluch, Dominik; Kienegger, Harald; Krcmar, Helmut: Towards Performance Prediction for Stream Processing Applications. 31st GI-Workshop Grundlagen von Datenbanken , 2019Saarburg, Germany mehr…
  • Paluch, Dominik; Rank, Johannes; Kienegger, Harald; Krcmar, Helmut: Monitoring Thread-Related Resource Demands of a Multi-Tenant In-Memory Database in a Cloud Environment. 31st GI-Workshop Grundlagen von Datenbanken, 2019Saarburg, Germany mehr…
  • Banert, Maximilian; Streitz, Adrian; Rank, Johannes; Kienegger, Harald; Krcmar, Helmut: Using OPEN.xtrace and Architecture-Level Models to PredictWorkload Performance on In-Memory Database Systems. Symposium on Software Performance, 2019Würzburg, Germany mehr…
  • Streitz, Adrian; Barnert, Maximilian; Rank, Johannes; Kienegger, Harald; Krcmar, Helmut: Towards Model-based Performance Predictions of SAP Enterprise Applications. Symposium on Software Performance, 2018Hildesheim, Germany mehr…