Monitoring Thread-Related Resource Demands of a Multi-Tenant In-Memory Database in a Cloud Environment. - Dominik Paluch; Johannes Rank; Harald Kienegger; Helmut Krcmar (Grundlagen von Datenbanken, 2019)

Towards Performance Prediction for Stream Processing Applications. - Johannes Rank; Dominik Paluch; Harald Kienegger; Helmut Krcmar (Grundlagen von Datenbanken, 2019)

Using OPEN.xtrace and Architecture-Level Models to Predict Workload Performance on In-Memory Database Systems. - Maximilian Barnert; Adrian Streitz; Johannes Rank; Harald Kienegger; Helmut Krcmar (Softwaretechnik-Trends, 2019)

Towards Model-based Performance Predictions of SAP Enterprise. - Adrian Streitz; Maximilian Barnert; Johannes Rank; Harald Kienegger; Helmut Krcmar (Softwaretechnik-Trends, 2019)

ProteomicsDB: a multi-omics and multi-organism resource for life science research. - Patroklos Samaras; Tobias Schmidt 003; Martin Frejno; Siegfried Gessulat; Maria Reinecke; Anna Jarzab; Jana Zecha; Julia Mergner; Piero Giansanti; Hans-Christian Ehrlich; Stephan Aiche; Johannes Rank; et al. (Nucleic Acids Res., 2020)

A Dynamic Resource Demand Analysis Approach for Stream Processing Systems. - Johannes Rank; Andreas Hein 002; Helmut Krcmar (Softwaretechnik-Trends, 2020)

ProteomicsDB: toward a FAIR open-source resource for life-science research. - Ludwig Lautenbacher; Patroklos Samaras; Julian Müller 007; Andreas Grafberger; Marwin Shraideh; Johannes Rank; Simon T. Fuchs; Tobias K. Schmidt; Matthew The; Christian Dallago; Holger Wittges; Burkhard Rost; et al. (Nucleic Acids Res., 2022)

Task Level Performance - Datasets and Analysis. - Johannes Rank (IEEE DataPort, 2022)

Predicting Scaling Efficiency of Distributed Stream Processing Systems via Task Level Performance Simulation. - Johannes Rank; Maximilian Barnert; Andreas Hein 002; Helmut Krcmar (Softwaretechnik-Trends, 2023)

The Role of Performance in Streaming Analytics Projects: Expert Interviews on Current Challenges and Future Research Directions. - Johannes Rank; Andreas Hein 002; Helmut Krcmar (Softwaretechnik-Trends, 2023)

Evaluating Task-Level CPU Efficiency for Distributed Stream Processing Systems. - Johannes Rank; Jonas Herget; Andreas Hein 002; Helmut Krcmar (Big Data Cogn. Comput., 2023)