Johannes Rank

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Functional Genomics

Event Processing

Stream Processing

Top Venues

Softwaretechnik-Trends

Grundlagen von Datenbanken

Nucleic Acids Res.

Big Data Cogn. Comput.

Publications

Johannes Rank, Jonas Herget, Andreas Hein, Helmut Krcmar
Evaluating Task-Level CPU Efficiency for Distributed Stream Processing Systems. Big Data Cogn. Comput. 7 (1) (2023)
Johannes Rank, Andreas Hein, Helmut Krcmar
The Role of Performance in Streaming Analytics Projects: Expert Interviews on Current Challenges and Future Research Directions. Softwaretechnik-Trends 43 (1) (2023)
Johannes Rank, Maximilian Barnert, Andreas Hein, Helmut Krcmar
Predicting Scaling Efficiency of Distributed Stream Processing Systems via Task Level Performance Simulation. Softwaretechnik-Trends 43 (1) (2023)
Ludwig Lautenbacher, Patroklos Samaras, Julian Muller, Andreas Grafberger, Marwin Shraideh, Johannes Rank, Simon T. Fuchs, Tobias K. Schmidt, Matthew The, Christian Dallago, Holger Wittges, Burkhard Rost, Helmut Krcmar, Bernhard Kuster, Mathias Wilhelm
ProteomicsDB: toward a FAIR open-source resource for life-science research. Nucleic Acids Res. 50 (D1) (2022)
Johannes Rank, Andreas Hein, Helmut Krcmar
A Dynamic Resource Demand Analysis Approach for Stream Processing Systems. Softwaretechnik-Trends 40 (3) (2020)
Patroklos Samaras, Tobias Schmidt, Martin Frejno, Siegfried Gessulat, Maria Reinecke, Anna Jarzab, Jana Zecha, Julia Mergner, Piero Giansanti, Hans-Christian Ehrlich, Stephan Aiche, Johannes Rank, Harald Kienegger, Helmut Krcmar, Bernhard Küster, Mathias Wilhelm
ProteomicsDB: a multi-omics and multi-organism resource for life science research. Nucleic Acids Res. 48 (Database-Issue) (2020)
Johannes Rank, Dominik Paluch, Harald Kienegger, Helmut Krcmar
Towards Performance Prediction for Stream Processing Applications. Grundlagen von Datenbanken (2019)
Dominik Paluch, Johannes Rank, Harald Kienegger, Helmut Krcmar
Monitoring Thread-Related Resource Demands of a Multi-Tenant In-Memory Database in a Cloud Environment. Grundlagen von Datenbanken (2019)
Maximilian Barnert, Adrian Streitz, Johannes Rank, Harald Kienegger, Helmut Krcmar
Using OPEN.xtrace and Architecture-Level Models to Predict Workload Performance on In-Memory Database Systems. Softwaretechnik-Trends 39 (4) (2019)
Adrian Streitz, Maximilian Barnert, Johannes Rank, Harald Kienegger, Helmut Krcmar
Towards Model-based Performance Predictions of SAP Enterprise. Softwaretechnik-Trends 39 (3) (2019)