It is our greatest pleasure to annonuce the publication of our papers. Congratulations to the authors.

“Auto-Logging: AI-centered Logging Instrumentation”
Bogatinovski Jasmin, Kao Odej
45th International Conference on Software Engineering, 2023.

PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao 56th Hawaii International Conference on System Sciences (HICSS), 1376–1385. 2023.

HiMFP: Hierarchical Intelligent Memory Failure Prediction for Cloud Service Reliability Qiao Yu, Zhang Wengui, Haeri Soroush, Notaro Paolo, Jorge Cardoso, Odej Kao 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network (DSN). 2023.

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao 42th International Performance Computing and Communications Conference (IPCCC), 403–412. 2023.

Software-in-the-Loop Simulation for Developing and Testing Carbon-Aware Applications Philipp Wiesner, Marvin Steinke, Henrik Nickel, Yazan Kitana, Odej Kao Software: Practice and Experience, 1–15. 2023.

Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients Pratik Agrawal, Philipp Wiesner, Odej Kao 2nd Workshop on Machine Learning Networking (MaLeNe) at NetSys ‘23. 2023.

Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao International Conference on Scientific and Statistical Database Management (SSDBM), 1–4. 2023.

Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties Ilja Behnke, Philipp Wiesner, Paul Voelker, Odej Kao 2nd International Workshop on Middleware for the Edge (MiddleWEdge) at Middleware ‘23. 2023.

Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications Dominik Scheinert, Soeren Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen IEEE International Conference on Big Data (BigData), 2339–2345. 2023.

Predicting Dynamic Memory Requirements for Scientific Workflow Tasks Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao 2023 IEEE International Conference on Big Data (Big Data). 2023.

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao 42th International Performance Computing and Communications Conference (IPCCC), 403–412. 2023.

Software-in-the-Loop Simulation for Developing and Testing Carbon-Aware Applications Philipp Wiesner, Marvin Steinke, Henrik Nickel, Yazan Kitana, Odej Kao Software: Practice and Experience, 1–15. 2023.

Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao International Conference on Scientific and Statistical Database Management (SSDBM), 1–4. 2023.