Thorsten Wittkopp

32 papers A 1C 4Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
Beyond Microservices: Testing Web-Scale RCA Methods on GPU-Driven LLM Workloads.
ICPE Companion
Dominik Scheinert, Alexander Acker, Thorsten Wittkopp, Soeren Becker, Hamza Yous, Karnakar Reddy, Ibrahim Farhat, Hakim Hacid, Odej Kao
2026 J jnl
Beyond Microservices: Testing Web-Scale RCA Methods on GPU-Driven LLM Workloads.
CoRR
Dominik Scheinert, Alexander Acker, Thorsten Wittkopp, Sören Becker, Hamza Yous, Karnakar Reddy, Ibrahim Farhat, Hakim Hacid, Odej Kao
2026 J jnl
Beyond Test-Time Compute Strategies: Advocating Energy-per-Token in LLM Inference.
CoRR
Patrick Wilhelm, Thorsten Wittkopp, Odej Kao
2026 J jnl
Monitoring Emergent Reward Hacking During Generation via Internal Activations.
CoRR
Patrick Wilhelm, Thorsten Wittkopp, Odej Kao
2025 J jnl
A layered architecture for log analysis in complex IT systems.
CoRR
Thorsten Wittkopp
2025 C conf
Adaptive LLM Routing for Scientific Workflows: Predicting Query Complexity to Optimize Cost.
IPCCC
Jonas Thierfeldt, Dominik Scheinert, Thorsten Wittkopp, Odej Kao
2025 — conf
Beyond Test-Time Compute Strategies: Advocating Energy-per-Token in LLM Inference.
EuroMLSys
Patrick Wilhelm, Thorsten Wittkopp, Odej Kao
2024 — conf
LogRCA: Log-Based Root Cause Analysis for Distributed Services.
Euro-Par (2)
Thorsten Wittkopp, Philipp Wiesner, Odej Kao
2024 J jnl
LogRCA: Log-based Root Cause Analysis for Distributed Services.
CoRR
Thorsten Wittkopp, Philipp Wiesner, Odej Kao
2023 C conf
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics.
IPCCC
Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao
2023 J jnl
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics.
CoRR
Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao
2023 — conf
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning.
HICSS
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
2023 J jnl
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning.
CoRR
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
2023 — conf
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis.
ICDM (Workshops)
Thorsten Wittkopp, Alexander Acker, Odej Kao
2023 J jnl
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis.
CoRR
Thorsten Wittkopp, Alexander Acker, Odej Kao
2022 — conf
A2Log: Attentive Augmented Log Anomaly Detection.
HICSS
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
2022 — conf
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads.
Euro-Par
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
2022 J jnl
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads.
CoRR
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
2021 — conf
A Taxonomy of Anomalies in Log Data.
ICSOC Workshops
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
2021 J jnl
A Taxonomy of Anomalies in Log Data.
CoRR
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
2021 J jnl
A2Log: Attentive Augmented Log Anomaly Detection.
CoRR
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
2021 J jnl
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper.
CoRR
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao
2021 C conf
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.
CLUSTER
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
2021 J jnl
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.
CoRR
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
2021 J jnl
Decentralized Federated Learning Preserves Model and Data Privacy.
CoRR
Thorsten Wittkopp, Alexander Acker
2021 A conf
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision.
ICSOC
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
2021 J jnl
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision.
CoRR
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
2021 — conf
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.
IEEE BigData
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
2021 J jnl
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.
CoRR
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
2020 — conf
Decentralized Federated Learning Preserves Model and Data Privacy.
ICSOC Workshops
Thorsten Wittkopp, Alexander Acker
2020 C conf
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction.
FedCSIS
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
2020 J jnl
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction.
CoRR
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao