Thorsten Wittkopp

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Anomaly Detection

Top Venues

ICSOC Workshops

Publications

Thorsten Wittkopp, Philipp Wiesner, Odej Kao
LogRCA: Log-based Root Cause Analysis for Distributed Services. CoRR (2024)
Thorsten Wittkopp, Alexander Acker, Odej Kao
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. ICDM (Workshops) (2023)
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. CoRR (2023)
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. HICSS (2023)
Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. CoRR (2023)
Thorsten Wittkopp, Alexander Acker, Odej Kao
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. CoRR (2023)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. HICSS (2022)
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. CoRR (2022)
Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. Euro-Par (2022)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. CoRR (2021)
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. IEEE BigData (2021)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
A Taxonomy of Anomalies in Log Data. CoRR (2021)
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. CoRR (2021)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Sören Becker, Jorge Cardoso, Odej Kao
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR (2021)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
A Taxonomy of Anomalies in Log Data. ICSOC Workshops (2021)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. CoRR (2021)
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CoRR (2021)
Thorsten Wittkopp, Alexander Acker
Decentralized Federated Learning Preserves Model and Data Privacy. CoRR (2021)
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER (2021)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. ICSOC (2021)
Thorsten Wittkopp, Alexander Acker
Decentralized Federated Learning Preserves Model and Data Privacy. ICSOC Workshops (2020)
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. FedCSIS (2020)
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. CoRR (2020)