Odej Kao

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 181

Top Venues

Clausthal University of Technology (PHD)

Education History

Clausthal University of Technology

PHD

Publications

Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao
Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures. Future Gener. Comput. Syst. 150 (2024)
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao
FedZero: Leveraging Renewable Excess Energy in Federated Learning. e-Energy (2024)
Jiawen Xu, Claas Grohnfeldt, Odej Kao
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning. CoRR (2023)
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)
Philipp Wiesner, Ilja Behnke, Odej Kao
A Testbed for Carbon-Aware Applications and Systems. CoRR (2023)
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. HICSS (2023)
Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. CoRR (2023)
Ilja Behnke, Christoph Blumschein, Robert Danicki, Philipp Wiesner, Lauritz Thamsen, Odej Kao
Towards a real-time IoT: Approaches for incoming packet processing in cyber-physical systems. J. Syst. Archit. 140 (2023)
Ilja Behnke, Philipp Wiesner, Paul Voelker, Odej Kao
Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties. CoRR (2023)
Jasmin Bogatinovski, Odej Kao
Auto-Logging: AI-centred Logging Instrumentation. ICSE (NIER) (2023)
Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. BigData (2023)
Philipp Wiesner, Marvin Steinke, Henrik Nickel, Yazan Kitana, Odej Kao
Software-in-the-loop simulation for developing and testing carbon-aware applications. Softw. Pract. Exp. 53 (12) (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)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? SSDBM (2023)
Pratik Agrawal, Philipp Wiesner, Odej Kao
Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients. CoRR (2023)
Qiao Yu, Wengui Zhang, Jorge Cardoso, Odej Kao
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. CoRR (2023)
Ilja Behnke, Christoph Blumschein, Robert Danicki, Philipp Wiesner, Lauritz Thamsen, Odej Kao
Towards a Real-Time IoT: Approaches for Incoming Packet Processing in Cyber-Physical Systems. CoRR (2023)
Qiao Yu, Wengui Zhang, Paolo Notaro, Soroush Haeri, Jorge Cardoso, Odej Kao
HiMFP: Hierarchical Intelligent Memory Failure Prediction for Cloud Service Reliability. DSN (2023)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? CoRR (2023)
Jiawen Xu, Claas Grohnfeldt, Odej Kao
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning. ICCV (Workshops) (2023)
Ilja Behnke, Philipp Wiesner, Paul Voelker, Odej Kao
Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties. MIDDLEWEDGE@Middleware (2023)
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao
FedZero: Leveraging Renewable Excess Energy in Federated Learning. CoRR (2023)
Qiao Yu, Wengui Zhang, Jorge Cardoso, Odej Kao
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. ICCAD (2023)
Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. IC2E (2023)
Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. CoRR (2023)
Thorsten Wittkopp, Alexander Acker, Odej Kao
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. CoRR (2023)
Henrik Claßen, Jonas Thierfeldt, Julian Tochman-Szewc, Philipp Wiesner, Odej Kao
Carbon-Awareness in CI/CD. CoRR (2023)
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao
Lotaru: Locally Predicting Workflow Task Runtimes for Resource Management on Heterogeneous Infrastructures. CoRR (2023)
Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. CoRR (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. CoRR (2022)
Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao
Failure Identification from Unstable Log Data using Deep Learning. CCGRID (2022)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
Data-Driven Approach for Log Instruction Quality Assessment. CoRR (2022)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. HICSS (2022)
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. CoRR (2022)
Markus Toll, Ilja Behnke, Odej Kao
IoTreeplay: Synchronous Distributed Traffic Replay in IoT Environments. IC2E (2022)
Daniel Habenicht, Kevin Kreutz, Sören Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks. CoRR (2022)
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. CoRR (2022)
Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. Big Data (2022)
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. CoRR (2022)
Houkun Zhu, Helena Ebel, Dominik Scheinert, Florian Schmidt, Jens Altenkirch, Odej Kao
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process. IEEM (2022)
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. Big Data (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)
Jasmin Bogatinovski, Qiao Yu, Jorge Cardoso, Odej Kao
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. CoRR (2022)
Dominik Scheinert, Babak Sistani Zadeh Aghdam, Sören Becker, Odej Kao, Lauritz Thamsen
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. CoRR (2022)
Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. FedCSIS (2022)
Jonathan Bader, Nicolas Zunker, Sören Becker, Odej Kao
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. CoRR (2022)
Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao
Failure Identification from Unstable Log Data using Deep Learning. CoRR (2022)
Sören Becker, Tobias Pfandzelter, Nils Japke, David Bermbach, Odej Kao
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward. CoRR (2022)
Sören Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. CoRR (2022)
Daniel Habenicht, Kevin Kreutz, Sören Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao
SyncMesh: improving data locality for function-as-a-service in meshed edge networks. EdgeSys@EuroSys (2022)
Sören Becker, Dominik Scheinert, Florian Schmidt, Odej Kao
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. CoRR (2022)
Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
Leveraging Log Instructions in Log-based Anomaly Detection. SCC (2022)
Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. ISORC (2022)
Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Sören Becker, Odej Kao
Macaw: The Machine Learning Magnetometer Calibration Workflow. CoRR (2022)
Jasmin Bogatinovski, Odej Kao, Qiao Yu, Jorge Cardoso
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. Big Data (2022)
Markus Toll, Ilja Behnke, Odej Kao
IoTreeplay: Synchronous Distributed Traffic Replay in IoT Environments. CoRR (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. Big Data (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)
Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. Datenbank-Spektrum 22 (2) (2022)
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. IC2E (2022)
Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. Big Data (2022)
Jonathan Bader, Joel Witzke, Sören Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao
Towards Advanced Monitoring for Scientific Workflows. CoRR (2022)
Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. CoRR (2022)
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. CoRR (2022)
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. SSDBM (2022)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
QuLog: data-driven approach for log instruction quality assessment. ICPC (2022)
Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. IPCCC (2022)
Dominik Scheinert, Sören Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. CoRR (2022)
Sören Becker, Dominik Scheinert, Florian Schmidt, Odej Kao
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. ICFEC (2022)
Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. ICWS (2022)
Sören Becker, Tobias Pfandzelter, Nils Japke, David Bermbach, Odej Kao
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward. IC2E (2022)
Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao
Leveraging Log Instructions in Log-based Anomaly Detection. CoRR (2022)
Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. Big Data (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. CoRR (2022)
Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. IC2E (2022)
Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao
Towards Advanced Monitoring for Scientific Workflows. Big Data (2022)
Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CoRR (2021)
Sören Becker, Florian Schmidt, Odej Kao
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. IPCCC (2021)
Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. Concurr. Comput. Pract. Exp. 33 (18) (2021)
Sören Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao
Towards AIOps in Edge Computing Environments. CoRR (2021)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao
A Taxonomy of Anomalies in Log Data. CoRR (2021)
Sören Becker, Florian Schmidt, Odej Kao
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. CoRR (2021)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing 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)
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. 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)
Morgan Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. CoRR (2021)
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. IC2E (2021)
Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. 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)
Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CCGRID (2021)
Li Wu, Johan Tordsson, Erik Elmroth, Odej Kao
Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations. ACSOS (2021)
Sören Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. ACSOS (2021)
Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. IEEE BigData (2021)
Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. 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)
Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. CoRR (2021)
Kevin Styp-Rekowski, Florian Schmidt, Odej Kao
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Odej Kao