Publications Prof. Odej Kao

Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads

Wiesner, Philipp and Scheinert, Dominik and Wittkopp, Thorsten and Thamsen, Lauritz and Kao, Odej

28th International European Conference on Parallel and Distributed Computing (Euro-Par). Springer, to appear. 2022

Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams

Becker, Soeren and Scheinert, Dominik and Schmidt, Florian and Kao, Odej

6th IEEE International Conference on Fog and Edge Computing 2022. IEEE. 2022

Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems

Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, and Odej Kao

2022 IEEE 25th International Symposium on Real-Time Distributed Computing (ISORC) 2022

SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks

Habenicht, Daniel and Kreutz, Kevin and Becker, Soeren and Bader, Jonathan and Thamsen, Lauritz and Kao, Odej

5th International Workshop on Edge Systems, Analytics and Networking. ACM. 2022

A2Log: Attentive Augmented Log Anomaly Detection

Wittkopp, Thorsten and Acker, Alexander and Nedelkoski, Sasho and Bogatinovski, Jasmin and Scheinert, Dominik and Fan, Wu and Odej Kao

55th Hawaii International Conference on Systems Science, 1853-1862. 2022

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters

Bader, Jonathan and Thamsen, Lauritz and Kulagina, Svetlana and Will, Jonathan and Meyerhenke, Henning and Kao, Odej

2021 IEEE International Conference on Big Data. IEEE, to appear. 2021

A Taxonomy of Anomalies in Log Data

Wittkopp, Thorsten and Wiesner, Philipp and Scheinert, Dominik and Kao, Odej

2nd International Workshop on Artificial Intelligence for IT Operations (AIOPS), to appear. 2021

EdgePier: P2P-based Container Image Distribution in Edge Computing Environments

Soeren Becker and Florian Schmidt and Odej Kao

40th IEEE International Performance Computing and Communications Conference. IEEE, to appear. 2021

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation

Scheinert, Dominik and Zhu, Houkun and Thamsen, Lauritz and Geldenhuys, Morgan K. and Will, Jonathan and Acker, Alexander and Kao, Odej

40th IEEE International Performance Computing and Communications Conference. IEEE, to appear. 2021

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks

Soeren Becker and Florian Schmidt and Lauritz Thamsen and Ana Juan Ferrer and Odej Kao

IEEE International Conference on Autonomic Computing and Self-Organizing Systems. IEEE, to appear. 2021

Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations

Wu, Li and Tordsson, Johan and Elmroth, Erik and Kao, Odej

IEEE International Conference on Autonomic Computing and Self-Organizing Systems. IEEE, to appear. 2021

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts

Scheinert, Dominik and Thamsen, Lauritz and Zhu, Houkun and Will, Jonathan and Acker, Alexander and Wittkopp, Thorsten and Kao, Odej

2021 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 261-270. 2021

The Collaborative Research Center FONDA

Ulf Leser, Odej Kao, and others

Datenbank Spektrum. Springer. 2021

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms

Ferrer, Ana Juan and Becker, Soeren and Schmidt, Florian and Thamsen, Lauritz and Kao, Odej

Workshop Proceedings of the 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing. IEEE, To appear. 2021

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies

Scheinert, Dominik and Acker, Alexander and Thamsen, Lauritz and Geldenhuys, Morgan K. and Kao, Odej

Workshop Proceedings of the 43th International Conference on Software Engineering, 7-12. 2021

Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models

Bogatinovski, Jasmin and Harald, Ott and, Acker, Alexander and Nedelkoski, Sasho and Kao, Odej

Workshop Proceedings of the 43th International Conference on Software Engineering. ACM, To appear. 2021

MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems

Wu, Li and Tordsson, Johan and Bogatinovski, Jasmin and Elmroth, Erik and Kao, Odej

Workshop Proceedings of the 43th International Conference on Software Engineering. ACM, To appear. 2021

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper

Jasmin Bogatinovski and Sasho Nedelkoski and Alexander Acker and Florian Schmidt and Thorsten Wittkopp and Soeren Becker and Jorge Cardoso and Odej Kao

2021

C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds

Will, Jonathan and Thamsen, Lauritz and Scheinert, Dominik and Bader, Jonathan and Kao, Odej

International Conference on Cloud Engineering. IEEE, 43-52. 2021

Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data

Styp-Rekowski, Kevin and Stolle, Claudia and Michaelis, Ingo and Kao, Odej

2021 IEEE International Conference on Big Data (Big Data). IEEE, To appear. 2021

Service-Oriented Computing

Hakim Hacid and Odej Kao et al.

Springer. 2021

Self-Supervised Anomaly Detection from Distributed Traces

J. Bogatinovski and S. Nedelkoski and J. Cardoso and O. Kao

2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 342–347. 2020

Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines

Ahmad, Sabtain and Styp-Rekowski, Kevin and Nedelkoski, Sasho and Kao, Odej

2020 IEEE International Conference on Big Data (Big Data), 4093–4102. 2020

Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs

Geldenhuys, Morgan and Thamsen, Lauritz and Kao, Odej

2020 IEEE International Conference on Big Data, 434–440. 2020

Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series

Styp-Rekowski, Kevin and Schmidt, Florian and Kao, Odej

2020 IEEE International Conference on Big Data (Big Data), 2217–2222. 2020

Performance Diagnosis in Cloud Microservices using Deep Learning

Wu, Li and Bogatinovski, Jasmin and Nedelkoski, Sasho and Tordsson, Johan and Kao, Odej

18th International Conference on Service-Oriented Computing, To appear. 2020

Towards AIOps in Edge Computing Environments

Becker, Soeren and Schmidt, Florian and Gulenko, Anton and Acker, Alexander and Kao, Odej

2020 IEEE International Conference on Big Data. IEEE, 3470–3475. 2020

Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?

Behnke, Ilja and Pirl, Lukas and Thamsen, Lauritz and Danicki, Robert and Polze, Andreas and Kao, Odej

IPCCC 2020: 39th International Performance Computing and Communications Conference, 1-6. 2020

Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs

Nedelkoski, Sasho and Bogatinovski, Jasmin and Acker, Alexander and Cardoso, Jorge and Kao, Odej

ICDM 2020: 20th IEEE International Conference on Data Mining, 1196–1201. 2020

Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction

Acker, Alexander and Wittkopp, Thorsten and Nedelkoski, Sasho and Bogatinovski, Jasmin and Kao, Odej

15th Conference on Computer Science and Information Systems, 7–10. 2020

Self-Supervised Log parsing

S. Nedelkoski and J. Bogatinovski and A. Acker and J. Cardoso and O. Kao

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2020, 1–742. 2020

Multi-Source Distributed System Data for AI-powered Analytics

Nedelkoski, Sasho and Bogatinovski, Jasmin and Mandapati, Ajay, and Cardoso, Jorge and Kao, Odej

ESOCC 2020: European Conference On Service-Oriented And Cloud Computing. Springer International Publishing, 161–176. 2020

AI-Governance and Levels of Automation for AIOps-supported system administration

Gulenko, Anton and Acker, Alexander and Kao, Odej and Liu, Feng

The 29th International Conference on Computer Communications and Networks, 1–6. 2020

Fingerprinting Analog IoT Sensors for Secret-Free Authentication

Lorenz, Felix and Thamsen, Lauritz and Wilke, Andreas and Behnke, Ilja and Waldmüller-Littke, Jens and Komarov, Ilya and Kao, Odej and Paeschke, Manfred

2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 1–6. 2020

Bitflow: An In Situ Stream Processing Framework

Gulenko, Anton and Acker, Alexander and Schmidt, Florian and Becker, Soeren and Kao, Odej

International Conference on Autonomic Computing and Self-Organizing Systems, 182–187. 2020

MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems

Wu, Li and Tordsson, Johan and Acker, Alexander and Kao, Odej

2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 227–236. 2020

Learning more expressive joint distributions in multimodal variational methods

S. Nedelkoski and M. Bogojevski and O. Kao

2020 International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, 137–149. 2020

Sensor Artificial Intelligence and its Application to Space Systems--A White Paper

Börner, Anko and Hübers, Heinz-Wilhelm and Kao, Odej and Schmidt, Florian and Becker, Sören and Denzler, Joachim and Matolin, Daniel and Haber, David and Lucia, Sergio and Samek, Wojciech and others

arXiv preprint arXiv:2006.08368 2020

Mary, Hugo, and Hugo*: Learning to Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters

Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, and Odej Kao

Concurrency and Computation: Practice and Experience. Wiley, e5823. 2020

MicroRCA: Root Cause Localization of Performance Issues in Microservices

Wu, Li and Tordsson, Johan and Elmroth, Erik and Kao, Odej

NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1–9. 2020

Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds

Behnke, Ilja and Thamsen, Lauritz and Kao, Odej

12th IEEE/ACM International Conference on Utility and Cloud Computing Companion. ACM, 15–20. 2019

Effectively Testing System Configurations of Critical IoT Analytics Pipelines

Geldenhuys, Morgan K. and Thamsen, Lauritz and Gontarska, Kain Kordian and Lorenz, Felix and Kao, Odej

2019 IEEE International Conference on Big Data. IEEE, 4157–4162. 2019

Graph-based Feature Selection Filter Utilizing Maximal Cliques

Schroeder, Daniel Thilo and Styp-Rekowski, Kevin and Schmidt, Florian and Acker, Alexander and Kao, Odej

2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 297–302. 2019

Case Study: Visualizing Computer System Programming Concepts for Education

Schmidt, Florian and Ohlemacher, Johannes and Hennig, Vincent and Kao, Odej and Nordholz, Jan

SEFI 47th Annual Conference Proceedings - Complexity is the new normality. SEFI, 970–979. 2019

Anomaly Detection and Levels of Automation for AI-Supported System Administration

Gulenko, Anton and Kao, Odej and Schmidt, Florian

Annual International Symposium on Information Management and Big Data, 1–7. 2019

Thamsen, Lauritz and Verbitskiy, Ilya and Nedelkoski, Sasho and Tran, Vinh Thuy and Meyer, Vinicius and Xavier, Miguel G. and Kao, Odej and De Rose, Cesar A. F.

Euro-Par 2019: Parallel Processing Workshops. Springer, 519–530. 2019

Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring

Wallschläger, Marcel and Acker, Alexander and Kao, Odej

Computational Science and Its Applications – ICCSA 2019. Springer International Publishing, 241–256. 2019

Anomaly Detection from System Tracing Data Using Multimodal Deep Learning

S. Nedelkoski and J. Cardoso and O. Kao

2019 IEEE 12th International Conference on Cloud Computing (CLOUD). IEEE, 179–186. 2019

Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures

Nedelkoski, Sasho and Thamsen, Lauritz and Verbitskiy, Ilya and Kao, Odej

2019 IEEE International Conference on Edge Computing (EDGE). IEEE, 8–12. 2019

Anomaly Detection and Classification using Distributed Tracing and Deep Learning

S. Nedelkoski and J. Cardoso and O. Kao

2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). IEEE/ACM, 241–250. 2019