Publications of the Research Group

Towards a Staging Environment for the Internet of Things

Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, and Lauritz Thamsen

2021 IEEE International Conference on Pervasive Computing and Communications Workshops, To appear. 2021

PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT

Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke and Lauritz Thamsen

2021 ACM/SPEC International Conference on Performance Engineering Companion, 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

43rd International Conference on Software Engineering, To appear. 2021

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

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

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

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, To appear. 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

A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring

Lorenz, Felix and Geldenhuys, Morgan and Sommer, Harald and Jakobs, Frauke and Lüring, Carsten and Skwarek, Volker and Behnke, Ilja and Thamsen, Lauritz

2020 IEEE International Conference on Big Data. IEEE, 3488–3493. 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, To appear. 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

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

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

TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services

Dominik Scheinert and Alexander Acker

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

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

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

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

Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs

Will, Jonathan and Bader, Jonathan and Thamsen, Lauritz

2020 IEEE International Conference on Big Data. IEEE, 2851–2856. 2020

Decentralized Federated Learning Preserves Model and Data Privacy

Thorsten Wittkopp and Alexander Acker

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

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

Unsupervised Anomaly Alerting for IoT-Gateway Monitoring using Adaptive Thresholds and Half-Space Trees

Wetzig, René and Gulenko, Anton and Schmidt, Florian

2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS). IEEE, 161–168. 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

Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs

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

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 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

Digital Teaching and Learning Projects in Engineering Education at Technische Universit\"at Berlin

Schmidt, Florian and Schmitt, Franz-Josef and Böger, Laura and Wilhelm-Weidner, Arno and Torjus, Nicole

2019 ASEE Annual Conference & Exposition. American Society for Engineering Education. 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

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

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

Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources

Janßen, Gerrit and Verbitskiy, Ilya and Renner, Thomas and Thamsen, Lauritz

2018 IEEE International Conference on Big Data. IEEE, 5159–5164. 2018

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

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 290–295} title = {Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems. 2018

Schmidt, Florian and Suri-Payer, Florian and Gulenko, Anton and Wallschläger, Marcel and Acker, Alexander and Kao, Odej

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 278–283} title = {Unsupervised Anomaly Event Detection for VNF Service Monitoring using Multivariate Online Arima. 2018

Schmidt, Fldorian and Suri-Payer, Florian and Gulenko, Anton and Wallschläger, Marcel and Acker, Alexander and Kao, Odej

2018 IEEE/ACM International Conference on Utility and Cloud Computing (UCC). IEEE, 71–76} title = {Unsupervised Anomaly Event Detection for Cloud Monitoring using Online Arima. 2018

CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters

Verbitskiy, Ilya and Thamsen, Lauritz and Renner, Thomas and Kao, Odej

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 81–88. 2018

A Practical Implementation of In-Band Network Telemetry in Open vSwitch

Gulenko, Anton and Wallschläger, Marcel and Kao, Odej

2018 7th IEEE International Conference on Cloud Networking (CloudNet). IEEE. 2018

Wallschläger, Marcel and Gulenko, Anton and Schmidt, Florian and Acker, Alexander and Kao, Odej

2018 7th IEEE International Conference on Cloud Networking (CloudNet). IEEE, 1–6} title = {Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution. 2018

Designing a Planetary-Scale IMAP Service with Conflict-free Replicated Data Types

Jungnickel, Tim and Oldenburg, Lennart and Loibl, Matthias

International Conference on Principles of Distributed Systems. LIPIcs, 23:1–23:17. 2018

ViMEC: Interactive Application for Micro-Cluster Visualizations

Schmidt, Florian and Ehrenfeld, Yannick

EuroVis 2018 - Posters. The Eurographics Association, 29–31. 2018

Endolith: A Blockchain-based Framework to Enhance Data Retention in Cloud Storages

Renner, Thomas and Müller, Johannes and Kao, Odej

Proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing. Euromicro, 627–634. 2018

IFTM-Unsupervised Anomaly Detection for Virtualized Network Function Services

Schmidt, Florian and Gulenko, Anton and Wallschläger, Marcel and Acker, Alexander and Hennig, Vincent and Liu, Feng and Kao, Odej

2018 IEEE International Conference on Web Services (ICWS), 187–194. 2018

Decision Tree Visualization for High-dimensional Numerical Data

Szücs, Dora and Schmidt, Florian

2018 IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS) 2018

Adaptive Resource Management for Distributed Data Analytics

Thamsen, Lauritz and Renner, Thomas and Verbitskiy, Ilya and Kao, Odej

Advances in Parallel Computing – Big Data and HPC: Ecosystem and Convergence. IOS Press, 155–170. 2018

Learning Efficient Co-locations for Scheduling Distributed Dataflows in Shared Clusters

Thamsen, Lauritz and Verbitskiy, Ilya and Rabier, Benjamin and Kao, Odej

Services Transactions on Big Data. Services Society, 1–15. 2018

Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering

Gulenko, Anton and Schmidt, Florian and Acker, Alexander and Wallschlager, Marcel and Kao, Odej and Liu, Feng

2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 912–915. 2018