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Publications Prof. Odej Kao

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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, To appear. 2020

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2019

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

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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

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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

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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, To appear. 2019

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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

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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

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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), 179-186. 2019

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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

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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

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2018

Unsupervised Anomaly Event Detection for VNF Service Monitoring using Multivariate Online Arima

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. 2018

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Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems

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

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE. 2018

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Unsupervised Anomaly Event Detection for Cloud Monitoring using Online Arima

Schmidt, Florian 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. 2018

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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

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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

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Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution

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

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

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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

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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

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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

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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

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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

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2017

SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows

Koch, Jannis and Thamsen, Lauritz and Schmidt, Florian and Kao, Odej

The 18th International Conference on Parallel and Distributed Computing, Applications and Technologies. IEEE, 156–163. 2017

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Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets

Thamsen, Lauritz and Verbitskiy, Ilya and Beilharz, Jossekin and Renner, Thomas and Polze, Andreas and Kao, Odej

Proceedings of the 2017 IEEE 9th International Conference on Cloud Computing Technology and Science. IEEE, 146–153. 2017

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Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference

Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, and Odej Kao

In the Proceedings of the 6th 2017 IEEE International Congress on Big Data (BigData Congress 2017). IEEE, 145-152. 2017

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Addressing Hadoop's Small File Problem With an Appendable Archive File Format

Renner, Thomas and Müller, Johannes and Thamsen, Lauritz and Kao, Odej

Proceedings of the Computing Frontiers Conference. ACM, 367–372. 2017

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Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring

Thomas Renner and Lauritz Thamsen and Odej Kao

Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,. SciTePress, 38-47. 2017

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Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams

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

Big Data (Big Data), 2017 IEEE International Conference on, 3841–3846. 2017

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Automated Anomaly Detection in Virtualized Services Using Deep Packet Inspection

Wallschläger, Marcel and Gulenko, Anton and Schmidt, Florian and Kao, Odej and Liu, Feng

Procedia Computer Science. Elsevier, 510–515. 2017

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Novel framework combining health records with medical algorithms

Schmidt, Florian and Hennig, Vincent and Köhler, Sarah and Wallschläger, Marcel and Gulenko, Anton and Schmidt, Hartmut and Kao, Odej

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 480–481. 2017

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2016

Selecting Resources for Distributed Dataflow Systems According to Runtime Targets

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

In the Proceedings of the 35th IEEE International Performance Computing and Communications Conference (IPCCC). IEEE, 1-8. 2016

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CoLoc: Distributed Data and Container Colocation for Data-Intensive Applications

Renner, Thomas and Thamsen, Lauritz and Kao, Odej

In the Proceedings of the 2016 IEEE International Conference on Big Data (BigData). IEEE, 3008-3015. 2016

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Record Skipping in Parallel Data Processing Systems

Mareike Höger and O. Kao

2016 International Conference on Cloud and Autonomic Computing (ICCAC), 107-110. 2016

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MAC Based Dynamic VLAN Tagging with OpenFlow for WLAN Access Networks

Koerner, Marc and Kao, Odej

Proceedings of the 1st International Workshop on Applications of Software-Defined Networking in CLoud Computing (SDNCC). Elsevier, 1-5. 2016

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When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink

Verbitskiy, Ilya and Thamsen, Lauritz and Kao, Odej

In the Proceedings of the 2nd IEEE International Conference on Cloud and Big Data Computing (CBDCom). IEEE, 698-705. 2016

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Continuously Improving the Resource Utilization of Iterative Parallel Dataflows

Thamsen, Lauritz and Renner, Thomas and Kao, Odej

In the Proceedings of the IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 1–6. 2016

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The ASCETiC testbed - An Energy Efficient Cloud Computing Environment

Koerner, Marc and Stanik, Alexander and Kao, Odej and Wallschaeger, Marcel and Becker, Soeren

Proceedings of the 11th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TRIDENTCOM). Springer, to appear. 2016

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Towards Seamless Integration of Software-Defined Networking within Distributed File Systems

Koerner, Marc and Kao, Odej

Proceedings of the International Conference on Cloud Computing Research and Innovation 2016 (ICCCRI). IEEE, 1–4. 2016

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Cooperative Device Cloud: A Resource Management Framework for the Internet of Things

Kliem, Andreas and Kao, Odej

Connectivity Frameworks for Smart Devices: The Internet of Things from a Distributed Computing Perspective. Springer International Publishing, 147–186. 2016

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High available deployment of cloud-based virtualized network functions

Makhsous, Saeed Haddadi and Gulenko, Anton and Kao, Odej and Liu, Feng

High Performance Computing & Simulation (HPCS), 2016 International Conference on, 468–475. 2016

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Aura: A Flexible Dataflow Engine for Scalable Data Processing

Herb, Tobias, and Thamsen, Lauritz and Renner, Thomas and Kao, Odej

Tools for High Performance Computing 2015: Proceedings of the 9th International Workshop on Parallel Tools for High Performance Computing, September 2015, Dresden, Germany. Springer, 117-126. 2016

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A System Architecture for Real-time Anomaly Detection in Large-scale NFV Systems

Gulenko, Anton and Wallschläger, Marcel and Schmidt, Florian and Kao, Odej and Liu, Feng

Procedia Computer Science. Elsevier} volume = {94, 491–496. 2016

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Progress Estimation in Parallel Data Processing Systems

Höger, Mareike and Kao, Odej

Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016 Intl IEEE Conferences, 690–697. 2016

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Evaluating machine learning algorithms for anomaly detection in clouds

Gulenko, Anton and Wallschläger, Marcel and Schmidt, Florian and Kao, Odej and Liu, Feng

Big Data (Big Data), 2016 IEEE International Conference on, 2716–2721. 2016

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2015

The Internet of Things Resource Management Challenge

A. Kliem and O. Kao

Internet of Things (iThings), 2015 8th IEEE International Conference on, 483-490. 2015

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Network-Aware Resource Management for Scalable Data Analytics Frameworks

Renner, Thomas and Thamsen, Lauritz and Kao, Odej

Proceedings of the 1st First Workshop on Data-Centric Infrastructure for Big Data Science (DIBS), co-located with the 2015 IEEE International Conference on BigData. IEEE, 2793–2800. 2015

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Evaluation of a Cloud Federation Based on Software Defined Networking

Koerner, Marc and Gaul, Constantin and Kao, Odej

Proceedings of the 40th IEEE Conference on Local Computer Networks (LCN). IEEE, 1–8. 2015

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Service-level agreement aggregation for quality of service-aware federated cloud networking

Stanik, Alexander and Koerner, Marc and Kao, Odej

IET Networks Journal. Institution of Engineering and Technology. 2015

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Design and Implementation of a Cloud-Federation Agent for Software Defined Networking

Gaul, Constantin and Koerner, Marc and Kao, Odej

Proceedings of 2015 IEEE International Conference on Cloud Engineering (IC2E 2015). IEEE, 323–328. 2015

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Elastic Stream Processing with Latency Guarantees

Lohrmann, B. and Janacik, P. and Kao, O.

The 35th International Conference on Distributed Computing Systems (ICDCS 2015) 2015

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Implicit Parallelism Through Deep Language Embedding

Alexandrov, Alexander and Kunft, Andreas and Katsifodimos, Asterios and Schüler, Felix and Thamsen, Lauritz and Kao, Odej and Herb, Tobias and Markl, Volker

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ACM, 47–61. 2015

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