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Publikationen Prof. Odej Kao

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A linear Programming Approach for Workload Balancing in Distributed Systems based on the Divisible Task Model

Silke Schomann and Frank Drews and Odej Kao

Proceedings of the Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2003), 286–292. 2003

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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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Hardware as a Service (HaaS): Physical and Virtual Hardware on demand

Stanik, Alexander and Hovestadt, Matthias and Kao, Odej

Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on. IEEE publishers, 149–154. 2012

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Hardware as a Service (HaaS): The Completion of the Cloud Stack

Stanik, Alexander and Hovestadt, Matthias and Kao, Odej

Proceedings of the 3rd Intl. Conference on Next Generation Information Technology (ICNIT). IEEE publishers, 830–836. 2012

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Failover Pattern with a Self-Healing Mechanism for High Availability Cloud Solutions

Stanik, Alexander and Höger, Mareike and Kao, Odej

Cloud Computing and Big Data (CLOUDCOM-ASIA), Proceedings of the 2013 International Conference on, 23–29. 2013

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Autonomous Agreement-Mediation based on WS-Agreement for improving Cloud SLAs

Stanik, Alexander and Sander, Fridtjof and Kao, Odej

Cloud Computing Technology and Science (CloudCom), Proceedings of the 2014 IEEE 6th International Conference on. IEEE Computer Society, 583–590. 2014

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MO-BIZZ: Fostering Mobile Business through Enhanced Cloud Solutions

Stanik, Alexander and Kao, Odej and Martins, Rui and Cruz, Antonio and Tektonidis, Dimitrios

Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on. IEEE Computer Society, 915–922. 2014

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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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Strategies for Data Replication and Data Recovery in Distributed Image Databases

Stephan Stapel and Odej Kao

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 970–976. 2002

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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

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The Effects of Partial Restarts in Evolutionary Search

Ingo la Tendresse and Jens Gottlieb and Odej Kao

Proceedings of the 5th International Conference on Artificial Evolution 2001, Also published as selected paper in LNCS 2310: Artificial Evolution 2001, 117–127. 2002

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Mosaic-based Sketching Interface for Image Databases

Ingo la Tendresse and Odej Kao

Journal of Visual Languages and Computing. Elsevier, 275�293. 2004

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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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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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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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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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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

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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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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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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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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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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, 1–6. 2018

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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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Nephele: Efficient Parallel Data Processing in the Cloud

Daniel Warneke and Odej Kao

MTAGS '09: Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers. ACM, 1–10. 2009

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Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud

Daniel Warneke and Odej Kao

Parallel and Distributed Systems, IEEE Transactions on. IEEE Press, 985–997. 2011

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Search for Similar Scenes in Newsfeeds based on Image Warping Techniques

C. Werner and Odej Kao and Ingo la Tendresse and M. Zibull

Proceedings of the International Conference on Imaging Science, Systems, and Technology, 542–548. 2003

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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

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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

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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

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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

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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, 491–496. 2016

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