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TU Berlin

Inhalt des Dokuments

Publikationen Prof. Odej Kao

Employing WS-BPEL Design Patterns for Grid Service Orchestration using a Standard WS-BPEL Engine and a Grid Middleware

Stefan Gudenkauf and Wilhelm Hasselbring and André Höing and Odej Kao and Guido Scherp and Holger Nitsche and Holger Karl and Andre Brinkmann

The 8th Cracow Grid Workshop. Academic Computer Center CYFRONET AGH, 103 – 110. 2009

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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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Using UNICORE and WS-BPEL for Scientific Workflow Execution in Grid Environments

Gudenkauf, Stefan and Hasselbring, Wilhelm and Höing, André and Scherp, Guido and Odej Kao

Euro-Par 2009 Workshops - Parallel Processing, 335–344. 2010

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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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Workflow Service Extensions for UNICORE 6 - Utilising a Standard WS-BPEL Engine for Grid Service Orchestration

Gudenkauf, Stefan and Hasselbring, Wilhelm and Höing, André and Scherp, Guido and Odej Kao

Euro-Par 2008 Workshops - Parallel Processing, 103-112. 2009

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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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A Software Architecture for Grid Utilisation in Business Workflows

Stefan Gudenkauf and Wilhelm Hasselbring and Felix Heine and André Höing and Odej Kao and Guido Scherp

Multikonferenz Wirtschaftsinformatik 2008, 91-102. 2008

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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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BIS-Grid: Business Workflows for the Grid

Stefan Gudenkauf and Wilhelm Hasselbring and Felix Heine and André Höing and Odej Kao and Guido Scherp

The 7th Cracow Grid Workshop. Academic Computer Center CYFRONET AGH, 86-93. 2008

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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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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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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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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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HPC4U: Providing Highly Predictable and SLA-aware Clusters for the Next Generation Grid

Felix Heine and Matthias Hovestadt and Odej Kao

The 4th Cracow Grid Workshop. Academic Computer Center CYFRONET AGH, 32-38. 2004

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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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Towards Ontology-Driven P2P Grid Resource Discovery

Felix Heine and Matthias Hovestadt and Odej Kao

5th IEEE/ACM International Workshop on Grid Computing. IEEE Computer Society, 76-83. 2004

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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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Processing complex RDF queries over P2P networks

Felix Heine and Matthias Hovestadt and Odej Kao

P2PIR'05: Proceedings of the 2005 ACM workshop on Information retrieval in peer-to-peer networks. ACM Press, 41-48. 2005

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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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SLA-aware Job Migration in Grid Environments

Felix Heine and Matthias Hovestadt and Odej Kao and Axel Keller

Grid Computing: New Frontiers of High Performance Computing. Elsevier, 185-201. 2005

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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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Provision of Fault Tolerance with Grid-enabled and SLA-aware Resource Management Systems

Felix Heine and Matthias Hovestadt and Odej Kao and Axel Keller

Parallel Computing: Current and Future Issues of High End Computing. NIC-Directors, 113-120. 2005

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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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Early Experiences on Application Checkpointing for Realizing QoS Provision

Felix Heine and Matthias Hovestadt and Odej Kao and and Oliver Marquardt

Proceedings of the Cracow Grid Workshop 2005

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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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On the Impact of Reservations from the Grid on Planning-Based Resource Management

Felix Heine and Matthias Hovestadt and Odej Kao and Achim Streit

Computational Science – ICCS 2005. Springer, 155-162. 2005

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PeerThing: P2P-based Semantic Resource Discovery

Felix Heine and Matthias Hovestadt and Odej Kao and Kerstin Voss

The 5th Cracow Grid Workshop. Academic Computer Center CYFRONET AGH, 32-38. 2005

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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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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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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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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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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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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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Identity managemnt for complex Cloud infrastructures

Thomas Hildmann and Matthias Hovestadt and Odej Kao

Proceedings of the 2012 Workshop on Data Engineering. Springer. 2012

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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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Deploying and extending on-premise cloud storage based on ownCloud

Thomas Hildmann and Odej Kao

Proceedings of DCPerf 2014, The 4th international workshop on Data Center Performance. IEEE Publishers. 2014

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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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Identity Management for the TUB Cloud

Hildmann, Thomas and Kao, Odej and Ritter, Christopher

Proceedings of the 19th European Information Systems Congress EUNIS 2013. RTU Press, 121-124. 2013

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Rollenbasierte Identit�ts- und Autorisierungsverwaltung an der TU Berlin

Thomas Hildmann and Odej Kao and Christopher Ritter

Proceedings 1. DFN-Forum Kommunikationstechnologien Verteilte Systeme im Wissenschaftsbereich. GI-Verlag, 97-106. 2008

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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

IoTSPT-ML 2020: 10th International Workshop on Security, Privacy, Trust, and Machine Learning for IoT. IEEE, To appear. 2020

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eXtreme Role Engineering: Ein neuer Ansatz zur Rechtedefinition und -vergabe

Thomas Hildmann and Odej Kao and Christopher Ritter

Proceedings der GI Tagung Sicherheit 2008. GI-Verlag, 569-574. 2008

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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

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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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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, To appear. 2020

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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, To appear. 2020

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