Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDOdej Kao
Person information
- affiliation: TU Berlin, Eletrical Engineering and Computer Science
- affiliation: University of Paderborn, Department of Computer Science
- affiliation: TU Clausthal, Department of Computer Science
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[c188]Daniel Habenicht, Kevin Kreutz, Sören Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao:
SyncMesh: improving data locality for function-as-a-service in meshed edge networks. EdgeSys@EuroSys 2022: 55-60- [c187]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. HICSS 2022: 1-10 - [i33]Sören Becker, Dominik Scheinert, Florian Schmidt, Odej Kao:
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. CoRR abs/2203.05362 (2022) - [i32]Daniel Habenicht, Kevin Kreutz, Sören Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao:
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks. CoRR abs/2203.14801 (2022) - [i31]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
Data-Driven Approach for Log Instruction Quality Assessment. CoRR abs/2204.02618 (2022) - [i30]Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao:
Failure Identification from Unstable Log Data using Deep Learning. CoRR abs/2204.02636 (2022) - [i29]Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao:
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. CoRR abs/2204.08846 (2022) - [i28]Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao:
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. CoRR abs/2205.02895 (2022) - 2021
- [j15]Lauritz Thamsen
, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao:
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. Concurr. Comput. Pract. Exp. 33(18) (2021) - [j14]Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich:
The Collaborative Research Center FONDA. Datenbank-Spektrum 21(3): 255-260 (2021) - [c186]Li Wu, Johan Tordsson, Erik Elmroth, Odej Kao:
Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations. ACSOS 2021: 21-30 - [c185]Sören Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. ACSOS 2021: 41-50 - [c184]Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. IEEE BigData 2021: 65-75 - [c183]Kevin Styp-Rekowski, Claudia Stolle, Ingo Michaelis, Odej Kao:
Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data. IEEE BigData 2021: 5283-5290 - [c182]Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao:
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CCGRID 2021: 634-641 - [c181]Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao:
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER 2021: 261-270 - [c180]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. IC2E 2021: 43-52 - [c179]Sören Becker, Florian Schmidt, Odej Kao:
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. IPCCC 2021: 1-8 - [c178]Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao:
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. IPCCC 2021: 1-8 - [e1]Hakim Hacid, Odej Kao, Massimo Mecella, Naouel Moha, Hye-young Paik:
Service-Oriented Computing - 19th International Conference, ICSOC 2021, Virtual Event, November 22-25, 2021, Proceedings. Lecture Notes in Computer Science 13121, Springer 2021, ISBN 978-3-030-91430-1 [contents] - [i27]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Sören Becker, Jorge Cardoso, Odej Kao:
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR abs/2101.06054 (2021) - [i26]Kevin Styp-Rekowski, Florian Schmidt, Odej Kao:
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. CoRR abs/2101.10037 (2021) - [i25]Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao:
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. CoRR abs/2101.11539 (2021) - [i24]Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao:
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? CoRR abs/2102.05559 (2021) - [i23]Morgan Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao:
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. CoRR abs/2102.06094 (2021) - [i22]Morgan Geldenhuys, Lauritz Thamsen, Odej Kao:
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. CoRR abs/2102.06170 (2021) - [i21]Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose:
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. CoRR abs/2102.07199 (2021) - [i20]Sören Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao:
Towards AIOps in Edge Computing Environments. CoRR abs/2102.09001 (2021) - [i19]Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao:
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models. CoRR abs/2102.11570 (2021) - [i18]Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao:
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. CoRR abs/2103.05245 (2021) - [i17]Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao:
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CoRR abs/2103.06026 (2021) - [i16]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. CoRR abs/2107.13317 (2021) - [i15]Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao:
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CoRR abs/2107.13921 (2021) - [i14]Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao:
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. CoRR abs/2108.12211 (2021) - [i13]Morgan K. Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. CoRR abs/2109.02340 (2021) - [i12]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. CoRR abs/2109.09537 (2021) - [i11]Sören Becker, Florian Schmidt, Odej Kao:
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. CoRR abs/2109.12983 (2021) - [i10]Sören Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. CoRR abs/2109.13009 (2021) - [i9]Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. CoRR abs/2111.05167 (2021) - [i8]Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao:
A Taxonomy of Anomalies in Log Data. CoRR abs/2111.13462 (2021) - 2020
- [c177]Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker, Odej Kao:
Bitflow: An In Situ Stream Processing Framework. ACSOS Companion 2020: 182-187 - [c176]Morgan K. Geldenhuys, Lauritz Thamsen, Odej Kao:
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. IEEE BigData 2020: 434-440 - [c175]Kevin Styp-Rekowski, Florian Schmidt, Odej Kao:
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. IEEE BigData 2020: 2217-2222 - [c174]Sören Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao:
Towards AIOps in Edge Computing Environments. IEEE BigData 2020: 3470-3475 - [c173]Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao:
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. IEEE BigData 2020: 4093-4102 - [c172]Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Sören Becker, Jorge Cardoso, Odej Kao:
Multi-source Distributed System Data for AI-Powered Analytics. ESOCC 2020: 161-176 - [c171]Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao:
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. FedCSIS 2020: 7-10 - [c170]Anton Gulenko, Alexander Acker, Odej Kao, Feng Liu:
AI-Governance and Levels of Automation for AIOps-supported System Administration. ICCCN 2020: 1-6 - [c169]Felix Lorenz, Lauritz Thamsen, Andreas Wilke, Ilja Behnke, Jens Waldmüller-Littke, Ilya Komarov, Odej Kao, Manfred Paeschke:
Fingerprinting Analog IoT Sensors for Secret-Free Authentication. ICCCN 2020: 1-6 - [c168]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. ICDM 2020: 1196-1201 - [c167]Li Wu, Jasmin Bogatinovski, Sasho Nedelkoski, Johan Tordsson, Odej Kao:
Performance Diagnosis in Cloud Microservices Using Deep Learning. ICSOC Workshops 2020: 85-96 - [c166]Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao:
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? IPCCC 2020: 1-6 - [c165]Sasho Nedelkoski, Mihail Bogojeski, Odej Kao:
Learning More Expressive Joint Distributions in Multimodal Variational Methods. LOD (1) 2020: 137-149 - [c164]Li Wu, Johan Tordsson, Erik Elmroth, Odej Kao:
MicroRCA: Root Cause Localization of Performance Issues in Microservices. NOMS 2020: 1-9 - [c163]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-supervised Log Parsing. ECML/PKDD (4) 2020: 122-138 - [c162]Li Wu, Johan Tordsson, Alexander Acker, Odej Kao:
MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems. UCC 2020: 227-236 - [c161]Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Self-Supervised Anomaly Detection from Distributed Traces. UCC 2020: 342-347 - [i7]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Supervised Log Parsing. CoRR abs/2003.07905 (2020) - [i6]Felix Lorenz, Lauritz Thamsen, Andreas Wilke, Ilja Behnke, Jens Waldmüller-Littke, Ilya Komarov, Odej Kao, Manfred Paeschke:
Fingerprinting Analog IoT Sensors for Secret-Free Authentication. CoRR abs/2006.06296 (2020) - [i5]Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger:
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR abs/2006.08368 (2020) - [i4]Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao:
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. CoRR abs/2007.03568 (2020) - [i3]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. CoRR abs/2008.09340 (2020) - [i2]Sasho Nedelkoski, Mihail Bogojeski, Odej Kao:
Learning more expressive joint distributions in multimodal variational methods. CoRR abs/2009.03651 (2020)
2010 – 2019
- 2019
- [c160]Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Anomaly Detection from System Tracing Data Using Multimodal Deep Learning. CLOUD 2019: 179-186 - [c159]Morgan K. Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao:
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. IEEE BigData 2019: 4157-4162 - [c158]Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Anomaly Detection and Classification using Distributed Tracing and Deep Learning. CCGRID 2019: 241-250 - [c157]Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy, Odej Kao:
Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures. EDGE 2019: 8-12 - [c156]Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose:
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. Euro-Par Workshops 2019: 519-530 - [c155]Marcel Wallschläger, Alexander Acker, Odej Kao:
Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring. ICCSA (1) 2019: 241-256 - [c154]Anton Gulenko, Odej Kao, Florian Schmidt:
Anomaly Detection and Levels of Automation for AI-Supported System Administration. SIMBig 2019: 1-7 - [c153]Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao:
Graph-based Feature Selection Filter Utilizing Maximal Cliques. SNAMS 2019: 297-302 - [c152]Ilja Behnke, Lauritz Thamsen, Odej Kao:
Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds. UCC Companion 2019: 15-20 - 2018
- [j13]Neil Y. Yen, Ching-Hsien Hsu, Qun Jin, Odej Kao:
Special issue on "Advances in human-like intelligence towards next-generation web". Neurocomputing 279: 1-2 (2018) - [j12]Han-Chieh Chao, Douglas E. Comer, Odej Kao:
Space and Terrestrial Integrated Networks: Emerging Research Advances, Prospects, and Challenges. IEEE Netw. 33(1): 6-7 (2018) - [c151]Anton Gulenko, Florian Schmidt, Alexander Acker, Marcel Wallschläger, Odej Kao, Feng Liu:
Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering. IEEE CLOUD 2018: 912-915 - [c150]Ilya Verbitskiy, Lauritz Thamsen, Thomas Renner, Odej Kao:
CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters. CloudCom 2018: 81-88 - [c149]Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao:
Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima. CloudCom 2018: 278-283 - [c148]Alexander Acker, Florian Schmidt, Anton Gulenko, Odej Kao:
Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems. CloudCom 2018: 290-295 - [c147]Anton Gulenko, Marcel Wallschläger, Odej Kao:
A Practical Implementation of In-Band Network Telemetry in Open vSwitch. CloudNet 2018: 1-4 - [c146]Marcel Wallschläger, Anton Gulenko, Florian Schmidt, Alexander Acker, Odej Kao:
Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution. CloudNet 2018: 1-6 - [c145]Florian Schmidt, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Vincent Hennig, Feng Liu, Odej Kao:
IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services. ICWS 2018: 187-194 - [c144]Thomas Renner, Johannes Müller, Odej Kao:
Endolith: A Blockchain-Based Framework to Enhance Data Retention in Cloud Storages. PDP 2018: 627-634 - [c143]Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao:
Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima. UCC Companion 2018: 71-76 - 2017
- [c142]Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, Odej Kao:
Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. BigData Congress 2017: 145-152 - [c141]Alexander Acker, Florian Schmidt, Anton Gulenko, Reinhard Kietzmann, Odej Kao:
Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams. IEEE BigData 2017: 3841-3846 - [c140]Thomas Renner, Johannes Müller, Lauritz Thamsen, Odej Kao:
Addressing Hadoop's Small File Problem With an Appendable Archive File Format. Conf. Computing Frontiers 2017: 367-372 - [c139]Lauritz Thamsen, Ilya Verbitskiy, Jossekin Beilharz, Thomas Renner, Andreas Polze, Odej Kao:
Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets. CloudCom 2017: 146-153 - [c138]Thomas Renner, Lauritz Thamsen, Odej Kao:
Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring. DATA 2017: 38-47 - [c137]Marcel Wallschläger, Anton Gulenko, Florian Schmidt, Odej Kao, Feng Liu:
Automated Anomaly Detection in Virtualized Services Using Deep Packet Inspection. FNC/MobiSPC 2017: 510-515 - [c136]Jannis Koch, Lauritz Thamsen, Florian Schmidt, Odej Kao:
SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows. PDCAT 2017: 156-163 - [c135]Florian Schmidt, Vincent Hennig, Sarah Köhler, Marcel Wallschläger, Anton Gulenko, Hartmut Schmidt, Odej Kao:
Novel framework combining health records with medical algorithms. PervasiveHealth 2017: 480-481 - [c134]Lauritz Thamsen, Thomas Renner, Ilya Verbitskiy, Odej Kao:
Adaptive Resource Management for Distributed Data Analytics. TopHPC 2017: 155-170 - 2016
- [c133]Anton Gulenko, Marcel Wallschläger, Florian Schmidt, Odej Kao, Feng Liu:
Evaluating machine learning algorithms for anomaly detection in clouds. IEEE BigData 2016: 2716-2721 - [c132]Thomas Renner, Lauritz Thamsen, Odej Kao:
CoLoc: Distributed data and container colocation for data-intensive applications. IEEE BigData 2016: 3008-3015 - [c131]Anton Gulenko, Marcel Wallschläger, Florian Schmidt, Odej Kao, Feng Liu:
A System Architecture for Real-time Anomaly Detection in Large-scale NFV Systems. FNC/MobiSPC 2016: 491-496 - [c130]Marc Koerner, Odej Kao:
MAC Based Dynamic VLAN Tagging with OpenFlow for WLAN Access Networks. FNC/MobiSPC 2016: 497-501 - [c129]Mareike Höger, Odej Kao:
Record Skipping in Parallel Data Processing Systems. ICCAC 2016: 107-110 - [c128]Lauritz Thamsen, Thomas Renner, Odej Kao:
Continuously Improving the Resource Utilization of Iterative Parallel Dataflows. ICDCS Workshops 2016: 1-6 - [c127]Saeed Haddadi Makhsous, Anton Gulenko, Odej Kao, Feng Liu:
High available deployment of cloud-based virtualized network functions. HPCS 2016: 468-475 - [c126]Alexander Stanik, Odej Kao:
A proposal for REST with XMPP as base protocol for intercloud communication. IISA 2016: 1-6 - [c125]Lauritz Thamsen, Ilya Verbitskiy, Florian Schmidt, Thomas Renner, Odej Kao:
Selecting resources for distributed dataflow systems according to runtime targets. IPCCC 2016: 1-8 - [c124]Marc Körner, Alexander Stanik, Odej Kao, Marcel Wallschläger, Sören Becker:
The ASCETiC Testbed - An Energy Efficient Cloud Computing Environment. TRIDENTCOM 2016: 93-102 - [c123]Mareike Höger, Odej Kao:
Progress Estimation in Parallel Data Processing Systems. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 690-697 - [c122]Ilya Verbitskiy, Lauritz Thamsen, Odej Kao:
When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 698-705 - 2015
- [j11]Alexander Stanik, Marc Körner, Odej Kao:
Service-level agreement aggregation for quality of service-aware federated cloud networking. IET Networks 4(5): 264-269 (2015) - [j10]Neil Y. Yen, Odej Kao, Hai Jiang, Jason C. Hung:
Emergence in User Experience and Quality of Service for Internet of Things. Int. J. Distributed Sens. Networks 11: 807121:1 (2015) - [c121]Thomas Renner, Lauritz Thamsen, Odej Kao:
Network-aware resource management for scalable data analytics frameworks. IEEE BigData 2015: 2793-2800 - [c120]Andreas Kliem, Odej Kao:
The Internet of Things Resource Management Challenge. DSDIS 2015: 483-490 - [c119]Constantin Gaul, Marc Koerner, Odej Kao:
Design and Implementation of a Cloud-Federation Agent for Software Defined Networking. IC2E 2015: 323-328 - [c118]Björn Lohrmann, Peter Janacik, Odej Kao:
Elastic Stream Processing with Latency Guarantees. ICDCS 2015: 399-410 - [c117]Marc Koerner, Constantin Gaul, Odej Kao:
Evaluation of a cloud federation approach based on Software Defined Networking. LCN Workshops 2015: 657-664 - [c116]Alexander Alexandrov, Andreas Kunft, Asterios Katsifodimos, Felix Schüler, Lauritz Thamsen, Odej Kao, Tobias Herb, Volker Markl:
Implicit Parallelism through Deep Language Embedding. SIGMOD Conference 2015: 47-61 - 2014
- [j9]Björn Lohrmann, Daniel Warneke, Odej Kao:
Nephele streaming: stream processing under QoS constraints at scale. Clust. Comput. 17(1): 61-78 (2014) - [j8]Alexander Alexandrov, Rico Bergmann, Stephan Ewen, Johann-Christoph Freytag, Fabian Hueske, Arvid Heise, Odej Kao, Marcus Leich, Ulf Leser, Volker Markl, Felix Naumann, Mathias Peters, Astrid Rheinländer, Matthias J. Sax, Sebastian Schelter, Mareike Höger, Kostas Tzoumas, Daniel Warneke:
The Stratosphere platform for big data analytics. VLDB J. 23(6): 939-964 (2014) - [c115]Alexander Stanik, Odej Kao, Rui Martins, Antonio Cruz, Dimitrios Tektonidis:
MO-BIZZ: Fostering Mobile Business through Enhanced Cloud Solutions. CCGRID 2014: 915-922 - [c114]