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2020 – today
- 2021
[i1]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)
2010 – 2019
- 2019
- [c9]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 - [c8]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 - 2018
- [c7]Gerrit Jansen, Ilya Verbitskiy, Thomas Renner, Lauritz Thamsen:
Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources. IEEE BigData 2018: 5159-5164 - [c6]Ilya Verbitskiy, Lauritz Thamsen, Thomas Renner, Odej Kao:
CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters. CloudCom 2018: 81-88 - 2017
- [c5]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 - [c4]Lauritz Thamsen, Thomas Renner, Ilya Verbitskiy, Odej Kao:
Adaptive Resource Management for Distributed Data Analytics. TopHPC 2017: 155-170 - 2016
- [c3]Lauritz Thamsen, Ilya Verbitskiy, Florian Schmidt, Thomas Renner, Odej Kao:
Selecting resources for distributed dataflow systems according to runtime targets. IPCCC 2016: 1-8 - [c2]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
- [c1]Ilya Verbitskiy, Patrick Probst, Andreas Lommatzsch:
Development and Evaluation of a Highly Scalable News Recommender System. CLEF (Working Notes) 2015
Coauthor Index
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