Ilya Verbitskiy

According to our database, Ilya Verbitskiy authored at least 9 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.

Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures.

Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy, Odej Kao

Proceedings of the 3rd IEEE International Conference on Edge Computing, 2019

2018

CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters.

Ilya Verbitskiy, Lauritz Thamsen, Thomas Renner, Odej Kao

Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018

Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources.

Gerrit Jansen, Ilya Verbitskiy, Thomas Renner, Lauritz Thamsen

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Adaptive Resource Management for Distributed Data Analytics.

Lauritz Thamsen, Thomas Renner, Ilya Verbitskiy, Odej Kao

Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 2017

Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets.

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

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017

2016

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

Ilya Verbitskiy, Lauritz Thamsen, Odej Kao

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Selecting resources for distributed dataflow systems according to runtime targets.

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

Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016

2015

Development and Evaluation of a Highly Scalable News Recommender System.

Ilya Verbitskiy, Patrick Probst, Andreas Lommatzsch

Proceedings of the Working Notes of CLEF 2015, 2015