Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs

16 November 2020

Papers citing "Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs"

9 / 9 papers shown

Title
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing Jonathan Will L. Thamsen Jonathan Bader Dominik Scheinert O. Kao 22 4 0 08 Nov 2022
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing Jonathan Will L. Thamsen Jonathan Bader Dominik Scheinert O. Kao 28 8 0 28 Jun 2022
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview L. Thamsen Dominik Scheinert Jonathan Will Jonathan Bader O. Kao 19 3 0 01 Jun 2022
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds Dominik Scheinert Alireza Alamgiralem Jonathan Bader Jonathan Will Thorsten Wittkopp L. Thamsen 20 10 0 16 Nov 2021
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud Jonathan Will Onur Arslan Jonathan Bader Dominik Scheinert L. Thamsen 24 4 0 15 Nov 2021
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters Jonathan Bader L. Thamsen S. Kulagina Jonathan Will Henning Meyerhenke O. Kao 16 22 0 09 Nov 2021
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation Dominik Scheinert Houkun Zhu L. Thamsen Morgan K. Geldenhuys Jonathan Will Alexander Acker O. Kao 24 11 0 27 Aug 2021
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts Dominik Scheinert L. Thamsen Houkun Zhu Jonathan Will Alexander Acker Thorsten Wittkopp O. Kao 32 15 0 29 Jul 2021
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds Jonathan Will L. Thamsen Dominik Scheinert Jonathan Bader O. Kao 21 15 0 28 Jul 2021