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Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across
  Contexts

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts

29 July 2021
Dominik Scheinert
L. Thamsen
Houkun Zhu
Jonathan Will
Alexander Acker
Thorsten Wittkopp
O. Kao
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Papers citing "Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts"

11 / 11 papers shown
Title
Towards a Peer-to-Peer Data Distribution Layer for Efficient and
  Collaborative Resource Optimization of Distributed Dataflow Applications
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
Dominik Scheinert
Soeren Becker
Jonathan Will
Luis Englaender
L. Thamsen
22
0
0
24 Nov 2023
Karasu: A Collaborative Approach to Efficient Cluster Configuration for
  Big Data Analytics
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics
Dominik Scheinert
Philipp Wiesner
Thorsten Wittkopp
L. Thamsen
Jonathan Will
O. Kao
18
1
0
22 Aug 2023
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big
  Data Analytics
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
Dominik Scheinert
Soeren Becker
Jonathan Bader
L. Thamsen
Jonathan Will
O. Kao
14
3
0
15 Nov 2022
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for
  Big Data Processing
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
Jonathan Will
L. Thamsen
Jonathan Bader
Dominik Scheinert
O. Kao
16
4
0
08 Nov 2022
Get Your Memory Right: The Crispy Resource Allocation Assistant for
  Large-Scale Data Processing
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
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview
L. Thamsen
Dominik Scheinert
Jonathan Will
Jonathan Bader
O. Kao
16
3
0
01 Jun 2022
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in
  Heterogeneous Clusters
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters
Jonathan Bader
Fabian Lehmann
L. Thamsen
Jonathan Will
Ulf Leser
O. Kao
35
16
0
23 May 2022
On the Potential of Execution Traces for Batch Processing Workload
  Optimization in Public Clouds
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
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
Jonathan Will
Onur Arslan
Jonathan Bader
Dominik Scheinert
L. Thamsen
22
4
0
15 Nov 2021
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using
  Graph Propagation
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
22
11
0
27 Aug 2021
C3O: Collaborative Cluster Configuration Optimization for Distributed
  Data Processing in Public Clouds
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
Jonathan Will
L. Thamsen
Dominik Scheinert
Jonathan Bader
O. Kao
17
15
0
28 Jul 2021
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