ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.05167
  4. Cited By
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows
  in Heterogeneous Clusters

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters

9 November 2021
Jonathan Bader
L. Thamsen
S. Kulagina
Jonathan Will
Henning Meyerhenke
O. Kao
ArXivPDFHTML

Papers citing "Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters"

15 / 15 papers shown
Title
KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge
  Collaboration Framework
KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
Chenggang Shan
Runze Gao
Qing Han
Zhen Yang
Jinhui Zhang
Yuanqing Xia
14
1
0
02 Jan 2024
The Common Workflow Scheduler Interface: Status Quo and Future Plans
The Common Workflow Scheduler Interface: Status Quo and Future Plans
Fabian Lehmann
Jonathan Bader
Ramani Kothadia
Ulf Leser
34
3
0
27 Nov 2023
How Workflow Engines Should Talk to Resource Managers: A Proposal for a
  Common Workflow Scheduling Interface
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface
Fabian Lehmann
Jonathan Bader
Friedrich Tschirpke
L. Thamsen
Ulf Leser
13
14
0
15 Feb 2023
Adaptive Resource Allocation for Workflow Containerization on Kubernetes
Adaptive Resource Allocation for Workflow Containerization on Kubernetes
Chenggang Shan
Chu-ge Wu
Yuanqing Xia
Zehua Guo
Dan Liu
Jinhui Zhang
19
7
0
20 Jan 2023
Towards Advanced Monitoring for Scientific Workflows
Towards Advanced Monitoring for Scientific Workflows
Jonathan Bader
Joel Witzke
Soeren Becker
Ansgar Losser
Fabian Lehmann
Leon Doehler
Anh Duc Vu
O. Kao
27
8
0
23 Nov 2022
Leveraging Reinforcement Learning for Task Resource Allocation in
  Scientific Workflows
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows
Jonathan Bader
Nicolas Zunker
Soeren Becker
O. Kao
21
8
0
22 Nov 2022
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
Macaw: The Machine Learning Magnetometer Calibration Workflow
Macaw: The Machine Learning Magnetometer Calibration Workflow
Jonathan Bader
K. Styp-Rekowski
Leon Doehler
Soeren Becker
O. Kao
50
4
0
17 Oct 2022
WfBench: Automated Generation of Scientific Workflow Benchmarks
WfBench: Automated Generation of Scientific Workflow Benchmarks
T. Coleman
Henri Casanova
Ketan Maheshwari
L. Pottier
Sean R. Wilkinson
Justin M. Wozniak
Frédéric Suter
M. Shankar
Rafael Ferreira da Silva
17
14
0
06 Oct 2022
Reshi: Recommending Resources for Scientific Workflow Tasks on
  Heterogeneous Infrastructures
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures
Jonathan Bader
Fabian Lehmann
Alexander Groth
L. Thamsen
Dominik Scheinert
Jonathan Will
Ulf Leser
O. Kao
8
8
0
16 Aug 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
19
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
24
4
0
15 Nov 2021
1