Predicting Dynamic Memory Requirements for Scientific Workflow Tasks-Reference-Cited by-同舟云学术

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Predicting Dynamic Memory Requirements for Scientific Workflow Tasks

Published:2023-12-15 Issue: Volume: Page:182-189
ISSN:
Container-title:2023 IEEE International Conference on Big Data (BigData)
language:
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Author:

Bader Jonathan¹,Diedrich Nils¹,Thamsen Lauritz²,Kao Odej¹

Affiliation:

1. Technische Universität,Berlin,Germany

2. University of Glasgow,United Kingdom

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386837.pdf?arnumber=10386837

Reference26 articles.

1. Building the World's Largest Radio Telescope: The Square Kilometre Array Science Data Processor

2. The ATLAS Data Management System Rucio: Supporting LHC Run-2 and beyond

3. Workflows community summit 2022: A roadmap revolution;da Silva;arXiv preprint arXiv:2304.00019,2023

4. Towards Advanced Monitoring for Scientific Workflows

5. The future of scientific workflows

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