Published February 1, 2022
| Version v1
Presentation
Open
Composition of a data-driven workflow in the cloud
Creators
- 1. University of Tennessee, Knoxville
- 2. University of Utah
- 3. Sandia National Labs
- 4. IBM-HCIR
Description
Platforms in the cloud have been tuned for service deployments; when used out of the shelf for scientific workflows, the performance decreases. We can leverage services deployments (e.g., Openshift, Kubernetes) to scale scientific workflows in an automated way
Files
Files
(18.0 MB)
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