Published February 1, 2022 | Version v1
Presentation Open

Composition of a data-driven workflow in the cloud

  • 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)

Name Size Download all
md5:baabc680c8536506b50ac3dfec03402b
18.0 MB Download