Published October 1, 2022
| Version v1
Presentation
Open
Tuning Object Storage for Scientific Workflows on Cloud Computational Services
Creators
- 1. University of Tennessee, Knoxville
- 2. University of Delaware
- 3. Sandia National Lab
- 4. IBM-HCIR
Description
What cutting-edge storage technology is available to deal with data?
Can we leverage services deployment platforms for scientific workflows?
How do we tune the storage and deployment platforms?
Files
Files
(25.6 MB)
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md5:8e61a041f863ea0be1cb60c2c7d815c1
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25.6 MB | Download |