Data Movement Categories
- Zettar Inc., Mountain View, CA (United States)
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
We have endeavored to classify the commonly seen data movement needs, as observed in data-intensive institutions (both commercial and non-profit), into four categories. Knowing how to map a data movement task into one of the four categories helps select proper data mover tools. For each category, how the data storage is involved, high-level examples and the nature of typical solutions are described. Finally, some general remarks are provided to help further orient readers new to this field - the 4th IT pillar.
- Research Organization:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Zettar Inc., Mountain View, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- DOE Contract Number:
- AC02-76SF00515
- OSTI ID:
- 1756618
- Report Number(s):
- SLAC-TN--20-004
- Country of Publication:
- United States
- Language:
- English
Similar Records
Nation's opinions on the performance of the marketplace and the consumer movement
When to use rsync
Machine Learning to Improve Retrieval by Category in Big Volunteered Geodata
Journal Article
·
Sat Dec 31 23:00:00 EST 1977
· Electr. Perspect.; (United States)
·
OSTI ID:5174788
When to use rsync
Technical Report
·
Wed Mar 24 00:00:00 EDT 2021
·
OSTI ID:1772472
Machine Learning to Improve Retrieval by Category in Big Volunteered Geodata
Conference
·
Thu Nov 01 00:00:00 EDT 2018
·
OSTI ID:1490594