Data Movement Categories
Abstract
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.
- Authors:
-
- Zettar Inc., Mountain View, CA (United States)
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Publication Date:
- Research Org.:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Zettar Inc., Mountain View, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1756618
- Report Number(s):
- SLAC-TN-20-004
TRN: US2214813
- DOE Contract Number:
- AC02-76SF00515
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS; data storage; intrinsically scale-out; data movements; firewall; data compression; software is hard; software lifetime
Citation Formats
Fang, Chin, and Cottrell, Les. Data Movement Categories. United States: N. p., 2021.
Web. doi:10.2172/1756618.
Fang, Chin, & Cottrell, Les. Data Movement Categories. United States. https://doi.org/10.2172/1756618
Fang, Chin, and Cottrell, Les. 2021.
"Data Movement Categories". United States. https://doi.org/10.2172/1756618. https://www.osti.gov/servlets/purl/1756618.
@article{osti_1756618,
title = {Data Movement Categories},
author = {Fang, Chin and Cottrell, Les},
abstractNote = {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.},
doi = {10.2172/1756618},
url = {https://www.osti.gov/biblio/1756618},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 12 00:00:00 EST 2021},
month = {Tue Jan 12 00:00:00 EST 2021}
}
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