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Title: 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:
 [1];  [2]
  1. Zettar Inc., Mountain View, CA (United States)
  2. 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}
}