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Title: Data Movement Categories

Technical Report ·
DOI:· OSTI ID:1756618
 [1];  [2]
  1. Zettar Inc., Mountain View, CA (United States)
  2. 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:
Report Number(s):
SLAC-TN-20-004; TRN: US2214813
Country of Publication:
United States