Performance Studies of Parallel Erasure Coding on Clustered Micro Storage Servers
Abstract
The objective of this presentation for the HPC mini showcase was to find effectiveness of erasure encoding done in parallel and then discover a possible solution to more cost effective storage.
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1296651
- Report Number(s):
- LA-UR-16-26123
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; Computer Hardware; Computer Science
Citation Formats
Egan, William Douglas, Coome, Samuel William, and Chen, Cheng. Performance Studies of Parallel Erasure Coding on Clustered Micro Storage Servers. United States: N. p., 2016.
Web. doi:10.2172/1296651.
Egan, William Douglas, Coome, Samuel William, & Chen, Cheng. Performance Studies of Parallel Erasure Coding on Clustered Micro Storage Servers. United States. https://doi.org/10.2172/1296651
Egan, William Douglas, Coome, Samuel William, and Chen, Cheng. 2016.
"Performance Studies of Parallel Erasure Coding on Clustered Micro Storage Servers". United States. https://doi.org/10.2172/1296651. https://www.osti.gov/servlets/purl/1296651.
@article{osti_1296651,
title = {Performance Studies of Parallel Erasure Coding on Clustered Micro Storage Servers},
author = {Egan, William Douglas and Coome, Samuel William and Chen, Cheng},
abstractNote = {The objective of this presentation for the HPC mini showcase was to find effectiveness of erasure encoding done in parallel and then discover a possible solution to more cost effective storage.},
doi = {10.2172/1296651},
url = {https://www.osti.gov/biblio/1296651},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Aug 08 00:00:00 EDT 2016},
month = {Mon Aug 08 00:00:00 EDT 2016}
}
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