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Niazi et al., 2017 - Google Patents

{HopsFS}: Scaling hierarchical file system metadata using {NewSQL} databases

Niazi et al., 2017

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Document ID
7721751303231968688
Author
Niazi S
Ismail M
Haridi S
Dowling J
Grohsschmiedt S
Ronström M
Publication year
Publication venue
15th USENIX Conference on File and Storage Technologies (FAST 17)

External Links

Snippet

Recent improvements in both the performance and scalability of shared-nothing, transactional, in-memory NewSQL databases have reopened the research question of whether distributed metadata for hierarchical file systems can be managed using commodity …
Continue reading at www.usenix.org (PDF) (other versions)

Classifications

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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30312Storage and indexing structures; Management thereof
    • G06F17/30321Indexing structures
    • G06F17/30336Indexing structures indexing structure managing details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30067File systems; File servers
    • G06F17/30129Details of further file system functionalities
    • G06F17/30144Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
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    • G06F11/16Error detection or correction of the data by redundancy in hardware
    • G06F11/20Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
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