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Vernik et al., 2018 - Google Patents

Stocator: Providing high performance and fault tolerance for apache spark over object storage

Vernik et al., 2018

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Document ID
3529582268699726904
Author
Vernik G
Factor M
Kolodner E
Michiardi P
Ofer E
Pace F
Publication year
Publication venue
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

External Links

Snippet

Until now object storage has not been a first-class citizen of the Apache Hadoop ecosystem including Apache Spark. Hadoop connectors to object storage have been based on file semantics, an impedance mismatch, which leads to low performance and the need for an …
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Classifications

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    • G06F9/4806Task transfer initiation or dispatching
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    • GPHYSICS
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    • G06F9/44Arrangements for executing specific programmes
    • G06F9/455Emulation; Software simulation, i.e. virtualisation or emulation of application or operating system execution engines
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    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30575Replication, distribution or synchronisation of data between databases or within a distributed database; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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