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Pragna, 2017 - Google Patents

High performance fault-tolerant hadoop distributed file system

Pragna, 2017

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Document ID
15557216438509806953
Author
Pragna Y
Publication year
Publication venue
International Journal on Recent and Innovation Trends in Computing and Communication

External Links

Snippet

The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. Huge amounts of data generated from many sources daily. Maintenance of such data is a challenging task …
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Classifications

The classifications are assigned by a computer and are not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the classifications listed.
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    • G06F17/30067—File systems; File servers
    • G06F17/30182—File system types
    • G06F17/30194—Distributed file systems
    • G06F17/30212—Distributed file systems implemented as replicated file system
    • G06F17/30215—Details of management specifically adapted to replicated file systems
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    • G06F11/2023—Error 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 where processing functionality is redundant details of failing over
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    • G06F11/2053—Error 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 where persistent mass storage functionality or persistent mass storage control functionality is redundant
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    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring

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