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  1. University of Computer Studies, Yangon
  2. Conferences

Recovering Nodes Failure in Replica System by Using Data Replacement Algorithm in a HDFS Cluster

http://hdl.handle.net/20.500.12678/0000004234
http://hdl.handle.net/20.500.12678/0000004234
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9e9310b5-f180-474d-94fd-c6314a22ac6a
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20165.pdf 20165.pdf (187 Kb)
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Article
Upload type
Publication
Title
Title Recovering Nodes Failure in Replica System by Using Data Replacement Algorithm in a HDFS Cluster
Language en
Publication date 2016-02-25
Authors
Zaw, Myint
Oo, Khine Khine
Description
HDFS (Hadoop Distributed File System) isdesigned to store big data reliably, and it hasbeen distributed file. However, it is notreplacement for failure nodes. Replicationtechnology is a key component in everycomputing enterprise as it is essential toapplications such as backup, file distribution,file synchronization as well as file sharingcollaboration. The replacement concept is simplebut its algorithmic optimization and systemimplementations are challenging and difficult.Data Replacement Algorithm was implementedto make the replicas to get placed on failurenodes. As this system can reduce data failure andcannot affect other Data Nodes, it is morereliable and usable.
Keywords
Data Replacement Algorithm, Big Data, Hadoop, Map Reduce, HDFS (Hadoop Distributed File System), Replica System
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/193
Journal articles
Fourteenth International Conference On Computer Applications (ICCA 2016)
Conference papers
Books/reports/chapters
Thesis/dissertations
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