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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/20.500.12678/0000004234e640f1fc-6926-4ebf-b1a3-f5c98f37bb2b
9e9310b5-f180-474d-94fd-c6314a22ac6a
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Article | ||||||
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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 |