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Replication Based on Data Locality for Hadoop Distributed File System

http://hdl.handle.net/20.500.12678/0000005022
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5baab3cc-ecd5-4199-a162-5625b1b40422
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rp100_W1021.pdf rp100_W1021.pdf (1112 Kb)
Publication type
Article
Upload type
Publication
Title
Title Replication Based on Data Locality for Hadoop Distributed File System
Language en
Publication date 2019-06-15
Authors
Thu, May Phyo
Nwe, Khine Moe
Aye, Kyar Nyo
Description
Replication plays an important role for storage system to improve data availability, throughputand response time for user and control storage cost. Due to different nature of data access pattern, datapopularity is important in replication because of the unstable and unpredictable nature of popular files. Also,replicas placement is important in consideration of system's performance. In data-parallel applications, datalocality is a key issue and this consequence of this issue occurs the decrement of system’ performance.Therefore, this paper proposes a data locality-based replication for Hadoop Distributed File System (HDFS).In replica allocation, data popularity is considered for maintaining less replicas for unpopular data and also,disk bandwidth, CPU utilization and disk utilization are considered in the proposed replica placementalgorithm in order to get better data locality and more effective storage utilization. Our proposed scheme willbe effective for HDFS.
Keywords
Replication, Data Locality, Data Popularity
Identifier 978-981-14-1684-2
Journal articles
9th International Workshop on Computer Science and Engineering (WCSE 2019), Hong Kong
Conference papers
Books/reports/chapters
Thesis/dissertations
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