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  1. University of Computer Studies, Yangon
  2. Faculty of Computer Science

Replication Based on Data Locality for Hadoop Distributed File System

http://hdl.handle.net/20.500.12678/0000005022
a5f883b7-020b-4373-8d5f-f637666dab8c
5baab3cc-ecd5-4199-a162-5625b1b40422
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rp100_W1021.pdf rp100_W1021.pdf (1112 Kb)
Publication type Article
Upload type Publication
Title
Replication Based on Data Locality for Hadoop Distributed File System
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
Keywords
Data Locality
Keywords
Data Popularity
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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