A replica pre-placement strategy based on correlation analysis in cloud environment

DOI

10.2991/ccis-13.2013.124How to use a DOI?

Keywords

data placement, Hadoop, File association, genetic algorithm, load balancing

Abstract

Currently, The data placement of cloud storage environment encounters some problems. Based on analyzing the requests of upload files of users, we can dig out the relevance of files. For the purpose of increasing the efficiency of data access, we try to place the relevant files to the nodes that users or programs frequently use in the initial placement. To ensure load balancing, we select storage location in the set of nodes which corresponding its associated files list by using genetic algorithm. Simulations show that by using this pre-placement strategy in replica creation can not only greatly reduce the program execution time, but also relatively ensure a more load balancing of the system.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wu Shaochun
AU  - Shuai Xiang
AU  - Chen Liang
AU  - Ye Ling
AU  - Yuan Bowen
PY  - 2013/11
DA  - 2013/11
TI  - A replica pre-placement strategy based on correlation analysis in cloud environment
BT  - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
PB  - Atlantis Press
SP  - 541
EP  - 544
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccis-13.2013.124
DO  - 10.2991/ccis-13.2013.124
ID  - Shaochun2013/11
ER  -