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/).
Cite this article
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 -