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Mathematical Problems in Engineering
Volume 2016, Article ID 4837894, 8 pages
http://dx.doi.org/10.1155/2016/4837894
Research Article

Optimized Data Replication for Small Files in Cloud Storage Systems

1School of Computer and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China
3Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Received 1 December 2015; Accepted 28 December 2015

Academic Editor: Chunlin Chen

Copyright © 2016 Xiong Fu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Cloud storage has become an important part of a cloud system nowadays. Most current cloud storage systems perform well for large files but they cannot manage small file storage appropriately. With the development of cloud services, more and more small files are emerging. Therefore, we propose an optimized data replication approach for small files in cloud storage systems. A small file merging algorithm and a block replica placement algorithm are involved in this approach. Small files are classified into four types according to their access frequencies. A number of small files will be merged into the same block based on which type they belong to. And the replica placement algorithm helps to improve the access efficiencies of small files in a cloud system. Related experiment results demonstrate that our proposed approach can effectively shorten the time spent reading and writing small files, and it performs better than the other two already known data replication algorithms: HAR and SequenceFile.