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Optimized Data Replication for Small Files in Cloud Storage Systems

Author

Listed:
  • Xiong Fu
  • Wenjie Liu
  • Yeliang Cang
  • Xiaojie Gong
  • Song Deng

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.

Suggested Citation

  • Xiong Fu & Wenjie Liu & Yeliang Cang & Xiaojie Gong & Song Deng, 2016. "Optimized Data Replication for Small Files in Cloud Storage Systems," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-8, January.
    • Handle: RePEc:hin:jnlmpe:4837894
    DOI: 10.1155/2016/4837894
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