ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||7|
|Section||Session 5: Information Processing Methods and Techniques|
|Published online||05 September 2017|
A Reliable and Efficient Data Migration Method Based On GlusterFS
Computer Science, National University of Defense Technology, Changsha, China
Big data storage and high speed data access have become the main performance bottleneck for many big data applications. The higher speed data access and lower cost for storage must be required than some applications having small-scale data. Distributed hierarchical storage provides a good storage way to speed data access and lower cost. But it a data migration method which you choose decide the performance of distributed hierarchical storage system because data migration occurs frequently in hierarchical storage systems. There are many data migration methods, which most of those cannot ensure data utterly integrity after data migration. In this paper, we invent a reliable and efficient data migration method to ensure the utterly integrity of migrated data by MD5 checksum and improve performance of data migration by the pipeline technology. Through adjusting parameters, we get the best performance of data migration by using pipeline in our storage system which is a hierarchical storage system based on GlusterFS.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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