Abstract
With the increase of large number of data, multi-clusters structure has been adopted for data storage. Therefore, the demand for file metadata sharing across global scale clusters is quickly rising. However, today's software can not provide features to reflect these desires well. In this paper, We propose and develop a metadata sharing management method called Shedder. First Shedder can allow customized multi-clusters metadata sharing structure. Next, Shedder can provide highly efficient global synchronization for all clusters. Finally, Shedder allows customized user view generated from global namespace. Our evaluation for Shedder shows that Shedder provides low latency for global synchronization. Dynamic transformation from global namespace to customized user view also has low time cost for different size of workloads. © Springer International Publishing Switzerland 2013.
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CITATION STYLE
Hao, Q., Zhong, Q., Ruan, L., Zhang, Z., & Xiao, L. (2013). Shedder: A metadata sharing management method across multi-clusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8285 LNCS, pp. 72–86). https://doi.org/10.1007/978-3-319-03859-9_6
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