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File Creation Optimization for Metadata-Intensive Application in File Systems

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Algorithms and Architectures for Parallel Processing (ICA3PP 2015)

Abstract

There are many steps among file creation, including creating metadata files in metadata servers, creating data files in data servers, creating a directory entry and adding it in the parent directory. The above steps are generic methods in distributed file system; however, it cannot achieve good performance in the metadata-intensive application where many clients create files at the same time, such as checkpointing, gene biological computing, high energy physics experiments. In this article, we present a method for file creation, called multi-stage file submission for metadata, which is used to optimize file creation in the metadata-intensive situation. This method is designed to make full use of the metadata servers’ locality and decrease I/O operations. What we do is to make some changes among file creation for metadata and metafile storage. The procedure of file creation is based on Parallel Virtual File System version 2.8.2 (PVFS2) and we test the method in a simulation. The result shows that the throughout reaches to 14.06 kops, contrast to the original 0.92 kops, in the situation of sixteen clients and eight metadata servers. Of course, this method is used in metadata-intensive creation application.

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Acknowledgments

The works described in this paper are supported by the fund of the State Key Laboratory of Software Development Environment under Grant No. SKLSDE-2014ZX-05, the National Natural Science Foundation of China under Grant No. 61370059 and No. 61232009, the Fundamental Research Funds for the Central Universities under Grant No.YWF-14-JSJXY-14, Beijing Natural Science Foundation under Grant No. 4122042, the Open Research Fund of The Academy of Satellite Application under grant NO. 2014-CXJJ-DSJ-04.

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Correspondence to Qiaoling Zhong .

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Xiao, L. et al. (2015). File Creation Optimization for Metadata-Intensive Application in File Systems. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9532. Springer, Cham. https://doi.org/10.1007/978-3-319-27161-3_31

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  • DOI: https://doi.org/10.1007/978-3-319-27161-3_31

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  • Online ISBN: 978-3-319-27161-3

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