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MulConn: User-Transparent I/O Subsystem for High-Performance Parallel File Systems

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Authors

Kim, Hwajung; Bang, Jiwoo; Sung, Dong Kyu; Eom, Hyeonsang; Yeom, Heon Y.; Sung, Hanul

Issue Date
2021-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings - 2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics, HiPC 2021, pp.53-62
Abstract
© 2021 IEEE.Parallel file systems (PFS) are used to distribute data processing and establish shared access to large-scale data. Despite being able to provide high I/O bandwidth on each node, PFS has difficulty utilizing the I/O bandwidth due to a single connection between the client and server nodes. To mitigate the performance bottleneck, users increase the number of connections between the nodes by modifying PFS or applications. However, it is difficult to modify PFS itself due to its complicated internal structure. Thus, PFS users manually increase the number of connections between the nodes by employing several methods. In this paper, we propose a user-transparent I/O subsystem, MulConn, to make users exploit high I/O bandwidth between nodes. To avoid the modifications of PFS and user applications, we have developed a horizontal mount procedure and two I/O scheduling policies, TtoS and TtoM, in the virtual file system (VFS) layer. We expose a single mount point that has multiple connections by modifying the mount path of VFS from vertical hierarchy to horizontal hierarchy. We also introduce two I/O scheduling policies to distribute I/O requests evenly to multiple connections. The experimental results show that MulConn improves write and read performance by up to 2.6x and 2.8x, respectively, compared with those of PFS using the existing kernel. In addition, we provide the best I/O performance that PFS can provide in the given experimental environments.
ISSN
1094-7256
URI
https://hdl.handle.net/10371/183769
DOI
https://doi.org/10.1109/HiPC53243.2021.00019
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