Abstract | ||
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Hybrid parallel file systems (PFS), which consist of both HDD and SSD servers, provide a promising solution for data-intensive applications. In this study, we propose a performance-aware data placement (PADP) strategy to enable efficient data layout in hybrid PFSs. The basic idea of PADP is to dispatch data on different file servers with adaptive varied-size file stripes based on the server storage performance. By using an effective data access cost model and a linear programming optimization method, the appropriate stripe sizes for each file server are determined effectively. We have implemented PADP within OrangeFS, a widely used parallel file system in HPC domain. Experimental results of representative benchmark show that PADP can significantly improve the I/O performance of hybrid PFSs. |
Year | Venue | Keywords |
---|---|---|
2014 | ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2014, PT I | Parallel I/O System,Parallel File system,Solid State Drive |
Field | DocType | Volume |
File system,File server,Data layout,Computer science,Parallel computing,Server,Linear programming,Solid-state drive,Data access,Distributed computing | Conference | 8630 |
ISSN | Citations | PageRank |
0302-9743 | 9 | 0.48 |
References | Authors | |
13 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shuibing He | 1 | 109 | 20.45 |
Xian-he Sun | 2 | 1987 | 182.64 |
Bo Feng | 3 | 51 | 2.96 |
Kun Feng | 4 | 34 | 4.32 |