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- W2511483174 abstract "High performance computing (HPC) applications demand high I/O throughput from file systems to match their fast processing requirements. These HPC applications create large amounts of file meta-data that can overwhelm current single meta-data server file systems leading to performance bottlenecks. We address this problem with a multiple meta-data server (M-MDS) design using standard parallel NFS (pNFS). We utilize NFS directory referrals mechanism with hashing to efficiently distribute meta-data across a cluster of metadata servers. We show through a large scale setup in Amazon EC2 that our pNFS M-MDS can scale almost linearly and outperform Lustre CMD (Clustered Metadata) by up to 3 times in some of the file system meta-data operation benchmarks." @default.
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- W2511483174 date "2016-07-01" @default.
- W2511483174 modified "2023-09-24" @default.
- W2511483174 title "Scalable Distributed Meta-Data Management in Parallel NFS" @default.
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- W2511483174 doi "https://doi.org/10.1109/iiai-aai.2016.91" @default.
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