Volume Based Metadata Isolation in Blue Whale Cluster File System
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The mainly traditional File Systems are constructed on single device where the metadata and data access interfere with each other which will lead to performance degradations. In this paper we propose a volume based mechanism in BWFS to separate metadata from data into different devices by isolations both in store location and IO path. Test result has verified the effectiveness of metadata isolation. By separating metadata into high-performance storage, the application IO bandwidth is promoted by 2.6~2.8 times, meanwhile, the OPS is improved by 2~5 times.
[1] John Wilkes,et al. UNIX Disk Access Patterns , 1993, USENIX Winter.
[2] Huang Hua,et al. Distributed Layered Resource Management Model in Blue Whale Distributed File System , 2005 .
[3] Lustre : A Scalable , High-Performance File System Cluster , 2003 .
[4] Thomas E. Anderson,et al. A Comparison of File System Workloads , 2000, USENIX Annual Technical Conference, General Track.
[5] Nikolai Joukov,et al. A nine year study of file system and storage benchmarking , 2008, TOS.