Title :
Volume Based Metadata Isolation in Blue Whale Cluster File System
Author :
Zhang, Jingliang ; Si, Chengxiang ; Jia, Yajun ; Zhang, Jiangang ; Han, Xiaoming ; Xu, Lu
Abstract :
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.
Keywords :
file organisation; meta data; pattern clustering; Blue Whale cluster file system; data access interfere; high-performance storage; metadata isolation; performance degradations; store location; volume based metadata isolation; Bandwidth; Computers; Degradation; File systems; High performance computing; Network servers; Petroleum; Random media; Tin; Whales; BWFS; Cluster file system; Dbench; metadata isolation;
Conference_Titel :
High Performance Computing and Communications, 2009. HPCC '09. 11th IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4600-1
Electronic_ISBN :
978-0-7695-3738-2
DOI :
10.1109/HPCC.2009.26