Title
Volume Based Metadata Isolation in Blue Whale Cluster File System
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.
Year
DOI
Venue
2009
10.1109/HPCC.2009.26
HPCC
Keywords
DocType
ISBN
volume based metadata isolation,performance degradations,pattern clustering,different institution,grid computing,store location,Dbench,metadata isolation,data access interfere,resource management,share geographically,BWFS,blue whale cluster file,file organisation,Cluster file system,high-performance storage,meta data,administrative domain,Blue Whale cluster file system
Conference
978-0-7695-3738-2
Citations 
PageRank 
References 
1
0.34
0
Authors
6
Name
Order
Citations
PageRank
J. Zhang15210.98
Chengxiang Si2145.79
Yajun Jia310.68
Jiangang Zhang410.34
Xiaoming Han593.64
Lu Xu6166.54