An Improvement of Static Subtree Partitioning in Metadata Server Cluster
Joint Authors
Zhipeng, Tan
Tian, Zhan
Jianliang, Sun
Wei, Zhou
Jie, Cui
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Efficient metadata management is a key issue in distributed file systems.
Currently a single metadata server (MDS) was used to provide metadata service in many distributed file systems.
As a result the MDS is likely to be the bottleneck of the system with the expanding scale.
To deal with this problem, MDS cluster has been advanced.
There are subtree partitioning and hashing partitioning to realize MDS cluster and so on.
In view of the strengths and weaknesses of the previous methods, the paper proposes a half-dynamic subtree strategy that supports the replication of metadata, the dynamic addition and failure recovery of MDS.
Finally we implement it in the open source pNFS file system and demonstrate its high performance and availability.
American Psychological Association (APA)
Zhipeng, Tan& Wei, Zhou& Jianliang, Sun& Tian, Zhan& Jie, Cui. 2012. An Improvement of Static Subtree Partitioning in Metadata Server Cluster. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-501935
Modern Language Association (MLA)
Zhipeng, Tan…[et al.]. An Improvement of Static Subtree Partitioning in Metadata Server Cluster. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-501935
American Medical Association (AMA)
Zhipeng, Tan& Wei, Zhou& Jianliang, Sun& Tian, Zhan& Jie, Cui. An Improvement of Static Subtree Partitioning in Metadata Server Cluster. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-501935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501935