DocumentCode :
2548827
Title :
Replication-Based Highly Available Metadata Management for Cluster File Systems
Author :
Chen, Zhuan ; Xiong, Jin ; Meng, Dan
Author_Institution :
Nat. Res. Center for Intell. Comput. Syst., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
20-24 Sept. 2010
Firstpage :
292
Lastpage :
301
Abstract :
In cluster file systems, the metadata management is critical to the whole system. Past researches mainly focus on journaling which alone is not enough to provide high-available metadata service. Some others try to use replication, but the extra latency accompanied is a main problem. To guarantee both availability and efficiency, we propose a mechanism for building highly available metadata servers based on replication, which integrates Paxos algorithm effectively into metadata service. The Packed Multi-Paxos is proposed to reduce the latency brought by replication, which is self-adaptive and can make the replication to achieve high throughput under heavy client load and low latency under light client load. By designing efficient architecture and coordination mechanism, all replica server nodes simultaneously provide metadata read-access service. This high-available mechanism could decrease the impact of server failures and there is no interruption of service. The performance results show that the latency caused by replication and redundancy is well under control, and the performance of metadata read operation gains improvement.
Keywords :
meta data; pattern clustering; replicated databases; Paxos algorithm; cluster file systems; metadata management; read-access service; replica server nodes; Availability; Buildings; Instruction sets; Message systems; Redundancy; Servers; Throughput; file system; high availability; metadata management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing (CLUSTER), 2010 IEEE International Conference on
Conference_Location :
Heraklion, Crete
Print_ISBN :
978-1-4244-8373-0
Electronic_ISBN :
978-0-7695-4220-1
Type :
conf
DOI :
10.1109/CLUSTER.2010.34
Filename :
5600296
Link To Document :
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