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ICDCS
2008
IEEE

Scalable and Adaptive Metadata Management in Ultra Large-Scale File Systems

10 years 4 months ago
Scalable and Adaptive Metadata Management in Ultra Large-Scale File Systems
This paper presents a scalable and adaptive decentralized metadata lookup scheme for ultra large-scale file systems (≥ Petabytes or even Exabytes). Our scheme logically organizes metadata servers (MDS) into a multi-layered query hierarchy and exploits grouped Bloom filters to efficiently route metadata requests to desired MDS through the hierarchy. This metadata lookup scheme can be executed at the network or memory speed, without being bounded by the performance of slow disks. Our scheme is evaluated through extensive trace-driven simulations and prototype implementation in Linux. Experimental results show that this scheme can significantly improve metadata management scalability and query efficiency in ultra large-scale storage systems.
Yu Hua, Yifeng Zhu, Hong Jiang, Dan Feng, Lei Tian
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICDCS
Authors Yu Hua, Yifeng Zhu, Hong Jiang, Dan Feng, Lei Tian
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