Efficient metadata management in large distributed storage systems
- 27 August 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. t10, 290-298
- https://doi.org/10.1109/mass.2003.1194865
Abstract
Efficient metadata management is a critical aspect of overall system performance in large distributed storage systems. Directory subtree partitioning and pure hashing are two common techniques used for managing metadata in such systems, but both suffer from bottlenecks at very high concurrent access rates. We present a new approach called Lazy Hybrid (LH) metadata management that combines the best aspects of these two approaches while avoiding their shortcomings.Keywords
This publication has 11 references indexed in Scilit:
- Network attached storage architectureCommunications of the ACM, 2000
- RAMA: An easy-to-use, high-performance parallel file systemParallel Computing, 1997
- The Vesta parallel file systemACM Transactions on Computer Systems, 1996
- Long Term Distributed File Reference Tracing: Implementation and ExperienceSoftware: Practice and Experience, 1996
- Distributed file systems: concepts and examplesACM Computing Surveys, 1990
- Coda: a highly available file system for a distributed workstation environmentIEEE Transactions on Computers, 1990
- The Sprite network operating systemComputer, 1988
- Andrew: a distributed personal computing environmentCommunications of the ACM, 1986
- A trace-driven analysis of the UNIX 4.2 BSD file systemPublished by Association for Computing Machinery (ACM) ,1985
- A fast file system for UNIXACM Transactions on Computer Systems, 1984