Proceedings of the 2004 ACM/IEEE conference on Supercomputing Dynamic Metadata Management for Petabyte-Scale File Systems Pittsburgh, Pennsylvania November 06-November 12 ISBN: 0-7695-2153-3
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SC.2004.22
In petabyte-scale distributed file systems that decouple read and write from metadata operations, behavior of the metadata server cluster will be critical to overall system performance and scalability. We present a dynamic subtree partitioning and adaptive metadata management system designed to efficiently manage hierarchical metadata workloads that evolve over time. We examine the relative merits of our approach in the context of traditional workload partitioning strategies, and demonstrate the performance, scalability and adaptability advantages in a simulation environment.
Citation:
Sage A. Weil, Kristal T. Pollack, Scott A. Brandt, Ethan L. Miller, "Dynamic Metadata Management for Petabyte-Scale File Systems," sc, pp.4, Proceedings of the 2004 ACM/IEEE conference on Supercomputing, 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||