Dynamic Metadata Management for Petabyte-Scale File Systems

  • Authors:
  • Sage A. Weil;Kristal T. Pollack;Scott A. Brandt;Ethan L. Miller

  • Affiliations:
  • University of California at Santa Cruz;University of California at Santa Cruz;University of California at Santa Cruz;University of California at Santa Cruz

  • Venue:
  • Proceedings of the 2004 ACM/IEEE conference on Supercomputing
  • Year:
  • 2004

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Abstract

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.