sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Mantle: A Programmable Metadata Load Balancer for the Ceph File System

SESSION: Scalable Storage Systems

EVENT TYPE: Papers

EVENT TAG(S): Storage, Data-Intensive Computing

TIME: 2:00PM - 2:30PM

SESSION CHAIR(S): Gabriel Antoniu

AUTHOR(S):Michael A. Sevilla, Noah Watkins, Carlos Maltzahn, Ike Nassi, Scott A. Brandt, Sage A. Weil, Greg Farnum, Sam Fineberg

ROOM:18CD

ABSTRACT:

Migrating resources is a useful tool for balancing load in a distributed system, but it is difficult to determine when to move resources, where to move resources, and how much of them to move. We look at resource migration for file system metadata and show how CephFS's dynamic subtree partitioning approach can exploit varying degrees of locality and balance because it can partition the namespace into variable sized units. Unfortunately, the current metadata balancer is complicated and difficult to control because it struggles to address many of the general resource migration challenges inherent to the metadata management problem. To help decouple policy from mechanism, we introduce a programmable storage system that lets the designer inject custom balancing logic. We show the flexibility and transparency of this approach by replicating the strategy of a state-of-the-art metadata balancer and conclude by comparing this strategy to other custom balancers on the same system.

Chair/Author Details:

Gabriel Antoniu (Chair) - French Institute for Research in Computer Science and Automation|

Michael A. Sevilla - University of California, Santa Cruz

Noah Watkins - University of California, Santa Cruz

Carlos Maltzahn - University of California, Santa Cruz

Ike Nassi - University of California, Santa Cruz

Scott A. Brandt - University of California, Santa Cruz

Sage A. Weil - Red Hat

Greg Farnum - Red Hat

Sam Fineberg - Hewlett-Packard Development Company, L.P.

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society