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Block reORGanization for Self-optimizing Storage Systems

Authors

Abstract

This paper presents the design, implementation, and evaluation of BORG, a self-optimizing storage system that performs automatic block reorganization based on the observed I/O workload.

BORG is motivated by three characteristics of I/O workloads: non-uniform access frequency distribution, temporal locality, and partial determinism in non-sequential accesses. To achieve its objective, BORG manages a small, dedicated partition on the disk drive, with the goal of servicing a majority of the I/O requests from within this partition with significantly reduced seek and rotational delays.

BORG is transparent to the rest of the storage stack, including applications, file system(s), and I/O schedulers, thereby requiring no or minimal modification to storage stack implementations. We evaluated a Linux implementation of BORG using several real-world workloads, including individual user desktop environments, a web-server, a virtual machine monitor, and an SVN server. These experiments comprehensively demonstrate BORG's effectiveness in improving I/O performance and its incurred resource overhead.

Publications

  • BORG: Block-reORGanization for Self-optimizing Storage Systems pdf ps
    Medha Bhadkamkar, Jorge Guerra, Luis Useche, Sam Burnett†, Jason Liptak, Raju Rangaswami, and Vagelis Hristidis
    Proceedings of File and Storage Technologies (FAST), February, 2009.
projects/borg/start.1238456182.txt.gz · Last modified: m/d/Y H:i by luis