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Autonomic Computing, International Conference on (2004)
New York, New York
May 17, 2004 to May 18, 2004
ISBN: 0-7695-2114-2
pp: 164-171
Ismail Ari , University of California at Santa Cruz
Melanie Gottwals , Hewlett-Packard Laboratories
Dick Henze , Hewlett-Packard Laboratories
<p>The storage traffic for different Logical Units (LUs) of a disk array converge at the array?s cache. The cache is allocated among the LUs approximately according to their relative I/O rates. In the case of non-uniform I/O rates and sensitivity to storage response times between differing applications in a Storage Area Network (SAN), undesirable cache interference between LUs can result in unacceptable storage performance for some LUs.</p> <p>This paper describes SANBoost, a SAN-level caching approach that can be enabled selectively on a per-LU basis to provide a performance isolation mechanism for response time metrics related to storage quality of service (QoS). SANBoost automates hot data detection and migration processes in block-level storage. The design consists of a migration module implemented in a fabric-based SAN virtualization appliance and a Solid-State Disk (SSD) that acts as a cache resource within the same SAN.</p> <p>Simulation results quantify the impact of a specific static SANBoost caching policy on the SPC-1 benchmark workload and address the relative impact of adapting a threshold in the placement algorithm.</p>

M. Gottwals, D. Henze and I. Ari, "SANBoost: Automated SAN-Level Caching in Storage Area Network," Autonomic Computing, International Conference on(ICAC), New York, New York, 2004, pp. 164-171.
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