The Community for Technology Leaders
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
Melanie Gottwals , Hewlett-Packard Laboratories
Dick Henze , Hewlett-Packard Laboratories
Ismail Ari , University of California at Santa Cruz
<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>
Melanie Gottwals, Dick Henze, Ismail Ari, "SANBoost: Automated SAN-Level Caching in Storage Area Network", Autonomic Computing, International Conference on, vol. 00, no. , pp. 164-171, 2004, doi:10.1109/ICAC.2004.53
93 ms
(Ver 3.3 (11022016))