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Published Articles >> Table of Contents >> Abstract
First International Conference on Autonomic Computing (ICAC'04)
pp. 164-171
SANBoost: Automated SAN-Level Caching in Storage Area Network
Ismail Ari, University of California at Santa Cruz
Melanie Gottwals, Hewlett-Packard Laboratories
Dick Henze, Hewlett-Packard Laboratories
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAC.2004.53
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| Abstract |
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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. 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. 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.
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 Additional Information
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Citation:
Ismail Ari, Melanie Gottwals, Dick Henze,
"SANBoost: Automated SAN-Level Caching in Storage Area Network,"
icac,
pp. 164-171,
First International Conference on Autonomic Computing (ICAC'04),
2004
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