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First International Conference on Autonomic Computing (ICAC'04)
SANBoost: Automated SAN-Level Caching in Storage Area Network
New York, New York
May 17-May 18
ISBN: 0-7695-2114-2
ASCII Text
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Ismail Ari, Melanie Gottwals, Dick Henze, "SANBoost: Automated SAN-Level Caching in Storage Area Network," Autonomic Computing, International Conference on, pp. 164-171, First International Conference on Autonomic Computing (ICAC'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/ICAC.2004.53,
author = {Ismail Ari and Melanie Gottwals and Dick Henze},
title = {SANBoost: Automated SAN-Level Caching in Storage Area Network},
journal ={Autonomic Computing, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2114-2},
pages = {164-171},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICAC.2004.53},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Autonomic Computing, International Conference on
TI - SANBoost: Automated SAN-Level Caching in Storage Area Network
SN - 0-7695-2114-2
SP164
EP171
A1 - Ismail Ari,
A1 - Melanie Gottwals,
A1 - Dick Henze,
PY - 2004
KW - null
VL - 0
JA - Autonomic Computing, International Conference on
ER -
 
Ismail Ari, University of California at Santa Cruz
Melanie Gottwals, Hewlett-Packard Laboratories
Dick Henze, Hewlett-Packard Laboratories

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.

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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