TY - JOUR
T1 - QoS aware storage cache management in multi-server environments
AU - Prabhakar, Ramya
AU - Srikantaiah, Shekhar
AU - Garg, Rajat
AU - Kandemir, Mahmut
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011/8
Y1 - 2011/8
N2 - In this paper, we propose a novel two-step approach to the management of the storage caches to provide predictable performance in multi-server storage architectures: (1) An adaptive QoS decom- position and optimization step uses max-flow algorithm to determine the best decomposition of application-level QoS to sub-QoSs such that the application performance is optimized, and (2) A stor- age cache allocation step uses feedback control theory to allocate shared storage cache space such that the specified QoSs are satisfied throughout the execution.
AB - In this paper, we propose a novel two-step approach to the management of the storage caches to provide predictable performance in multi-server storage architectures: (1) An adaptive QoS decom- position and optimization step uses max-flow algorithm to determine the best decomposition of application-level QoS to sub-QoSs such that the application performance is optimized, and (2) A stor- age cache allocation step uses feedback control theory to allocate shared storage cache space such that the specified QoSs are satisfied throughout the execution.
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U2 - 10.1145/2038037.1941593
DO - 10.1145/2038037.1941593
M3 - Article
AN - SCOPUS:80053980944
VL - 46
SP - 289
EP - 290
JO - SIGPLAN Notices (ACM Special Interest Group on Programming Languages)
JF - SIGPLAN Notices (ACM Special Interest Group on Programming Languages)
SN - 1523-2867
IS - 8
ER -