Abstract
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.
Original language | English (US) |
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Pages (from-to) | 289-290 |
Number of pages | 2 |
Journal | ACM SIGPLAN Notices |
Volume | 46 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2011 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)