2012 41st International Conference on Parallel Processing (2012)
Pittsburgh, PA, USA USA
Sept. 10, 2012 to Sept. 13, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPP.2012.50
<div class="user">System designers face large challenges in the storage hierarchy when putting new optimizations into practice. We consider a recent storage cache optimization, designed to reduce cache requirements and boost I/O performance, which adapts to individual program behavior. This scheme leverages a quantum-based design, and we observe that the choice of time quanta has a significant effect on performance and overheads. Accordingly, intelligent designs must judiciously select re-optimization points. We therefore develop new phase detection schemes that identify valued re-optimization points through interaction models between applications and this caching technique. We evaluate online and offline variants in the context of enterprise I/O workloads and observe hit-rate gains over 20% for a range of cache sizes.</div>
Optimization, Cache storage, Phase detection, Measurement, Equations, Mathematical model, History, Performance, Storage Caching, Phase Detection, I/O
M. Frasca and P. Raghavan, "Phase Partitioning Methods for I/O Cache Optimization," 2012 41st International Conference on Parallel Processing(ICPP), Pittsburgh, PA, USA USA, 2012, pp. 360-368.