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4th USENIX Conference on File and Storage Technologies—Abstract
Pp. 101–114 of the Proceedings
DULO: An Effective Buffer Cache Management Scheme to Exploit Both
Temporal and Spatial Locality
Song Jiang, Los Alamos National Laboratory; Xiaoning Ding, Feng Chen,
Enhua Tan and Xiaodong Zhang, Ohio State University
Abstract
Sequentiality of requested blocks on disk, or their locality, is critical to the performance of disks, where the
throughput of accesses to sequentially placed disk blocks
can be an order of magnitude higher than that of accesses
to randomly placed blocks. Unfortunately, spatial locality of
cached blocks is largely ignored and only temporal locality is
considered in system buffer cache management. Thus, disk
performance for workloads without dominant sequential accesses
can be seriously degraded. To address this problem,
we propose a scheme called DULO (DUal LOcality), which
exploits both temporal and spatial locality in buffer cache
management. Leveraging the filtering effect of the buffer
cache, DULO can influence the I/O request stream by making
the requests passed to disk more sequential, significantly
increasing the effectiveness of I/O scheduling and prefetching
for disk performance improvements.
DULO has been extensively evaluated by both tracedriven
simulations and a prototype implementation in Linux
2.6.11. In the simulations and system measurements, various
application workloads have been tested, including Web
Server, TPC benchmarks, and scientific programs. Our experiments
showthat DULO can significantly increase system
throughput and reduce program execution times.
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