2026-09-18T20:14:59Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81603 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Daniel A. Reed Tran, Nancy Ngoc 2015-09-25T20:19:27Z 2015-09-25T20:19:27Z 10000-01-01 2002 2002 To validate our approach, we built a prototype that integrates adaptive prefetching with caching and local disk striping in the PPFS2 [51] testbed. Results obtained for a computational physics code demonstrate 30% improvement in total execution time over the traditional Unix file system on three Linux clusters, equipped with different hardware configurations. More importantly, this performance improvement has small memory requirements and is shown to scale with increasing I/O intensity. Made available in DSpace on 2015-09-25T20:19:27Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3044246.pdf: 7385930 bytes, checksum: f85335427432f6336f8fdbb9944e379d (MD5) Previous issue date: 2002 Embargo set by: Seth Robbins for item 82884 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 162 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002. http://hdl.handle.net/2142/81603 (MiAaPQ)AAI3044246 eng Computer Science Automatic ARIMA Time Series Modeling and Forecasting for Adaptive Input /Output Prefetching text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.