2026-09-20T17:22:53Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81617 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

We present the results of experiments with the Panda parallel I/O library that show that our proposed approach to data migration can reduce application turnaround time significantly. We also show that our declustering approaches can reduce the retrieval time for visualization queries on heterogeneous disks, while lessening performance variance across different queries that retrieve the same amount of data. Winslett, Marianne Lee, Jong-Hyun 2015-09-25T20:19:32Z 2015-09-25T20:19:32Z 10000-01-01 2003 2003 Made available in DSpace on 2015-09-25T20:19:32Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3086113.pdf: 9207810 bytes, checksum: 09a469641f16f2089369440e80a373b8 (MD5) Previous issue date: 2003 Embargo set by: Seth Robbins for item 82898 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 145 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003. http://hdl.handle.net/2142/81617 (MiAaPQ)AAI3086113 eng Computer Science Supporting I/O for Remote Visualization of High-Performance Scientific Simulations text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.