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oai:www.ideals.illinois.edu:2142/81712 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Caccamo, Marco Gopalakrishnan, Sathish 2015-09-25T20:20:07Z 2015-09-25T20:20:07Z 10000-01-01 2006 2006 We make connections with random graph theory and statistical physics and show specific instances where we can solve problems that were hitherto hard to solve or improve the results for some well-studied problems. The instances that we study are: phased-array radar dwell scheduling, multiprocessor scheduling and multidimensional resource management. We believe that exploiting phase transitions is a simple and sufficient design approach for most real-time systems. Made available in DSpace on 2015-09-25T20:20:07Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3223597.pdf: 4073224 bytes, checksum: c6272cddbdd584b51514e4a8a9f981e3 (MD5) Previous issue date: 2006 Embargo set by: Seth Robbins for item 82993 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 138 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006. http://hdl.handle.net/2142/81712 (MiAaPQ)AAI3223597 eng Operations Research Resource Management for Real -Time Environments text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.