2026-09-20T23:11:41Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81764 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

http://hdl.handle.net/2142/81764 Sanders, William H. Joshi, Kaustubh Raghunandan 2015-09-25T20:20:22Z 2015-09-25T20:20:22Z 10000-01-01 2007 2007 We are unaware of any other framework for recovery in distributed systems that integrates monitoring and recovery in an iterative manner, is able to deal with imprecise system states and selectively choose actions that either gather information or make progress towards recovery, and generates recovery policies that minimize costs over entire sequences of recovery actions. We have implemented a tool called the Adaptation and Recovery Management framework that implements our approach. We demonstrate that this tool can be used to provide diagnosis and recovery capabilities in practical information systems. Made available in DSpace on 2015-09-25T20:20:22Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3269932.pdf: 5564774 bytes, checksum: 97ea41f315b33ccdf33611d1b0772f01 (MD5) Previous issue date: 2007 Embargo set by: Seth Robbins for item 83045 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 186 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007. (MiAaPQ)AAI3269932 eng Computer Science Stochastic -Model -Driven Adaptation and Recovery in Distributed Systems text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.