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Sanders, William H. Krishnamurthy, Sudha 2015-09-25T20:19:29Z 2015-09-25T20:19:29Z 10000-01-01 2002 2002 In this thesis we describe the adaptive framework and present the probabilistic models we have developed for the cases in which the replicated content is either static or dynamic. We discuss experimental results that validate the models, and compare the timeliness/consistency tradeoffs under different scenarios. The experimental results demonstrate the role of feedback and the efficacy of simple analytical models for adaptively sharing the available replicas among the users. Given the increasing demand for different services and the diversity of the requirements of clients, such adaptive frameworks that rely on feedback-based resource allocation are likely to play an increasing role in a range of problems related to building dependable systems. Made available in DSpace on 2015-09-25T20:19:29Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3070358.pdf: 9340781 bytes, checksum: ac88a4622bd8bd2a87e600ff4aef01d2 (MD5) Previous issue date: 2002 Embargo set by: Seth Robbins for item 82889 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 161 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002. http://hdl.handle.net/2142/81608 (MiAaPQ)AAI3070358 eng Computer Science An Adaptive Quality of Service Aware Middleware for Replicated Services text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.