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Title:Stochastic -Model -Driven Adaptation and Recovery in Distributed Systems
Author(s):Joshi, Kaustubh Raghunandan
Doctoral Committee Chair(s):Sanders, William H.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract: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.
Issue Date:2007
Type:Text
Language:English
Description:186 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.
URI:http://hdl.handle.net/2142/81764
Other Identifier(s):(MiAaPQ)AAI3269932
Date Available in IDEALS:2015-09-25
Date Deposited:2007


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