Stochastic -Model -Driven Adaptation and Recovery in Distributed Systems
Joshi, Kaustubh Raghunandan
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https://hdl.handle.net/2142/81764
Description
Title
Stochastic -Model -Driven Adaptation and Recovery in Distributed Systems
Author(s)
Joshi, Kaustubh Raghunandan
Issue Date
2007
Doctoral Committee Chair(s)
Sanders, William H.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
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.
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