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University of Illinois at Urbana-Champaign
Stochastic -Model -Driven Adaptation and Recovery in Distributed Systems
Abstract
dc:descriptionWe 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Joshi, Kaustubh Raghunandan
- Contributors dc:contributor
-
- Sanders, William H.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3269932
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81764