POLUS: A Self -Evolving Model-Based Approach for Automating the Observe -Analyze -Act Loop
Uttamchandani, Sandeep
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https://hdl.handle.net/2142/81696
Description
Title
POLUS: A Self -Evolving Model-Based Approach for Automating the Observe -Analyze -Act Loop
Author(s)
Uttamchandani, Sandeep
Issue Date
2005
Doctoral Committee Chair(s)
Agha, Gul A.
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
The details of the POLUS methodology consist of: Representation of domain-specific details as models; creation and evolution of these models in an automated fashion; decision-making for the corrective action(s) to be invoked at run-time; handling divergent system behavior during action execution. POLUS is the first-of-a-kind in using a model-based approach for OAA automation; by applying the following operational principles. P OLUS addresses challenges related to model inaccuracies in real-world systems, and the computational complexity of decision-making: (1) Models don't need to be perfectly accurate---they only need to be accurate enough to maintain the relative ordering during action selection; (2) The objective of action selection is not to find the most optimal one, but rather to avoid the worst ones; (3) Creation of models is not a one-time activity---it is a continuous process over the lifetime of the system. (Abstract shortened by UMI.).
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