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Multi-Agent Approach to Modeling and Implementing Fault-Tolerance in Reactive Autonomic Systems

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Multi-Agent Approach to Modeling and Implementing Fault-Tolerance in Reactive Autonomic Systems

Shafiei-Dizaji, Nassir (2011) Multi-Agent Approach to Modeling and Implementing Fault-Tolerance in Reactive Autonomic Systems. Masters thesis, Concordia University.

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Abstract

Recently, autonomic computing has been proposed as a promising solution for software complexity in IT industry. As an autonomic approach, the Reactive Autonomic Systems Framework (RASF) proposes a formal modeling based on mathematical category theory, which addresses the self-* properties of reactive autonomic systems in a more abstract level.
This thesis is about the specification and implementation of the reactive autonomic systems (RAS) through multi-agent approach by laying emphasis on the fault-tolerance property of RAS. Furthermore, this thesis proposes a model-driven approach to transform the RAS model to agent templates in multi-agent model using Extensible Stylesheet Language Transformation (XSLT). The multi-agent approach in this research is implemented by Jadex, a high-level Java-based agent programming language. The intelligent agents are created in Jadex based on the Belief-Desire-Intension (BDI) agent architecture. The approach is illustrated on a case study.

Divisions:Concordia University > Faculty of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Shafiei-Dizaji, Nassir
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Software Engineering
Date:17 April 2011
Thesis Supervisor(s):Ormandjieva, Olga and Bentahar, Jamal
ID Code:7340
Deposited By:NASSIR SHAFIEIDIZAJI
Deposited On:09 Jun 2011 10:44
Last Modified:09 Jun 2011 10:44
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