Distributed Artificial Intelligence for Network Management Systems – New Approaches

The new network management scenario has larger and more complex infrastructures to manage and requires more elaborated applications to cope with its inherent complexity. Decentralized Artificial Intelligence (DAI) is a possible technology solution for the scalability problems presented by the tradit...

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Hauptverfasser: Koch, Fernando, Westphall, Carlos Becker, de Assuncao, Marcos Dias, Xavier, Edison
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creator Koch, Fernando
Westphall, Carlos Becker
de Assuncao, Marcos Dias
Xavier, Edison
description The new network management scenario has larger and more complex infrastructures to manage and requires more elaborated applications to cope with its inherent complexity. Decentralized Artificial Intelligence (DAI) is a possible technology solution for the scalability problems presented by the traditional server-centric applications. However, the implementation of distributed architectures is a complex task and carries problems by its own. In this paper, we will present the current results from our researches on the application of two of most innovative distributed system architectures for network management system: grids of agents and mobile agents. The experiments argument in favor of using DAI for network management system and provide architectural and performance reference for future developments.
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ispartof Lecture notes in computer science, 2004, Vol.3126, p.135-145
issn 0302-9743
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language eng
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source Springer Books
subjects Applied sciences
autonomous agents
Computer science
control theory
systems
Computer systems and distributed systems. User interface
distributed artificial intelligence
Exact sciences and technology
grid computing
mobile agents
network management
Software
title Distributed Artificial Intelligence for Network Management Systems – New Approaches
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