Distributed Artificial Intelligence for Network Management Systems ? New Approaches

Abstract 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.