Distributed Intelligent Management of Active Networks
This paper focuses on improving computer network management by the adoption of artificial intelligence techniques. A logical inference system has being devised to enable automated isolation, diagnosis, and even repair of network problems, thus enhancing the reliability, performance, and security of networks. We propose a distributed multi-agent architecture for network management, where a logical reasoner acts as an external managing entity capable of directing, coordinating, and stimulating actions in an active management architecture. The active networks technology represents the lower level layer which makes possible the deployment of code which implement teleo-reactive agents, distributed across the whole network. We adopt the Situation Calculus to define a network model and the Reactive Golog language to implement the logical reasoner. An active network management architecture is used by the reasoner to inject and execute operational tasks in the network. The integrated system collects the advantages coming from logical reasoning and network programmability, and provides a powerful system capable of performing high-level management tasks in order to deal with network fault situations.
KeywordsDistributed Intelligent Systems Automated Reasoning Situation Calculus Network Management
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- 2.Barone, A., Chirco, P., Di Fatta, G., Lo Re, G.: A Management Architecture For Active Networks. In: Proc. of IEEE Workshop on Active Middleware Services, Edinburgh, UK (July 2002)Google Scholar
- 3.Covo, A.A., Moruzzi, T.M., Peterson, E.D.: AI-assisted Telecommunications Network Management. In: IEEE Global Telecommunications Conference (GLOBECOM 1989), Dallas, TX, USA, November 1989, pp. 487–496 (1989)Google Scholar
- 4.Cebulka, K.D., Muller, M.J., Riley, C.A.: Applications of artificial intelligence for meeting network management challenges of the 1990s. In: IEEE Global Telecommunications Conference (GLOBECOM 1989), Dallas, TX, USA, November 1989, pp. 501–506 (1989)Google Scholar
- 6.Kerschberg, L., Baum, R., Waisanen, A., Huang, I., Yoon, J.: Managing Faults in Telecommunications Networks: A Taxonomy to Knowledge-Based Approaches, pp. 779–784. IEEE, Los Alamitos (1991)Google Scholar
- 9.McCarthy, J.: Situations, actions and causal laws, Technical Report Stanford University, Reprinted in Semantic Information Processing (M. Minsky ed.). MIT Press, Cambridge, Mass, pp. 410-417 (1963)Google Scholar
- 11.Nilson, N.J.: Intelligenza Artificiale, Apogeo (2002)Google Scholar
- 17.Tennenhouse, D.L., Wetherall, D.J.: Towards an Active Network Architecture. Computer Communication Review 26(2) (April 1996)Google Scholar