A Logical Architecture for Active Network Management (Articolo in rivista)

Type
Label
  • A Logical Architecture for Active Network Management (Articolo in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/s10922-005-9012-7 (literal)
Alternative label
  • Urso Alfonso; Gatani Luca; Gaglio Salvatore; Lo Re Giuseppe (2006)
    A Logical Architecture for Active Network Management
    in Journal of network and systems management
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Urso Alfonso; Gatani Luca; Gaglio Salvatore; Lo Re Giuseppe (literal)
Pagina inizio
  • 127 (literal)
Pagina fine
  • 146 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 14 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 1 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR, Ist Calcolo & Reti Alte Prestazioni, I-90128 Palermo, Italy (literal)
Titolo
  • A Logical Architecture for Active Network Management (literal)
Abstract
  • This paper focuses on improving network management by exploiting the potential of \"doing\" of the Active Networks technology, together with the potential of \"planning,\" which is typical of the artificial intelligent systems.We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the root causes of faults, and to deciding on reparative actions. The logical inference system has been devised to carry out automated isolation, diagnosis, and even repair of network anomalies, thus enhancing the reliability, performance, and security of the network. Experimental results illustrate the Reasoner capability of correctly recognizing fault situations and undertaking management actions. (literal)
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