A framework for learning and inference in network management

Ying Dar Lin, Mario Gerla

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper presents a network management framework which builds the management information infrastructure and equips the management applications with learning and reasoning abilities for automatic and adaptive management tasks. Views are global virtual management information constructed via logical rules from the distributed physical management information. Through these views, management applications can access physical network entities. Management applications learn network patterns and reason on the discovered patterns and pre-specified domain knowledge to predict network behavior, diagnose problems, and trigger control actions. These abstract view definition, domain knowledge, and network patterns are a set of logical rules stored in the application-dependent MKB (Management Knowledge Base), while the physical management information is stored in the standard MIB (Management Information Base) at each node.

Original languageEnglish
Title of host publicationGLOBECOM 1992 - Communication for Global Users
Subtitle of host publicationIEEE Global Telecommunications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages560-564
Number of pages5
ISBN (Electronic)0780306082, 9780780306080
DOIs
StatePublished - 1 Jan 1992
Event1992 IEEE Global Telecommunications Conference: Communication for Global Users, GLOBECOM 1992 - Orlando, United States
Duration: 6 Dec 19929 Dec 1992

Publication series

NameGLOBECOM 1992 - Communication for Global Users: IEEE Global Telecommunications Conference

Conference

Conference1992 IEEE Global Telecommunications Conference: Communication for Global Users, GLOBECOM 1992
CountryUnited States
CityOrlando
Period6/12/929/12/92

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