Distributed expert systems for network performance optimization

Yuval Lirov, Benjamin Melamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


A distributed expert system that uses a simulation-based optimization methodology for queuing networks and whose architecture permits parallel simulation of multiple configurations is presented. A knowledge-based search that is a randomized combination of steepest descent and branch and bound algorithms in which the generating function of new states uses qualitative reasoning and the gradient of the objective function is estimated using a heuristic score function method is shown to drive the performance of the network. A random search based on the relative order of the performance gradient components is shown to be a powerful qualitative reasoning technique. The system is implemented as a loosely coupled expert system with components written in Prolog, Simscript, and C. The efficacy of the method is demonstrated through an example from the domain of Jackson queuing networks.

Original languageEnglish (US)
Title of host publicationGLOBECOM '90
PublisherPubl by IEEE
Number of pages6
ISBN (Print)0879426322
StatePublished - 1990
Externally publishedYes
EventIEEE Global Telecommunications Conference & Exhibition Part 3 (of 3) - San Diego, CA, USA
Duration: Dec 2 1990Dec 5 1990

Publication series

NameIEEE Global Telecommunications Conference and Exhibition


ConferenceIEEE Global Telecommunications Conference & Exhibition Part 3 (of 3)
CitySan Diego, CA, USA

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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