NETWORK MODELS FOR THE CONVERSATIONAL DESIGN OF STOCHASTIC SERVICE SYSTEMS

Abstract

Numerical analysis of Markovian queueing networks, and graphical communication of problem statements and results, offer a potential for truly conversational use of computers for 'high-traffic' design of large-scale systems. However, one must develop a translator which converts the pictorial language of queueing network diagrams to the data structures required for efficient numerical analysis. This requires the development of new mathematical models for networks, and for the meaning of their components. Such mathematical models are explored, and their role in the development of adequate programming systems is described. These models, algebraic in form, provide a vehicle for the information conveyed directly by the diagram, the information implicit in the symbology of the diagram, the information upon which the actual calculations are performed, and the procedure which transforms the information from the form of the diagram to the form for calculation.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1968
Accession Number
AD0682072

Entities

People

  • Keki B. Irani
  • Victor L. Wallace

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Electronic Warfare
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Complex Systems
  • Computer Programming
  • Computers
  • Electrical Engineering
  • Engineering
  • Equations
  • Graphics
  • Language
  • Markov Chains
  • Mathematical Models
  • Models
  • Numerical Analysis
  • Probability
  • Programming Languages
  • Systems Engineering
  • Translators

Readers

  • Computer Networking
  • Computer Science.