Study of a Heterogeneous Distributed Microcomputer Network Using Measured Data and Analytical/Simulation Models.

Abstract

This study has been concerned with exploring the characteristics of a network with potential application in management information systems using both analytical/simulation models (developed in the study) and measured data obtained from the network models. The network used has been constructed in the School of Electrical Engineering at Georgia Tech with support from AIRMICS. A significant feature of the proposed program has been the approach of dealing with both experimental data from the physical network and results from analytical/simulation models. The completed study has been directed toward an enhanced understanding of heterogeneous, distributed microprocessor networks. Monitor equipment has been studied, installed and used to obtain experimental data on the operation of the network and analytical/simulation models were tailored to describe as accurately as possible the operation of the actual network. The results of the study are models which accurately describe network behavior. These models, which depend explicity on well-defined parameters, provide the facility to investigate alternative designs and to predict network behavior for many types of inputs, such as would be specified for particular management information systems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1981
Accession Number
ADA110069

Entities

People

  • D. K. Lam
  • D. N. Murray
  • J. H. Schlag
  • J. L. Hammond
  • P. J. P. O'reilly

Organizations

  • Georgia Tech

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Central Processing Units
  • Circuit Boards
  • Communication Channels
  • Communication Networks
  • Computer Communications
  • Computer Networks
  • Computer Programming
  • Computers
  • Electrical Engineering
  • Information Science
  • Information Systems
  • Management Information Systems
  • Markov Chains
  • Mathematical Models
  • Statistical Distributions
  • Throughput

Readers

  • Computational Modeling and Simulation
  • Software Engineering.
  • Superconducting Magnet Technology