Empirical Analysis of a Token Ring Network,

Abstract

The purpose of this project was to do an empirical study of the performance, reliability and traffic patterns of the Laboratory for Computer Science version two local area network. Performance data allows the comparison of the version two ring specifically and token ring networks in general with other local area network strategies, such as the Ethernet, to discover which type of local area network is decidedly better and why. Traffic patterns indicate how computer networks are used. Perfomance analysis can be performed both theoretically and experimentally. Mathematical analysis of a local area network is complex and only roughly approximates the behavior of a network. Mathematical analysis is useful for determining which systems might be usable, but does not give enough information to choose among the different systems. Network data refines mathematical models for network evaluation. Improved mathematical models make evaluation and simulation of networks before construction more practical. Empirical analysis determines the performance of an network. Not only can the network traffic be evaluated, but also network properties can be determined. Reported traffic on a local area network can improve mathematical models of traffic for theoretical evaluation and also suggest the traffic handling properties that a local area network and its hosts should have.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA138905

Entities

People

  • D. C. Feldmeier

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • C Programming Language
  • Computer Networks
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Department Of Defense
  • Electrical Engineering
  • Intranet
  • Local Area Networks
  • Mathematical Analysis
  • Mathematical Models
  • Network Computing
  • Network Protocols
  • Network Science
  • Operating Systems

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Systems Analysis and Design
  • Theoretical Analysis.