Models and Measurements of Parallelism for a Distributed Computer System.

Abstract

This thesis performed two tasks: the formulation of a model of parallelism for a distributed computer system, and the instrumentation of that system to validate the model. The model of parallelism is a Markov process, where the states of the model correspond to the states of the system. A model exists for two and three processors. The two processor model has four states and the three processor model has eight states. It has been determined that a four processor model would have nineteen states and a five processor model, twenty-nine states. These models were not formulated due to the large number of states and the results of validating the two and three processor models indicated that not much information could be gained from them. Validation of the two and three processor models revealed that they weren't very accurate. The relative error was 20% and less for two processors and 30% and less (with the exception of one state whose error was 55%) for three processors.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1982
Accession Number
ADA116762

Entities

People

  • Debra S. Lane

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Communication Networks
  • Communication Systems
  • Computer Networks
  • Computer Programming
  • Computer Science
  • Computers
  • Host Computers
  • Instrumentation
  • Markov Processes
  • Measurement
  • Microarchitecture
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Probability
  • Programming Languages

Readers

  • Computational Modeling and Simulation
  • Parallel and Distributed Computing.