Markov Models for Multiple Bus Multiprocessor Systems.

Abstract

Markovian models are developed for the performance analysis of multiprocessor systems intercommunicating via a set of busses. The performance index is the average number of active processors, called processing power. From processing power a variety of other performance measures can be derived as dictated by the specific processor application. Exact models are first introduced, and are illustrated with a simple example. The computational complexity of the exact models is shown to increase very rapidly with system size, thus making the exact analysis impractical even for medium size systems. To overcome the complexity of computation, several approximate models are introduced. The approximate results are compared with the exact ones and found to be surprisingly accurate for a wide range of configurations. Simulation is used to validate the analytic models and to test their robustness. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1981
Accession Number
ADA101127

Entities

People

  • Marco Ajmone Marsan
  • Mario Gerla

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Access Time
  • California
  • Computational Complexity
  • Computer Science
  • Computers
  • Load Monitoring
  • Markov Chains
  • Markov Models
  • Military Research
  • Petri Nets
  • Probability
  • Probability Distributions
  • Random Variables
  • Simulations
  • Steady State
  • Test And Evaluation
  • Universities

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Parallel and Distributed Computing.
  • Statistical inference.