Analytical Models for Parallel Processing Systems

Abstract

This report proposes to use generalized stochastic Petri nets (GSPN) in reliability, maintainability, and availability studies. The novelty of this modeling approach lies on the ground of the following distinctive reasons: (1) The GSPN offers a precise description of system activities and conditions while involves less complexity, comparing to other modeling techniques. Specifically, it is an inherently effective bookkeeping for conditions and activities; (2) it provides a clairvoyant insight of the key parameters that effect RMA analysis. Causes and results of events can be easily tracked by executing the GSPN; and (3) it takes the advantage of the existence of concurrency and timing of events, thus describes accurately the sequence of events.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1986
Accession Number
ADA168678

Entities

People

  • H. Ammar
  • R. Liu
  • Y. F. Huang

Organizations

  • University of Notre Dame

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Complex Systems
  • Computational Science
  • Computer Programming
  • Computer Science
  • Computers
  • Markov Chains
  • Markov Processes
  • Parallel Computing
  • Parallel Processing
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Queueing Theory
  • Random Variables
  • Stochastic Processes

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Software Engineering.
  • Systems Analysis and Design