Reliability Evaluation of Fault-Tolerant Multiprocessor Systems.

Abstract

The major issues involved in modeling modern computer systems can be broadly classified into those arising form the model construction, model reduction and solution, and in the interpretation of the model solution. Modeling languages such as fault trees, the PMS notation, and Extended Stochastic Petri Nets can be valuable in simplifying the task of model construction. The goal of the languages is to provide well defined constructs to the user and let the modeling package automatically generate the details of the underlying stochastic model. The language constructs should correspond closely to the system constructs, and yet should produce a concise representation. Specifying the relevent details of the system being modeled can require a tremendous number of states to be considered (in excess of 100,000). Techniques must be developed to reduce the model to one that is computationally tractable, and then to solve the reduced model in a computationally efficient manner. Once the solution is obtained, it must be interpreted carefully. The errors introduced by the model reduction step and in the solutions must be bounded, and sensitivity of the solution with respect to input parameters should be estimated. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 14, 1985
Accession Number
ADA160234

Entities

People

  • K. S. Trivedi

Organizations

  • Duke University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Availability
  • Classification
  • Computer Science
  • Computers
  • Construction
  • Differential Equations
  • Language
  • Markov Chains
  • Markov Processes
  • Notation
  • Petri Nets
  • Probability
  • Reliability
  • Security
  • Sensitivity
  • Simulations
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.