Methods for Developing and Validating Survivability Distributions

Abstract

Discusses methods that can be used to develop survivability distributions based upon three sources of knowledge. These are (1) available test results; (2) little or no available test data, but a good understanding of the physical laws and phenomena which can be applied by computer simulation; and (3) neither test data nor adequate knowledge of the physics are known, in which case, one must rely upon, and quantify, the judgement of experts. Describes the relationship between the confidence bounds that can be placed on survivability and the number of tests conducted. Discusses the procedure for developing system level survivability distributions from the distributions for lower levels of integration. Demonstrates application of the techniques by defining a communications network for a Hypothetical System Architecture. A logic model for the performance of this communications network is developed, as well as the survivability distributions for the nodes and links based on two alternate data sets, reflecting the effects of increased testing of all elements. Shows how this additional testing could be optimized by concentrating only on those elements contained in the low-order fault sets which the methodology identifies.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1993
Accession Number
ADA270856

Entities

People

  • R. L. Williams

Organizations

  • Kaman Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Communication Networks
  • Data Sets
  • Electronics
  • Energy
  • Engineering
  • Ground Based
  • Military Research
  • National Security
  • Networks
  • Nuclear Radiation
  • Random Variables
  • Sampling
  • Security
  • Space Based
  • Test And Evaluation
  • Test Facilities

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development