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Spatial Separation of Molecular Conformers and Clusters
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Efficiency of even separation of parallel elements with variable contest intensity.

Kjell Hausken1, Gregory Levitin

  • 1Faculty of Social Sciences, University of Stavanger, Stavanger, Norway. kjell.hausken@uis.no

Risk Analysis : an Official Publication of the Society for Risk Analysis
|July 18, 2008
PubMed
Summary

This study analyzes optimal resource allocation for defending separable systems against attacks. It establishes criteria for efficient separation strategies in redundant and non-redundant systems.

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Area of Science:

  • Operations Research
  • Systems Engineering
  • Game Theory

Background:

  • Complex systems often comprise parallel elements requiring strategic defense.
  • Resource allocation between system separation and direct protection is a critical challenge.
  • Attacker-defender dynamics influence element vulnerability through contest success functions.

Purpose of the Study:

  • To determine criteria for efficient separation strategies in systems with and without performance redundancy.
  • To analyze the impact of separation on contest intensity and element vulnerability.
  • To evaluate damage metrics for redundant systems based on unmet demand.

Main Methods:

  • Game-theoretic modeling of attacker-defender interactions.
  • Analysis of contest success functions under varying separation intensities.
  • Development of efficiency criteria for different system redundancy levels (N-out-of-N, Q-out-of-N).

Main Results:

  • Defined separation efficiency criteria for systems lacking redundancy.
  • Established criteria for 1-out-of-N and Q-out-of-N systems with performance redundancy.
  • Considered two distinct models for expected damage in redundant systems.

Conclusions:

  • Optimal defense strategies depend on system redundancy and the nature of expected damage.
  • Separation efficiency is a key metric for safeguarding distributed systems.
  • The study provides a framework for resource allocation in strategic defense scenarios.