Robust Functionality and Active Data Management for Cooperative Networks in the Presence of WMD Stressors

Abstract

In this project , we have begun the development of a rigorous probabilistic framework enabling new understanding and control of distributed networks vulnerabilities to WMD-induced failures. We have developed a general stochastic queuing model and performed basic analysis to characterize the statistics of the task completion time treated as a random variable. Using the developed framework, we have established a theoretical/computational optimization tool that maximizes a network's robustness to node/link failures by ponstantly redistributing the network' s computational loads. The framework also includes a rigorous treatment of the time evolution of networks subject to multiple random-in- space-and-time disruption and restoration events. Next, we have developed a theory to describe and solve the problem of a network attempting to reach consensus on the occurrence of a WMD attack based upon network data . To this end, we have developed the mathematical foundations of networked binary consensus over noisy links. Finally, we have considered real-time adaptation in distributed, unreliable networks irl the face of the potentially correlated failures induced by WMD tressors, establishing methods for driving adaptation using low-overhead monitoring systems.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA550452

Entities

People

  • Majeed M. Hayat
  • Patricia Crowley
  • Patrick G. Bridges
  • Yasamin Mostofi

Organizations

  • University of New Mexico

Tags

Communities of Interest

  • Biomedical
  • Counter WMD
  • Cyber
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Data Management
  • Information Processing
  • Mathematical Models
  • Measurement
  • Network Topology
  • Optimization
  • Personal Information Managers
  • Probability
  • Random Variables
  • Reliability
  • Sensor Networks
  • Simulations
  • Statistics
  • Students
  • Time Intervals

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Theoretical Analysis.

Technology Areas

  • Space