An Analytical Framework for Fast Estimation of Capacity and Performance in Communication Networks

Abstract

The primary goal of this project was to create analytical methods for estimating such metrics as performance/congestion and capacity in large-scale communication networks. Since real networks exhibit a dizzying variety of forms and features, focus was placed on understanding fundamental intrinsic geometric and topological features with the hope that the said metrics could be derived parsimoniously from global features rather than through complex local features which would have made the goal of this project unachievable.

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Document Details

Document Type
Technical Report
Publication Date
Jan 25, 2012
Accession Number
ADA563657

Entities

People

  • Iraj Saniee
  • Onuttom Narayan
  • Yuliy Baryshnikov

Organizations

  • University of California, Santa Cruz

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • California
  • Communication Networks
  • Congestion
  • Curvature
  • Department Of Defense
  • Geometric Forms
  • Geometry
  • Graph Theory
  • Inequalities
  • Lines (Geometry)
  • Networks
  • Observation
  • Social Networks
  • Standards
  • Universities

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design