Reduced-Complexity Models for Network Performance Prediction

Abstract

The Internet consists of thousands of nodes interconnected in complex ways, with millions of users sending traffic over the network. To understand such a complex system it is necessary to develop accurate, yet simple, models to describe the performance of the network. The models have to then be used to design new algorithms that dramatically improve network performance. In this project, a variety of new models were developed to capture many phenomena in the Internet.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA435841

Entities

People

  • Bruce Hajek
  • Rayadurgam Srikant

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Computer Networks
  • Control Systems
  • Data Transmission
  • Differential Equations
  • Equations
  • Hypervelocity Flow
  • Internet
  • Motivation
  • Network Topology
  • Networks
  • Packet Loss
  • Probability
  • Routing Protocols
  • Simulations
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Networking