Realistic Traffic Generation Capability for SAAM Testbed

Abstract

Traffic modeling is an important component of the design of any communication network. This is even more crucial emerging networks, which are expected to operate in high speed and high bandwidth environments. As the design of a network depends to a great extent on the types of traffic it is expected to carry, it is essential to characterize the traffic that a network expected to carry. This is where traffic models are very important. They can be used to produce artificial traffic input that exhibits essential characteristics of real network loads. This thesis describes a design and implementation of a general-purpose traffic generator for a test bed of the Server a Agent Based Active Network Management (SAAM) architecture. The traffic generator is easy to use and implements the four most important traffic models (Constant Bit Rate (CBR), Poisson, Packet-Train, and Self-Similar). With this traffic generator, SAAM project now has the capability of simulating and testing the system components in more accurate and more realistic environments.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2001
Accession Number
ADA390418

Entities

People

  • Fatih Turksoyu

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Application Protocols
  • Computer Communications
  • Computer Networks
  • Computer Programming
  • Computer Programs
  • Computers
  • Digital Communications
  • Electronic Mail
  • Internet
  • Local Area Networks
  • Network Protocols
  • Network Science
  • Network Topology
  • Stationary Processes
  • Stochastic Processes
  • Transport Protocols

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Neural Network Machine Learning.