STOW Traffic and Related Issues.

Abstract

The Distribution Interactive Simulation (DIS) program has responded to the needs of having a common, standardized environment in which a large number of simulation nodes can interact in real time with each other. An early phase of the DiS program is the Synthetic Theater of War-Europe (STOW-E) demonstration, which was conducted in November 1994. We analyze the STOW-E traffic using sample statistical techniques and find the following: At small time scales, the LAN traffic oscillates between burstiness and smoothness, whereas the WAN traffic exhibits smoothness. However, both the LAN and the WAN traffic exhibit high burstiness on larger time scales. Therefore, the traffic shows characteristics that would be produced by Poisson-type and self-similar processes. Additionally, in comparing the STOW-E traffic with an asymptotically self-similar process, we find that it has unusually high Hurst parameter (i.e., H -1). It is well kmown that time-dependent processes can yield characteristics resembling correlated components or self-similarity. A simple mathematical model for the traffic is an uncorrelated process whose parameters vary according to another asymptotically self similar process of high burstiness. Since a combination of self-similar processes results in an asymptotically self-similar process, we conjecture that future STOW traffic should behave as asymptotically modulated self-similar processes.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1996
Accession Number
ADA307399

Entities

People

  • Gam D. Nguyen
  • Stephen G. Batsell

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computer Networks
  • Computing System Architectures
  • Distribution Functions
  • Ethernet
  • Frequency
  • Information Systems
  • Local Area Networks
  • Mathematical Models
  • Models
  • Network Protocols
  • Networks
  • Ocean Surveillance
  • Random Variables
  • Simulations
  • Statistics
  • Test And Evaluation

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computer Networking
  • Military Training and Readiness Simulation