Characterization of General TCP Traffic under a Large Number of Flows Regime

Abstract

Short-lived Transmission Control Protocol (TCP) traffic (e.g., web mice) composes the majority of the current Internet traffic. Accurate traffic modeling of a large number of short-lived TCP flows is extremely difficult due to the interaction between session, transport, and network layers, and the explosion of the size of state space when the number of flows is large. Typically, ad-hoc assumptions are required for the analysis to be tractable under a certain regime. The authors introduce a stochastic model of a bottleneck ECN/RED gateway under a large number of competing TCP flows. The main result shows that as the number of flows becomes large, the queue dynamics and the aggregate traffic are simplified and can be accurately described by simple statistical recursions. These recursions can be evaluated independently of the number of flows, and hence the resulting traffic model is scalable. Furthermore, the limiting model also is consistent with other previously proposed models in their respective regime. Simulation results are presented to confirm the results.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 23, 2002
Accession Number
ADA451997

Entities

People

  • Armand M. Makowski
  • Peerapol Tinnakornsrisuphap
  • Richard J. La

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Classification
  • Computer Communications
  • Contracts
  • Dynamics
  • Electrical Engineering
  • Engineering
  • Explosions
  • Information Operations
  • Instructions
  • Internet
  • Iterations
  • Maryland
  • Monitoring
  • Network Protocols
  • Universities

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Fluid Mechanics and Fluid Dynamics.
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • Space