Network traffic simulation

About: Network traffic simulation is a research topic. Over the lifetime, 4535 publications have been published within this topic receiving 74606 citations.

Machine-to-Machine traffic characterization: Models and case study on integration in LTE

Abstract: This paper analyses and compares three different models for Machine-to-Machine (M2M) traffic and investigates the possibility of integrating generated M2M traffic into a Long Term Evolution (LTE) network. According to the authors' knowledge, current M2M traffic models assume that 1) the M2M traffic is aggregated traffic with constant arrival rate and 2) the cellular networks have enough resources to support the generated traffic. However, neither 1) nor 2) are true for M2M traffic in cellular networks. This paper analyses M2M traffic with variable arrival rate under the assumption that the LTE network has limited resources. The results showcase the characteristics of the M2M traffic in a more realistic manner pinpointing the differences from the standard traffic in cellular network. They reveal that the traffic is not self-similar, but only for large number of machines. Also, the results give insight into the design parameters that should be considered for LTE in order to support M2M traffic.

Energy efficient multilayer traffic engineering

Abstract: Simulation shows how energy efficiency aware multilayer traffic engineering taking into account network equipment power characteristics can optimize IP-over-optical networks for diurnal traffic variations, lowering total power requirements

Traffic Simulation using Agent-Based Modelling

Abstract: This report follows the design and implementation of a traffic simulator written in NetLogo, an agent-based modelling environment. The system is developed with a view to analysing the likely effect of congestion-reducing schemes, in particular high occupancy vehicle lanes. The simulator is calibrated and validated using data from traffic studies, and then a section of road in South Gloucestershire is modelled to investigate the introduction of high occupancy vehicle lanes. The results suggest that the high occupancy vehicle lane fulfils its objectives by significantly reducing travel times for car sharers without adversely affecting other drivers.

A Model for Real-Time Traffic Coordination Using Simulation Based Optimization

Abstract: An approximate traffic model, APRES-NET, is proposed for a simulation-based optimization approach for real-time network coordination of traffic flows. The objective of APRES-NET is twofold: to provide network-wide prediction of traffic movements and to evaluate, approximately but quickly, the performance of any signal timing strategy. To make a prediction, it uses the observed network vehicular traffic and signal data for a period of time, a future signal plan, and statistical information on vehicle movement, to predict the traffic for some future time period. The APRES-NET simulation consists of propagating into the future the movement of the vehicles detected in the network during the “last detection period”. To quickly, and approximately, simulate the vehicle movement through the whole network, a simplified queuing mechanism is implemented at the intersections. At an intersection, a turn is assigned to each vehicle based on turning probabilities. Performance measures are calculated continuously as the simulation run is being conducted. APRES-NET is being used for real-time coordination of signal phase timings by making it behave as a “function evaluator” in an iterative optimization scheme. The paper discusses the basic structure and the algorithms used by APRES-NET.

High-speed and high-fidelity system and method for collecting network traffic

Abstract: A system is provided for the high-speed and high-fidelity collection of network traffic. The system can collect traffic at gigabit-per-second (Gbps) speeds, scale to terabit-per-second (Tbps) speeds, and support additional functions such as real-time network intrusion detection. The present system uses a dedicated operating system for traffic collection to maximize efficiency, scalability, and performance. A scalable infrastructure and apparatus for the present system is provided by splitting the work performed on one host onto multiple hosts. The present system simultaneously addresses the issues of scalability, performance, cost, and adaptability with respect to network monitoring, collection, and other network tasks. In addition to high-speed and high-fidelity network collection, the present system provides a flexible infrastructure to perform virtually any function at high speeds such as real-time network intrusion detection and wide-area network emulation for research purposes.