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.

An Open and Scalable Emulation Infrastructure for Large-Scale Real-Time Network Simulations

Abstract: We present a software infrastructure that embeds physical hosts in a simulated network. Aiming to create a large-scale real-time virtual network testbed, our real-time interactive simulation approach combines the advantages of both simulation and emulation, by maintaining flexibility of the simulation models and increasing fidelity as real systems are included in the simulation. In our approach, real-world distributed applications and network services can run together with the real-time simulator; real packets are injected into the simulation and subject to the simulated network conditions computed as a result of both real and virtual traffic competing for network resources. A prototype of the proposed emulation infrastructure has been implemented based on virtual private network (VPN). One distinct advantage of our approach is that it does not require special hardware. Furthermore, it is flexible, secure, and scalable-attributes inherited directly from the VPN implementation. We conducted a set of preliminary experiments to assess the performance limitations of our emulation infrastructure. We also present an interesting case study to demonstrate the capability of our approach.

A Transportation Network Efficiency Measure that Captures Flows, Behavior, and Costs With Applications to Network Component Importance Identification and Vulnerability

Abstract: In this paper, we propose a transportation network efficiency measure that can be used to assess the performance of a transportation network and which differs from other proposed measures, including complex network measures, in that it captures flows, costs, and travel behavior information, along with the topology. The new transportation network efficiency measure allows one to determine the criticality of various nodes (as well as links) as we demonstrate through a network component importance definition, which is well-defined even if the network becomes disconnected. Several illustrative transportation network examples are provided in which the efficiencies and importance of network components are explicitly computed, and their rankings tabulated. This framework can be utilized to assess the vulnerability of network components in terms of their criticality to network efficiency/performance and to, ultimately, enhance security.

Traffic safety forecasting method by particle swarm optimization and support vector machine

Abstract: It is important to establish the decision of traffic safety planning by forecasting the development tendency of traffic accident according to the related data of traffic safety in former years. In order to solve the drawbacks of BP neural network, a novel approach which combines particle swarm optimization and support vector machine (PSO-SVM) is presented to traffic safety forecasting. Firstly, influencing factors of traffic safety and evaluation indexes are analyzed, then traffic safety forecasting model by PSO-SVM is established according to the influencing factors. Finally, the data about traffic safety in China from 1970 to 2006 are applied to research the forecasting ability of the proposed method. The experimental results show that traffic safety forecasting by PSO-SVM is better than that by BP neural network.

Optimal dynamic bandwidth allocation for complex networks

Abstract: Traffic capacity of one network strongly depends on the link’s bandwidth allocation strategy. In previous bandwidth allocation mechanisms, once one link’s bandwidth is allocated, it will be fixed throughout the overall traffic transmission process. However, the traffic load of every link changes from time to time. In this paper, with finite total bandwidth resource of the network, we propose to dynamically allocate the total bandwidth resource in which each link’s bandwidth is proportional to the queue length of the output buffer of the link per time step. With plenty of data packets in the network, the traffic handling ability of all links of the network achieves full utilization. The theoretical analysis and the extensive simulation results on complex networks are consistent. This work is valuable for network service providers to improve network performance or to do reasonable network design efficiently.

Packet routing based on application source

Abstract: A traffic manager may monitor network performance, detect that the network performance has changed, and may prioritize network traffic based on which application or function is associated with the traffic. Each packet of network traffic may be analyzed to determine a source application or source function and allowed or disallowed along the network based on a set of predetermined priorities. Several sets of priorities may be established for various network performance conditions. In some embodiments, traffic may be routed along different paths using the sets of priorities and the source application or function. The traffic manager is adaptable for web-based services, applications, or other functions provided over a network connection.