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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.


Papers
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01 Oct 1993
TL;DR: In this paper, the process of obtaining network traffic data from probe vehicles is examined such that statistical sampling equations can be developed that provide both theoretical and practical estimates of the reliability of these probe data.
Abstract: This paper has two main objectives. First, the process of obtaining network traffic data from probe vehicles is examined such that statistical sampling equations can be developed that provide both theoretical and practical estimates of the reliability of these probe data. Second, using an example network, the traffic simulation model results are compared against the analytical results. The validation of simulation based results permits the simulation model to be used for more complex situations, for which statistical analyses are no longer practical, and to determine the overall impact of the various statistical approximations that had to be made within the analytical solutions.

55 citations

01 Jan 2007
TL;DR: Wireless and mobile networks present substantial challenges in the validation of large-scale network models and simulation, even beyond the already difficult problem of validation in more conventional wired and stationary networks.
Abstract: Wireless and mobile networks present substantial challenges in the validation of large-scale network models and simulation, even beyond the already difficult problem of validation in more conventional wired and stationary networks. These additional challenges are due to the complications and subtleties of physical movement and wireless propagation, making the system highly variable and substantially increasing the complex interactions between the parts of the system and the surrounding environment. These same factors also make wireless and mobile experiments in the real world not easily or accurately repeatable, reducing the use of such experiments for validation. In particular, the position and movement of nodes in the network can have a significant effect on the behavior and performance of the system being modeled. The position and possible movement of other objects in the environment around the nodes themselves, such as buildings, hills, and trees, or vehicles, people, and rain, can also significantly effect the system being modeled. Furthermore, to accurately control an entire experiment in the real world, all of these positions and movements would need to be controlled to within a fraction of a wavelength of the radios involved, due to differences in the radio multipath environment even such small position differences can cause. Having complete control over all of these factors is simply not fully achievable in any real system, and so models and real experiments, to some degree, can only be approximations.

55 citations

Proceedings ArticleDOI
23 Feb 2005
TL;DR: This paper highlights the key issues in integrated network experimentation and presents some of the design techniques used in designing, building, and putting into public production use such an integrated environment, running on a space-shared cluster.
Abstract: Discrete-event packet-level network simulation is well-known and widely used. Network emulation is a hybrid approach that combines real elements of a deployed networked application-such as end hosts and protocol implementations-with synthetic, simulated, or abstracted elements-such as the network links, intermediate nodes and background traffic. A key difference between the two approaches is that in the former, the notion of time is virtual and is independent of real time, whereas the latter must execute in real time. Emulation gains realism while naturally foregoing complete repeatability; historically, emulation was also tedious to control and manage. We define integrated network experimentation as spatially combining real elements with simulated elements in the same experimental run, each modeling different portions of a network topology. Integrated experiments enable new validation techniques and larger experiments than obtainable by using real elements alone. This paper highlights the key issues in integrated network experimentation and presents some of the design techniques we use in designing, building, and putting into public production use such an integrated environment, running on a space-shared cluster.

54 citations

Patent
21 Dec 2001
TL;DR: In this paper, traffic situation in the network is measured, and traffic flow is controlled on the basis of the measured traffic situation, and an operator may define rules for different measured situations, and the traffic flow are controlled based on these rules.
Abstract: According to the present invention, traffic control in an IP based network is provided. For this purpose, traffic situation in the network is measured, and the traffic flow is controlled on the basis of the measured traffic situation. Moreover, an operator may define rules for different measured situations, and the traffic flow is controlled on the basis of these rules.

54 citations

Patent
18 Nov 2002
TL;DR: In this paper, an upgrade system receives new electronic files and generates target lists of host device models/users that are to receive the new file information including upgrades and/or upgrade notifications.
Abstract: In scheduling updates of original electronic files, an upgrade system receiving new electronic files generates target lists of host device models/users that are to receive the new file information. The new file information includes upgrades and/or upgrade notifications. In response to the target lists, the upgrade system uses delivery rules to generate a delivery schedule for delivery of the information to the devices. The upgrade system executes a network traffic simulation using the delivery schedule. The simulation applies the delivery schedule to the network in order to estimate the network traffic capacity that would result from transferring the new file information in accordance with the delivery schedule. The upgrade system refines the delivery schedule, using results of the simulation, in order to optimize network performance. The upgrade system transmits the new file information to the appropriate devices in accordance with the refined delivery schedule.

54 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202312
202255
20212
20202
20195
201815