Collaborative Research: CRI: CRD Synthetic Traffic Generation Tools and Resources: A Community Resource for Experimental Networking Research

长期以来，网络研究一直依赖于模拟，将其作为演示所提议的协议和机制的有效性的主要工具。通常，使用例如广泛使用的NS-2模拟器在软件中模拟网络硬件和软件。实验通过模拟使用诸如ftp或网络浏览器之类的应用程序的给定用户群对网络的使用来进行。合成负载生成器用于根据应用程序或用户行为的模型将数据注入网络。为了执行真实的网络模拟，需要一个能够以闭环方式生成真实合成流量的流量生成器。在实际网络上发现的流量。不幸的是，网络社区缺乏适用于合成流量生成的经过验证的工具和模型。因此，经常使用与真实链路上看到的流量存在未知关系的临时工作负载来评估网络技术，因此，评估结果的可信度是一个问题。该项目是一个合作项目，旨在为实验网络研究社区开发合成流量生成资源。该资源包括(1)用于ns-2、ns-3和GTNets软件模拟器以及基于Linux和BSD的试验床的合成流量生成器，(2)流量生成器用来生成在统计上等同于在包括园区网、广域骨干网、公司内部网、无线网络等各种网络链路上发现的流量的数据集的储存库，以及(3)一组流量分析工具，以使研究人员能够生成感兴趣的网络链路上的流量的经验模型，并使用这些模型来驱动合成流量生成过程。

Networking research has long relied on simulation as the primary vehicle for demonstrating the effectiveness of proposed protocols and mechanisms. Typically, one simulates network hardware and software in software using, for example, the widely used ns-2 simulator. Experimentation proceeds by simulating the use of the network by a given population of users using applications such as ftp or web browsers. Synthetic workload generators are used to inject data into the network according to a model of how the applications or users behave.In order to perform realistic network simulations, one needs a traffic generator that is capable of generating realistic synthetic traffic in a closed-loop fashion that ?looks like? traffic found on an actual network. Unfortunately, the networking community suffers from a lack of validated tools and models suitable for synthetic traffic generation. As a result, all too often, networking technology is evaluated using ad hoc workloads with an unknown relationship to traffic seen on real links and hence begs the question of how believable the results of the evaluation are.This project is a collaborative effort to develop a synthetic traffic generation resource for the experimental networking research community. The resource consists of (1) synthetic traffic generators for the ns-2, ns-3, and GTNets software simulators, and Linux and BSD-based testbeds, (2) a repository of datasets to be used by the traffic generators to generate traffic that is statistically equivalent to traffic found on a variety of network links including campus networks, wide-area backbone networks, corporate intranets, wireless networks, etc, and (3) a set of traffic analysis tools to enable researchers to generate empirical models of traffic on network links of interest and to use these models to drive the synthetic traffic generation process.