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Metroflux: a high performance system for analysing flow at very fine-grain

机译:Metroflux:高性能系统,用于分析在非常细粒度的流动

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Researches in network traffic analysis embrace a large diversity of goals and are based on a variety of methodologies and tools. To have a better insight on the real nature and on the evolution of network traffic we argue that fine-grain analysis of real traffic traces have to complement simulations studies as well as coarse grain measurement performed by classical flow measurement systems. In particular, packet level measurements and analysis are needed. However, such methodologies are resource consuming and require very high performance devices to be operational in real high speed networks. In this paper we present the Metroflux system which aims at providing researchers and network operators with a very flexible and accurate packet-level traffic analysis toolkit configured for 1Gbps and 10Gbps speed links. This system is based on the GtrcNet FPGA-based device technology and on specific statistical analysis tools. We show that the association of the unique fully reconfigurable grid testbed Grid5000 (up to 5000 independant high speed fully controllable sources) with a highly flexible packet capture tool allows us to achieve a unique and innovative large scale experimental potential. We also present the Network experiment Engine (NXE) we have developed to automate the excecution of experiments in real networks. We illustrate the application of the Metroflux system with the practical validation of the theoretical prediction relating self-similarity and heavy tails given by Taqqu theorem. We also illustrate several usages of this toolset, such as the investigation of conditions under which several traffic theories apply, as well as studies on traffic, protocols and systems interactions.
机译:网络流量分析的研究拥抱了大量的目标,并基于各种方法和工具。为了更好地了解真正的性质和网络流量的演变,我们认为真正的交通迹线的细晶粒分析必须补充模拟研究以及通过经典流量测量系统进行的粗粒测量。特别地,需要分组级测量和分析。然而,这种方法是资源消耗,并且需要在真正的高速网络中进行非常高的性能设备。在本文中,我们介绍了Metroflux系统,该系统旨在为研究人员和网络运营商提供一个非常灵活,准确的数据包级流量分析工具包,配置为1Gbps和10Gbps速度链路。该系统基于基于GTRCNet FPGA的设备技术和特定的统计分析工具。我们表明,具有高度灵活的数据包捕获工具的独特完全可重构网格测试平网(最多5000个独立的高速完全可控源)的关联使我们能够实现独特而创新的大规模实验潜力。我们还提供了网络实验引擎(NXE),我们已经开发出来自动化真实网络中的实验。我们说明了Metroflux系统的应用与Taqqu定理提供的自相似性和重型尾部的理论预测的实际验证。我们还说明了该工具集的若干用法,例如对多个交通理论的调查,以及对交通,协议和系统交互的研究。

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