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Noff: A Novel Extendible Parallel Library for High-Performance Network Traffic Monitoring

机译：Noff：用于高性能网络流量监控的新型可扩展并行库

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摘要

Nowadays, an in-depth understanding of the Internet traffic profile is indispensable. Many network monitoring applications claim the connection-oriented analysis. However, many existing capture tools are too low-performance to cope with the large network traffic flow. Though some tools using traffic sampling can handle heavy network stream, there is information loss. While some parallel methods have been adopted to optimize the performance, there are insufficient extendible easy-use libraries. To feed this demand, this paper proposes a flexible parallel network library (Noff) which has the ability to process the network traffic at speed up to 6 Gbps. Noff supports two kinds of parallel processing procedures on the multi-core architecture to improve system compatibility and performance. Furthermore, Noff proposes a timing wheel scheme to process some network abnormity. For extendibility, Noff also offers many flexible callback interfaces. Some well-designed experimental evaluations indicate that Noff can perform about 25% better than other software libraries in terms of streams processing and can perform much better using a multi-core platform. Under the same circumstance, Noff can also process much higher concurrent traffic. Noff is currently deployed in a campus access point to process traffic at 500-800Mbps speed to offer stream information for a network security monitoring platform.
机译：如今，对Internet流量配置文件的深入了解是必不可少的。许多网络监视应用程序要求进行面向连接的分析。但是，许多现有的捕获工具的性能太低，无法应付庞大的网络流量。尽管一些使用流量采样的工具可以处理繁重的网络流，但是仍然存在信息丢失的问题。虽然已经采用了一些并行方法来优化性能，但是可扩展的易用库不足。为了满足这一需求，本文提出了一种灵活的并行网络库（Noff），该库具有以最高6 Gbps的速度处理网络流量的能力。 Noff在多核体系结构上支持两种并行处理过程，以提高系统兼容性和性能。此外，Noff提出了一种定时轮方案来处理某些网络异常情况。为了扩展，Noff还提供了许多灵活的回调接口。一些经过精心设计的实验评估表明，在流处理方面，Noff的性能比其他软件库好约25％，并且在多核平台上的性能可以好得多。在相同情况下，Noff还可以处理更高的并发流量。 Noff当前部署在园区访问点中，以500-800Mbps的速度处理流量，以为网络安全监视平台提供流信息。

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