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Comparative Evaluation of Packet Classification Algorithms for Implementation on Resource Constrained Systems

机译:用于资源受限系统的分组分类算法的比较评估

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摘要

This paper provides a comparative evaluation of a number of known classification algorithms that have been considered for both software and hardware implementation. Differently from other sources, the comparison has been carried out on implementations based on the same principles and design choices. Performance measurements are obtained by feeding the implemented classifiers with various traffic traces in the same test scenario. The comparison also takes into account implementation feasibility of the considered algorithms in resource constrained systems (e.g. embedded processors on special purpose network platforms). In particular, the comparison focuses on achieving a good compromise between performance, memory usage, flexibility and code portability to different target platforms.
机译:本文对软件和硬件实现中考虑的许多已知分类算法进行了比较评估。与其他来源不同,在基于相同原理和设计选择的实现上进行了比较。通过在相同的测试场景中向实现的分类器提供各种流量跟踪,即可获得性能度量。该比较还考虑了在资源受限的系统(例如,专用网络平台上的嵌入式处理器)中所考虑算法的实现可行性。尤其是,比较着重于在性能,内存使用率,灵活性和代码可移植性到不同目标平台之间取得良好的折衷。

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