How to deal with range-based packet classifiers

Vitalii Demianiuk, Kirill Kogan
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引用次数: 5

Abstract

Efficient representations of multi-field packet classifiers with fields represented by ranges is a core mechanism to express services on data plane. To implement classifiers in ternary-addressable memory (TCAM), each range should be encoded into multiple ternary bit strings whose number is at most linear to the width (in bits) of a represented field independently from range encoding method. In this paper we introduce a notion of a subrange allowing to represent a field range on any chosen subset of bit indices that significantly improve efficiency of classifier representations. Our analytic results are confirmed with a comprehensive evaluation study showing applicability of our approach to implement desired levels of expressiveness and scalability in packet classifiers.
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如何处理基于范围的包分类器
用范围表示多字段分组分类器的有效表示是在数据平面上表达服务的核心机制。为了在三元可寻址内存(TCAM)中实现分类器,每个范围应该被编码成多个三元位串,其数量最多与表示字段的宽度(以位为单位)成线性关系,而不依赖于范围编码方法。在本文中,我们引入了一个子范围的概念,允许在任何选择的位索引子集上表示域范围,这显着提高了分类器表示的效率。我们的分析结果通过一项全面的评估研究得到了证实,该研究显示了我们的方法在包分类器中实现所需的表达性和可扩展性水平的适用性。
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