On rule width and the unreasonable effectiveness of policy verification

H. B. Acharya
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引用次数: 1

Abstract

Policies, such as routing tables and firewalls, are fundamental components of networking infrastructure. Unfortunately, existing policy verification and optimization algorithms require O(nd) time, where n is the number of rules (thousands), and d the number of fields (usually <; 10). However, these algorithms perform very well in practice. In this paper, we provide the explanation for this result: n and d are not the only parameters of interest! Through experimental study of our Parallel Next-step Lookup system PaNeL, as well as the FDD and Probe algorithms for policy verification, we clearly demonstrate the importance of our proposed new metric - the “width index”. Some established algorithms (such as FDD, used for structured firewall design) indeed become intractable for policies with poor width index values. We therefore suggest that the “unreasonable effectiveness” of such algorithms for practical policies is possible because such policies have a reasonable width index.
论规则宽度与政策验证有效性的不合理
策略,如路由表和防火墙,是网络基础设施的基本组件。不幸的是,现有的策略验证和优化算法需要O(nd)时间,其中n为规则数(千),d为字段数(通常<;10)。然而,这些算法在实践中表现得非常好。在本文中,我们对这一结果给出了解释:n和d不是唯一感兴趣的参数!通过对并行下一步查找系统面板的实验研究,以及用于策略验证的FDD和Probe算法,我们清楚地证明了我们提出的新度量-“宽度指数”的重要性。某些已建立的算法(例如用于结构化防火墙设计的FDD)对于宽度指标值较差的策略确实变得难以处理。因此,我们认为这种算法对实际政策的“不合理的有效性”是可能的,因为这些政策具有合理的宽度指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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