ACL2中分析协议分析的案例研究

Max von HippelNortheastern University, Panagiotis ManoliosNortheastern University, Kenneth L. McMillanUniversity of Texas at Austin, Cristina Nita-RotaruNortheastern University, Lenore ZuckUniversity of Illinois Chicago
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引用次数: 0

摘要

在验证计算机系统时,我们有时想研究它们的渐近行为,即它们在长期运行中的行为。在这种情况下,我们需要真正的分析,这是数学中处理极限和微积分基础的领域。在之前的工作中,我们在ACL2s中使用实态分析来研究RTO计算的渐近行为,RTO计算通常用于互联网上的拥塞控制算法。我们的RTO计算分析中的一个关键部分是在ACL2s中证明,对于[0,1)中的所有α, α趋近于无穷时的极限为0。虽然最明显的证明策略涉及对数,其上域包括无理数,但默认情况下ACL2只支持有理数,这迫使我们采取非标准方法。在本文中,我们从一个相对较新的用户的角度,探讨了在ACL2(r)和ACL2s中证明上述结果的不同方法。我们还通过展示它如何允许我们证明RTO计算的重要渐近性质来将定理上下文化。最后,我们讨论了各种证明策略之间的权衡和未来研究的方向。
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A Case Study in Analytic Protocol Analysis in ACL2
When verifying computer systems we sometimes want to study their asymptotic behaviors, i.e., how they behave in the long run. In such cases, we need real analysis, the area of mathematics that deals with limits and the foundations of calculus. In a prior work, we used real analysis in ACL2s to study the asymptotic behavior of the RTO computation, commonly used in congestion control algorithms across the Internet. One key component in our RTO computation analysis was proving in ACL2s that for all alpha in [0, 1), the limit as n approaches infinity of alpha raised to n is zero. Whereas the most obvious proof strategy involves the logarithm, whose codomain includes irrationals, by default ACL2 only supports rationals, which forced us to take a non-standard approach. In this paper, we explore different approaches to proving the above result in ACL2(r) and ACL2s, from the perspective of a relatively new user to each. We also contextualize the theorem by showing how it allowed us to prove important asymptotic properties of the RTO computation. Finally, we discuss tradeoffs between the various proof strategies and directions for future research.
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