Facilitating the Verification of Diffusing Computations and Their Applications

T. Vos, S. Swierstra
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Abstract

We study a class of distributed algorithms, generally known by the name of diffusing computa- tions, that play an important role in all kinds distributed and/or database applications to perform tasks like termination detection, leader election, or propagation of information with feedback. We construct a highly parameterized abstract algorithm and shown that many existing algorithms and their applications can be obtained from this abstract algorithm by instantiating the parameters appropriately and/or refining some of its actions. Subsequently, we show that this use of param- eterization and re-usability of notation and proof leads to a reduction of the effort and cost of developing and verifying distributed diffusing computations. More specific, we show that proving the correctness of any application now boils down to verifying an application-specific safety prop- erty and reusing the termination and safety proofs of the underlying abstract algorithm.
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促进扩散计算的验证及其应用
我们研究了一类分布式算法,通常被称为扩散计算,它在各种分布式和/或数据库应用程序中发挥重要作用,以执行诸如终止检测,领导者选举或带有反馈的信息传播等任务。我们构造了一个高度参数化的抽象算法,并证明了许多现有的算法及其应用可以通过适当地实例化参数和/或改进它的一些动作来获得。随后,我们证明了这种参数化和符号和证明的可重用性的使用可以减少开发和验证分布式扩散计算的工作量和成本。更具体地说,我们表明证明任何应用程序的正确性现在归结为验证特定于应用程序的安全属性和重用底层抽象算法的终止和安全证明。
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