Convergence refinement

M. Demirbas, A. Arora
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引用次数: 17

Abstract

Refinement tools such as compilers do not necessarily preserve fault-tolerance. That is, given a fault-tolerant program in a high-level language as input, the output of a compiler in a lower-level language will not necessarily be fault-tolerant. We identify a type of refinement, namely "convergence refinement", that preserves the fault-tolerance property of stabilization. We illustrate the use of convergence refinement by presenting the first formal design of Dijkstra's little-understood 3-state stabilizing token-ring system. Our designs begin with simple, abstract token-ring systems that are not stabilizing, and then add an abstract "wrapper" to the systems so as to achieve stabilization. The system and the wrapper are then refined to obtain a concrete token-ring system, while preserving stabilization. In fact, the two are refined independently, which demonstrates that convergence refinement is amenable for "graybox" design of stabilizing implementations, i.e., design of system stabilization based solely on system specification and without knowledge of system implementation details.
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收敛细化
诸如编译器之类的改进工具不一定保持容错性。也就是说,给定一个用高级语言编写的容错程序作为输入,用低级语言编写的编译器的输出不一定是容错的。我们确定了一种保持镇定容错特性的改进,即“收敛改进”。我们通过展示Dijkstra的鲜为人知的三态稳定令牌环系统的第一个正式设计来说明收敛精化的使用。我们的设计从简单、抽象的不稳定的令牌环系统开始,然后在系统中添加抽象的“包装器”以实现稳定。然后对系统和包装器进行改进,以获得一个具体的令牌环系统,同时保持稳定性。事实上,两者是独立改进的,这表明收敛改进适用于稳定实现的“灰盒”设计,即仅基于系统规范而不了解系统实现细节的系统稳定设计。
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