Program synthesis for networks

Pavol Cerný
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Abstract

Software is eating the world. But how will we write all the programs to control everything from sensors to data centers? Program synthesis provides an answer. It increases the productivity of programmers by enabling them to capture their insights in a variety of forms, not just in standard code. In this tutorial, we focus on some challenges in programming networks, and we show how program synthesis algorithms can help. Developing network programs is difficult, as networks are large distributed systems. In particular, implementing programs that update the configuration of a network in response to events is an intricate problem. First, even if initial and final configurations are correct, subtle bugs in update programs can lead to incorrect transient behaviors, including forwarding loops, black holes, and access control violations. Second, if the update program reacts to events occurring near simultaneously in different parts of the network, naive implementations can lead to causality violations and conflicts. We present scalable program synthesis algorithms that produce network programs that are both correct by construction and efficient.
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网络程序综合
软件正在吞噬世界。但是,我们将如何编写所有的程序来控制从传感器到数据中心的一切?程序综合提供了一个答案。它使程序员能够以各种形式获取他们的见解,而不仅仅是在标准代码中,从而提高了程序员的生产力。在本教程中,我们将关注编程网络中的一些挑战,并展示程序合成算法如何提供帮助。开发网络程序是困难的,因为网络是大型分布式系统。特别是,实现更新网络配置以响应事件的程序是一个复杂的问题。首先,即使初始和最终配置是正确的,更新程序中的细微错误也可能导致不正确的瞬态行为,包括转发循环、黑洞和访问控制违规。其次,如果更新程序对几乎同时发生在网络不同部分的事件作出反应,天真的实现可能导致因果关系的违反和冲突。我们提出了可扩展的程序合成算法,该算法生成的网络程序既正确又高效。
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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