Improving Intent Correctness with Automated Testing

P. Alcock, Ben Simms, Will Fantom, Charalampos Rotsos, N. Race
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引用次数: 1

Abstract

Intent-based networking (IBN) systems have become the de-facto control abstraction to drive self-service, self-healing, and self-optimized capabilities in service delivery processes. Nonetheless, the operation complexity of modern network infrastructures make network practitioners apprehensive towards adoption in production, requiring further evidence for correctness. In this paper, we argue that testing, verification and monitoring should become first-class citizens in reference IBN architecture, in order to improve the detection errors during operations. Towards this goal, we present an extension for an intent architecture that allows IBN system to validate the correctness of network configuration using realistic network emulation. Furthermore, we present an intent use-case that ensure correct operation in hybrid networks.
通过自动化测试提高意图正确性
基于意图的网络(IBN)系统已经成为驱动服务交付过程中的自服务、自修复和自优化功能的事实上的控制抽象。尽管如此,现代网络基础设施的操作复杂性使网络从业者对其在生产中的采用感到担忧,需要进一步的证据来证明其正确性。在本文中,我们认为测试、验证和监控应该成为参考IBN体系结构中的头等公民,以提高运行过程中的检测误差。为了实现这一目标,我们提出了一个意图体系结构的扩展,它允许IBN系统使用真实的网络仿真来验证网络配置的正确性。此外,我们提出了一个意图用例,以确保在混合网络中正确运行。
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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