Lancet: Better network resilience by designing for pruned failure sets

Yiyang Chang, Chuan Jiang, Ashish Chandra, Sanjay G. Rao, Mohit Tawarmalani
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引用次数: 1

Abstract

Recently, researchers have started exploring the design of route protection schemes that ensure networks can sustain traffic demand without congestion under failures. Existing approaches focus on ensuring worst-case performance over simultaneous f-failure scenarios is acceptable. Unfortunately, even a single bad scenario may render the schemes unable to protect against any f-failure scenario. In this paper, we present Lancet, a system designed to handle most failures when not all can be tackled. Lancet comprises three components: (i) an algorithm to analyze which failure scenarios the network can intrinsically handle which provides a benchmark for any protection routing scheme, and guides the design of new schemes; (ii) an approach to efficiently design a protection schemes for more general failure sets than all f-failure scenarios; and (iii) techniques to determine which of combinatorially many scenarios to design for. Our evaluations with real topologies and validations on an emulation testbed show that Lancet outperforms a worst-case approach by protecting against many more scenarios, and can even match the scenarios handled by optimal network response.
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柳叶刀:通过设计精简的故障集来提高网络的弹性
最近,研究人员开始探索路线保护方案的设计,以确保网络在故障情况下能够维持交通需求而不会出现拥堵。现有的方法侧重于确保在同时发生f-failure的情况下,最坏情况的性能是可以接受的。不幸的是,即使是一个糟糕的场景也可能使方案无法防止任何f-failure场景。在本文中,我们提出了柳叶刀,一个系统,旨在处理大多数故障,当不是所有的可以解决。Lancet包括三个部分:(i)分析网络本质上可以处理哪些故障场景的算法,为任何保护路由方案提供基准,并指导新方案的设计;(ii)一种有效设计保护方案的方法,适用于比所有f-failure场景更一般的故障集;(iii)确定在组合众多场景中设计哪种场景的技术。我们对真实拓扑的评估和仿真测试平台上的验证表明,Lancet通过保护更多的场景来优于最坏情况方法,甚至可以匹配最优网络响应处理的场景。
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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