柳叶刀:通过设计精简的故障集来提高网络的弹性

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

摘要

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。
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Lancet: Better network resilience by designing for pruned failure sets
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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