在空间-地面综合网络中实现弹性和性能保证路由

Zeqi Lai, Hewu Li, Yikun Wang, Qian Wu, Yangtao Deng, Jun Liu, Yuan-Fang Li, Jianping Wu
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引用次数: 0

摘要

新兴空间-地面综合网络(STINs)中的卫星路由器在故障易发、间歇性和资源受限的空间环境中运行,因此有效应对各种网络故障非常关键,但也具有挑战性。现有的弹性路由方法要么遭受低网络可达性的持续重新收敛的困扰,要么由于stin中可能出现的大量故障场景而涉及令人望而却步的预计算和存储开销。本文提出了StarCure,一种用于未来STINs的新型弹性路由机制。StarCure旨在实现快速高效的路由恢复,同时在故障易发的空间环境中保持低延迟、高带宽的服务能力。首先,StarCure引入了一种新的网络模型,称为拓扑稳定模型(TSM),通过将各种故障引起的拓扑变化转换为流量变化来消除拓扑不确定性。其次,StarCure采用自适应混合路由方案,将约束优化器与位置导向保护路由策略协同结合,有效处理可预测的故障,并快速处理不可预测的故障。由实际星座信息驱动的广泛评估表明,与其他现有的弹性解决方案相比,StarCure可以保护路由免受各种故障的影响,在可接受的系统开销下实现接近100%的可达性和更好的性能恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Achieving Resilient and Performance-Guaranteed Routing in Space-Terrestrial Integrated Networks
Satellite routers in emerging space-terrestrial integrated networks (STINs) are operated in a failure-prone, intermittent and resource-constrained space environment, making it very critical but challenging to cope with various network failures effectively. Existing resilient routing approaches either suffer from continuous re-convergences with low network reachability, or involve prohibitive pre-computation and storage overhead due to the huge amount of possible failure scenarios in STINs.This paper presents StarCure, a novel resilient routing mechanism for futuristic STINs. StarCure aims at achieving fast and efficient routing restoration, while maintaining the low-latency, high-bandwidth service capabilities in failure-prone space environments. First, StarCure incorporates a new network model, called the topology-stabilizing model (TSM) to eliminate topological uncertainty by converting the topology variations caused by various failures to traffic variations. Second, StarCure adopts an adaptive hybrid routing scheme, collaboratively combining a constraint optimizer to efficiently handle predictable failures, together with a location-guided protection routing strategy to quickly deal with unexpected failures. Extensive evaluations driven by realistic constellation information show that, StarCure can protect routing against various failures, achieving close-to-100% reachability and better performance restoration with acceptable system overhead, as compared to other existing resilience solutions.
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