Network failures can significantly degrade the network performance in several ways, ranging from experiencing unacceptable delays (e.g., in video conference applications) to leading to significant drops in sales for companies (e.g., airlines tickets purchases). In this paper, we focus on network failures caused by links that are prone to fail due to their advanced stage of lifetime. In particular, the formalization of the Hardware Deterioration Failure Mode (HDFM) for network line cards is provided to evaluate the penalty for network operators of handling HDFM failing links using classical methods based on Bidirectional Forwarding Detection and Fast Re-Route mechanisms. An algorithm, named Hardware Deterioration Detection (HDD), is proposed to detect if links are experiencing failures as well as to provide an estimation of their remaining lifetime. The performance evaluation over data generated by our provided network failure simulator shows that HDD is able to correctly classify links as failing or not failing, regardless of the type of failure considered. Moreover, overall descriptions for failure models in which HDD is able to produce high quality estimations of the remaining lifetime have been identified, with a trade-off between the hardware deterioration time dependence and the relationship between lifetime and packet loss probability.

网络故障可以通过几种方式显着降低网络性能，从经历不可接受的延迟（例如，在视频会议应用程序中）到导致公司的销售大幅下降（例如，机票购买）。在本文中，我们将重点讨论由于链路处于生命周期的高级阶段而容易导致故障的网络故障。特别是，提供了用于网络线卡的硬件恶化故障模式（HDFM）的形式化规范，以评估网络运营商使用基于双向转发检测和快速重路由机制的经典方法处理HDFM失败链路的代价。提出了一种称为硬件劣化检测（HDD）的算法，用于检测链路是否发生故障并提供对它们剩余寿命的估计。通过我们提供的网络故障模拟器生成的数据进行的性能评估表明，HDD能够正确地将链接分类为失败还是不失败，而不考虑所考虑的失败类型。此外，已经确定了故障模型的整体描述，其中HDD能够对剩余寿命进行高质量评估，并且在硬件恶化时间依赖性和寿命与丢包率之间的关系之间进行了权衡。