Fault diagnosis in network virtualization environment
Fault diagnosis in network virtualization environment
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DOI：
10.1109/cts.2011.5898980
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发表时间：
2011-05
期刊：
影响因子：
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通讯作者：
YaDung. Pan;Xue-song Qiu;Shun-li Zhang
中科院分区：
文献类型：
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作者：
YaDung. Pan;Xue-song Qiu;Shun-li Zhang
虚拟网络已经成为未来网络的一个强大而灵活的平台。虚拟服务的可靠性依赖于网络有效诊断和恢复故障的能力。但虚拟网络灵活的特性给虚拟化故障诊断带来了新的挑战，如网络的可扩展性、底层网络故障信息的不可访问性、网络观测的不完整性和不准确性、网络故障因果关系的动态性以及多层次复杂性等。为了解决这些问题，本文提出了一种虚拟网络故障诊断框架（VNFD）。VNFD可以使用监测系统报告的观察到的端到端症状来获得一组潜在的故障组件，用于评估其故障可能性，并选择最可能的故障假设集来解释所有观察到的症状。VNFD可以定位根本原因，而不依赖于衬底网络故障概率量化（例如，先验故障概率）。仿真和实验研究表明，VNFD可以有效和准确地得到一个假设集解释所有观察到的症状，即使症状是不完整和不准确的。
Virtual networks have emerged as a powerful and flexible platform for future network. The dependability of virtual services relies on the network's capabilities to effectively diagnose and recover faults. But the flexible characteristics of virtual networks bring to virtualization fault diagnosis new challenges, such as network scalability, inaccessible substrate network fault information, incomplete and inaccurate network observations, dynamic symptom-fault causality relationships, and multi-layer complexity. To tackle with these challenges, the paper proposes a virtual network fault diagnosis framework (called VNFD). VNFD can use observed end-to-end symptoms reported by monitoring systems to get a set of potential faulty components for evaluating their fault likelihood, and select the most likely faulty hypothesis set to explain all the observed symptoms. VNFD can locate root causes without relying on substrate network fault probabilistic quantification (e.g. prior fault probability). Simulations and experimental studies show that VNFD can efficiently and accurately get a hypothesis set explaining all the observed symptoms, even when the symptoms are incomplete and inaccurate.