Method for Estimating Locations of Service Problem Causes in Service Function Chaining
Method for Estimating Locations of Service Problem Causes in Service Function Chaining
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DOI：
10.1109/glocom.2014.7416993
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发表时间：
2014-12
期刊：
影响因子：
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通讯作者：
Aiko Oi;Daiki Endou;T. Moriya;H. Ohnishi
中科院分区：
文献类型：
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作者：
Aiko Oi;Daiki Endou;T. Moriya;H. Ohnishi
我们提出了一种方法，通过使用测试数据包来估计数据中心网络的业务功能链（sfc）中故障或质量恶化的原因的位置。我们的方法在服务质量恶化的情况下特别有效，因为物理和虚拟组件没有通知警报。该方法通过创建关联ID对SFC配置进行建模，关联ID标识了物理网络元素和SFC组件的虚拟化元素之间的相关性，从而使我们能够找到所有SFC共有的组件，这些组件要么处于故障状态，要么正在恶化。我们将这些常见组件视为sfc中可能出现服务问题的位置。由于将该方法应用于数据中心网络中的sfc，它大大减少了候选原因的数量和计算时间。
We propose a method for estimating the locations of the causes of failure or deterioration in quality in the service function chains (SFCs) of datacenter networks by using tests packets. Our method is especially effective in service-quality deterioration where no alarms are notified from physical and virtual components. This method models SFC configurations by creating a correlation ID, which identifies a correlation between physical network elements and virtualized elements of the SFC components to enable us to find the components common to all SFCs that are either in failure or deteriorating. We consider such common components as locations where service problems can occur in SFCs. As a result of applying this method to SFCs in datacenter networks, it drastically reduced the number of candidate causes and computation time.