A fault location method, device, electronic equipment and storage medium
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A fault location and fault propagation technology, applied in the computer field, can solve problems such as high frequency of system iterations
Active Publication Date: 2020-11-27
北京必示科技有限公司
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Second, service-based systems iterate frequently and often undergo changes
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Embodiment 1
[0062] Embodiment 1 This embodiment provides a fault location method
[0063] Such as figure 1 As shown, the method provided in this embodiment includes:
[0064] S1 performs anomaly detection on the KPI between nodes;
[0065] S2 builds a fault propagation graph between nodes according to the abnormality detection results;
[0066] S3 randomly walks on the fault propagation graph to locate the root cause of the fault, wherein the root cause of the fault is calculated by constructing the transition probability matrix of the fault propagation graph to calculate the root cause suspicion of each node, and by the root cause suspicion Identify the root cause of the failure.
[0067] Such as figure 2 As shown, anomaly detection in S1 includes the following steps:
[0068] S101 Calculate the abnormality of all indicators on the edge where any adjacent node is located;
[0069] S102 selects the maximum value of the abnormality degree as the abnormality degree of the edge;
[0...
Embodiment 2
[0096] Embodiment 2 This embodiment provides another fault location method
[0097] 1. Anomaly detection
[0098] Such as Figure 6 As shown, it is a schematic diagram of the 3-sigma algorithm, where A, B, C, D, and E are several service nodes, and the arrows indicate the call relationship between nodes. It is necessary to perform anomaly detection on each edge on the graph, and each edge contains Several indicators, such as total transaction volume, success rate, response rate, average response time, etc., perform anomaly detection on each indicator.
[0099] In this embodiment, the commonly used 3-sigma algorithm is used for anomaly detection. The specific method is that for each index of each edge, we calculate its abnormal degree, and then select the maximum value of the abnormal degree of all indicators as the abnormal degree of an edge. Finally, we determine whether each edge is abnormal through the threshold of abnormality. The 3-sigma algorithm is as follows:
[0...
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Abstract
The invention relates to the technical field of computers, and discloses a fault positioning method and device, electronic equipment and a storage medium. The method comprises the following steps: carrying out the abnormality detection of an edge where any adjacent node is located; constructing a fault propagation graph between the nodes according to an anomaly detection result; and randomly walking on the fault propagation graph to locate a fault root cause, calculating a root cause suspected degree of each node by constructing a transition probability matrix of the fault propagation graph, and determining the fault root cause through the root cause suspected degree. According to the method, multiple indexes are integrated in an unsupervised mode, the propagation relation of the fault between the services is quantitatively analyzed through the influence of index abnormity between the services on the overall abnormity of the services, the root cause is judged through the random walk algorithm based on the propagation relation, and the method is an effective scheme for automatically positioning the fault root cause service.
Description
technical field [0001] The present invention relates to the technical field of computers, and more specifically, to a fault location method, device, electronic equipment and storage medium. Background technique [0002] Because of its advantages in delivery, scalability, and automation, service-based system architectures are increasingly used in the design of large services. A service-based system typically has tens to hundreds of services deployed on hundreds or thousands of servers. Although there are many techniques applied to such systems to ensure quality, errors are still inevitable. The failure of the system will bring extremely huge economic losses. [0003] Usually, numerous indicator collectors (such as CPU usage, service response rate, success rate, etc.) and anomaly detectors are deployed on each service, and they are used to detect service anomalies. However, manually analyzing system failures is still very challenging. Because in a service-based system, in ...
Claims
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