Fault location method, device and system
A fault location and server technology, applied in the computer field, can solve the problems of frequent system failures, failures cannot be located in time and effectively, and achieve the effect of effective location, rapid and effective location.
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Embodiment 1
[0026] Embodiment 1 of the present invention provides a fault location method, taking the monitoring host 100 as an example, as figure 2 As shown, the method includes the following steps:
[0027] Step 201, sending a monitoring request message;
[0028] Wherein, the monitoring host 100 triggers the monitoring service program of the server by sending a monitoring request message to the server 110 , the server 120 and the server 130 . The request message may adopt a standard network management protocol, such as RPC, SNMP, SYSLOG, script, etc., or a user-defined protocol message. In order to specify the object to be monitored, such as specifying the memory usage of the monitoring server, monitoring parameter information may be carried in the request message, and the monitoring parameter information is used to indicate the parameter to be monitored. In addition, in order to reduce the operating burden of the monitoring host, a certain period of time can be preset to send a moni...
Embodiment 2
[0035] In this embodiment, on the basis of the first embodiment, a step of generating a fault location rule is added. Take the monitoring host 100 as an example, such as image 3 As shown, the method includes the following steps:
[0036] Step 301, generating fault location rules;
[0037] Among them, there are two ways to generate fault location rules, and these two ways can be used in combination or used alone.
[0038] The first method: import historical monitoring data into the self-organizing neural network model, so that the self-organizing neural network model can perform self-learning and generate the fault location rules, for example: the fault location rules can be generated by the self-organizing neural network model , where the self-organizing neural network model is also known as the self-organizing feature mapping (Self-Organization Feature Mapping, SOFM) model, or kohonen model, which can be changed according to certain training samples (that is, the known inp...
Embodiment 3
[0046] Embodiment 3 of the present invention provides a fault location device, such as Figure 4 As shown, the device includes:
[0047] A sending module 410, configured to send a monitoring request message to a server;
[0048] The receiving module 420 is configured to receive the monitoring data message sent by the server, and the monitoring data message includes the operation information of the server;
[0049] The fault location module 430 is configured to analyze the operation information received by the receiving module according to the fault location rules, so as to locate the fault of the server.
[0050] Wherein, the device also includes:
[0051] The location rule generation module 440 is configured to generate the fault location rules through the self-organizing neural network model. The locating rule generation module 440 is specifically used to import historical monitoring data into the self-organizing neural network model, so that the self-organizing neural ne...
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