Method for automatically judging server failures
A server, computing server technology, applied in the direction of digital transmission system, electrical components, transmission system, etc., to achieve the effect of automatic prediction and judgment
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Embodiment 1
[0018] see figure 1 Shown is a specific embodiment of the method for automatically identifying server failures described in this application. The method described in this embodiment includes the following steps:
[0019] Step 101: Real-time transmission and aggregation of various operating information in the cluster server to the computing server;
[0020] Step 102: The computing server obtains from the running information set R N Select K initial cluster centers;
[0021] Step 103: Calculate the distance between each data object and the cluster center object according to the initial cluster center;
[0022] Step 104: Re-dividing the clusters to which each point belongs according to the minimum distance between each point and the K cluster centers;
[0023] Step 105: recalculate the center of the changed cluster;
[0024] Step 106: Calculate the standard measure function;
[0025] Step 107: judging whether the standard measurement function meets the preset condition, if t...
Embodiment 2
[0042] For a more detailed description of the present invention, see figure 2 Shown is another specific embodiment of the method for automatically identifying server failures described in this application. The method described in this embodiment includes the following steps:
[0043] Step 201: Real-time transmission and summarization of multiple types of operating information in the cluster server to the computing server, the multi-type operating information data includes but not currently scheduled for each server's cpu, load (load), memory (mem), input Output (io) running information data;
[0044] Step 202: The computing server obtains from the running information set R N Select K initial cluster centers; Step 203: Calculate the distance between each data object and the cluster center object according to the initial cluster centers;
[0045] Step 204: Re-dividing the clusters to which each point belongs according to the minimum distance between each point and the K clust...
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