Server fault determination method, device and equipment and readable storage medium
A determination method and server technology, applied in instrumentation, design optimization/simulation, calculation, etc., can solve problems affecting user experience, cluster load fluctuations are too large, etc., to achieve the effect of improving user experience and reducing time consumption
Pending Publication Date: 2022-05-13
LENOVO (BEIJING) LTD
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[0003] In view of this, the embodiment of the present application provides a server failure determination method, device, device and readable storage medium to solve the problems in the prior art that may easily cause load fluctuations in the cluster when inspection parameters are set based on user experience. Too big, a problem that affects user experience
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[0019] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of this application.
[0020] When server memory failure is detected, the server needs to be restarted, but it cannot be detected while the server is running. The host server (hereinafter referred to as the server) in the cloud computing cluster has a load, such as a cloud computing virtual machine. In order not to affect the load on the server, when the server is fault detected, the l...
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The invention discloses a server fault determination method, apparatus and device, and a readable storage medium. The method comprises the steps of obtaining an inspection period of a to-be-inspected server and parameters of each server in a cluster; an optimization model with constraint conditions is established, and the constraint conditions comprise a load migration constraint condition of the to-be-inspected server and an inspection constraint condition of the to-be-inspected server, so that cluster load fluctuation is minimum, and / or the overall inspection time consumption of the to-be-inspected server is shorter; determining inspection parameters of the to-be-inspected server according to the inspection period of the to-be-inspected server, the parameters of each server in the cluster and the optimization model, wherein the inspection parameters comprise an inspection sequence of the to-be-inspected server, a migration sequence of a load on the to-be-inspected server and a server into which migration enters; and performing fault detection on the to-be-inspected server according to the inspection parameters. By implementing the method and the device, automatic setting of the inspection parameters can be realized, and when inspection is carried out according to the inspection parameters, too large fluctuation of cluster load cannot be caused.
Description
technical field [0001] The present application relates to the technical field of fault detection, and in particular to a server fault determination method, device, equipment and readable storage medium. Background technique [0002] Corruption of server memory can lead to problems such as server operating system crashes, business interruptions, and data loss. Especially if the host server of cloud computing is damaged, its scope of influence will affect the virtual machines running on it. Therefore, it is necessary to periodically check the memory of the cloud computing host server. At present, when memory detection is performed on a host server in a cloud computing cluster, inspection parameters are usually determined based on user experience, and then memory inspection is performed on the server to be inspected according to the inspection parameters. However, this server fault detection method is set based on user experience, and the memory detection environment of the h...
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IPC IPC(8): G06F11/30G06F30/20G06F111/04
CPCG06F11/3003G06F11/3058G06F30/20G06F2111/04
Inventor 陆明王友焱
Owner LENOVO (BEIJING) LTD