Cluster-based capacity reduction processing method and device
A processing method and cluster technology, applied in the computer field, can solve problems such as loss and business stability damage, and achieve the effect of saving resources
Active Publication Date: 2022-04-15
北京穿杨科技有限公司
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[0003] In related technologies, the current memory usage of the cluster is used to judge whether the capacity reduction requirement is met, resulting in a delay in capacity reduction, etc., and when node capacity reduction is performed, the method of selecting nodes is relatively simple, such as directly selecting any When the machine is shrinking, the core business is running on the shrinking machine, which may damage the business stability and cause immeasurable losses
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[0023] In order to more clearly understand the above objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, in the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.
[0024] In the following description, many specific details are set forth in order to fully understand the present disclosure, but the present disclosure can also be implemented in other ways than described here; obviously, the embodiments in the description are only some of the embodiments of the present disclosure, and Not all examples.
[0025] At present, all relevant elastic shrinking rules are based on cluster CPU (Central Processing Unit, central processing unit) usage rate and cluster memory usage rate to judge whether the shrinking requirement is met. When node scaling is performed, the node strategy is selected. It is rel...
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The invention relates to a cluster-based capacity reduction processing method and device, and the method comprises the steps: obtaining a current resource request ratio and / or an allowed operation service instance number of a target cluster, and judging whether the current resource request ratio and / or the allowed operation service instance number are / is greater than or equal to a preset resource ratio threshold value and / or a preset service instance threshold value or not; obtaining the duration when the current resource request ratio is greater than or equal to a resource ratio threshold value and / or the number of allowed operation service instances is greater than or equal to a service instance threshold value, and obtaining the capacity reduction interval between the current moment and the last capacity reduction moment, and when the duration is greater than a preset duration threshold value and the capacity reduction interval is greater than a preset interval threshold value, obtaining the capacity reduction interval, according to the embodiment of the invention, the comprehensive score of each node in the target cluster is calculated according to the preset capacity reduction factor, and the capacity reduction processing is performed on the cluster based on the comprehensive score, so that whether the cluster needs capacity reduction can be accurately judged, the capacity reduction processing is performed based on the related capacity reduction strategy, and the cost is saved while the resource demand of the service is solved.
Description
technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a cluster-based shrinkage processing method and device. Background technique [0002] Currently, shrinking cluster resources is a way to avoid resource waste and reduce other costs. [0003] In related technologies, the current memory usage of the cluster is used to judge whether the capacity reduction requirement is met, resulting in a delay in capacity reduction, etc., and when node capacity reduction is performed, the method of selecting nodes is relatively simple, such as directly selecting any When the machine is scaled down, the core business is running on the scaled down machine, which may damage the business stability and cause immeasurable losses. Contents of the invention [0004] In order to solve the above technical problems, the present disclosure provides a cluster-based shrinkage processing method and device. [0005] In the first aspect, the emb...
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IPC IPC(8): G06F9/50
Inventor 李大伟于立李玉光
Owner 北京穿杨科技有限公司