Multi-cluster management method and device

Abstract

The object of the invention is to provide a multi-cluster management method and device. The multi-cluster management method comprises the following steps: acquiring historical operation data of a plurality of clusters; determining future demand information of the plurality of clusters based on the historical operation data; and determining cluster configuration information of the plurality of clusters based on the future demand information. Compared with the prior art, in the multi-cluster management method provided by the invention, the acquired historical operation data of the plurality of clusters is processed and analyzed to acquire the future demand information of the plurality of clusters, and the cluster configuration information of the plurality of clusters is determined based on the future demand information. Based on the cluster configuration information, the multi-cluster management method provided by the invention can be used for realizing reasonable distribution and configuration of resources of the plurality of clusters in a cross-regional multi-cluster and large-scale data processing environment to achieve the balance optimization of global resources, and can also be used for efficiently realizing cross-cluster data access maximally under the allowance of resource conditions between the clusters.

Description

technical field [0001] The present application relates to the field of computers, and in particular to a multi-cluster management technology. Background technique [0002] In the existing technology, the management of cluster resources, on the one hand, is limited to the corresponding resource scheduling and resource quotas for resources within a single cluster, but for frequent resource allocation between business units in a multi-cluster environment based on resource dependencies The problem of resource balance caused by scheduling has not been solved well; on the other hand, although the replication of cross-cluster data access objects can be carried out through cluster cooperation, such methods only perform clustering when the business needs to access data. Due to the lack of data analysis and prediction of related historical tasks in multiple clusters, it is often unable to meet the running time requirements of daily productive tasks, and such methods do not solve the o...

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Problems solved by technology

[0002] In the existing technology, the management of cluster resources, on the one hand, is limited to the corresponding resource scheduling and resource quotas for resources within a single cluster, but for frequent resource allocation between business units in a multi-cluster environment based on resource dependencies The problem of resource balance caused by scheduling has not been solved well; on the other hand, although the replication of cross-cluster data access objects can be carried out through cluster cooperation, such methods only perform clustering when the business needs to access data. Due to the lack of data analysis and prediction of related historical tasks in multiple clusters, it is often unable to meet the running time requirements of daily productive tasks, and such methods do not solve the overall distribution of resources among multiple clusters. Use the corresponding resource balance problem

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