Container-based server resource supply method

Abstract

The invention discloses a container-based server resource supply method. The container-based server resource supply method comprises the following steps: diagnosing and evaluating performances of servers through performance anomaly detection, finding out an idle service node and a performance anomaly node, and then, realizing self-adaptive adjustment through detection, feedback and control. According to the invention, relative monitoring data of the servers and a container is collected and subjected to idle judgement based on a threshold value and performance analysis for abnormal performance diagnosis based on service times; therefore, the states of each server and each container cluster node can be obtained; then, various clusters are adjusted; supply of server resources can be ensured according to requirements; the use amount of the servers can be reduced to the most extent; the resource consumption is reduced; and the operating cost of a data centre is reduced.

Description

technical field [0001] The invention belongs to the field of computers, and in particular relates to a container-based server resource supply method. Background technique [0002] In response to the flexible management requirements of information system server resources, the industry generally adopts cloud computing technology to allocate computing tasks required by applications in resource pools, allowing different applications to obtain system resources such as computing nodes, storage space, and network bandwidth according to requirements, and then comprehensively Consider resource monitoring results and application types during system operation to optimize resource utilization. However, the traditional virtual machine-based cloud computing support technology has problems such as high system operation overhead and high life cycle management overhead, and it is difficult to meet the lightweight management requirements of rapid and flexible supply of server resources in inf...

AI Technical Summary

Problems solved by technology

These methods are mainly aimed at the traditional single-cluster deployment environment, with a single cluster or a single container as the core of adjustment, without considering the running status and resource distribution and consumption status of each part of the entire server environment. Resource competition is also not fully considered, making it difficult for these methods to adapt to new deployment scenarios, so as to complete the request load of each application with the least server resource consumption and reduce energy consumption

Images