Memory allocation method and system and storage medium

Abstract

The invention discloses a memory allocation method and system and a computer readable storage medium. The method comprises the steps: detecting the memory occupation amount of a container, wherein the memory occupation amount of the container is the memory capacity occupied by the container in the first node, and the first node is any one node in a Kubernetes cluster, and the second node is any one node in the Kubernetes cluster; and under the condition that the memory occupation amount of the container is greater than or equal to the early-warning memory usage amount, dynamically allocating memory capacity for the container to maintain the running state of the container.

Description

technical field [0001] The present application relates to the technical field of storage space management, and in particular to a memory allocation method, a memory allocation system, and a computer-readable storage medium. Background technique [0002] On the Kubernetes platform, when the memory capacity requested or occupied by the container in the Pod of any node exceeds the upper limit of the memory capacity that the Pod can use, the Linux Kernel at the bottom of the Kubernetes platform will kill the container and the process corresponding to the Pod, thereby Resulting in the container and Pod being unavailable. The processing method of the Kubernetes platform can effectively limit the excessive use of the container's memory capacity, but it also seriously affects the normal operation of the container. Contents of the invention [0003] Embodiments of the present application provide a memory allocation method, a memory allocation system, and a computer-readable storag...

AI Technical Summary

Problems solved by technology

[0002] On the Kubernetes platform, when the memory capacity requested or occupied by the container in the Pod of any node exceeds the upper limit of the memory capacity that the Pod can use, the Linux Kernel at the bottom of the Kubernetes platform will kill the container and the process corresponding to the Pod, thereby Causes the container and Pod to be unavailable

The processing method of the Kubernetes platform can effectively limit the excessive use of the container's memory capacity, but it also seriously affects the normal operation of the container.

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