Resource scheduling method based on kubernetes

Abstract

The invention relates to a resource scheduling method based on kubernetes. The method comprises steps of calculating all Node scores in the cluster according to a fixed rule to generate a first node priority queue, and obtaining a Pod priority queue by using a dynamic priority algorithm, wherein the two queues filter Node which cannot be scheduled to generate a second node priority queue; selecting the node with the highest priority from the Pod priority queues to bind with the Pod popped by the Pod priority queues; and if the binding succeeds, entering the next Pod scheduling cycle, if the binding fails, adopting a built-in priority algorithm to optimize Node binding from the second node priority queue, and if the binding fails again, enabling the Pod to run without an appropriate Node, and entering the next Pod scheduling cycle. The method comprises the steps of static scheduling and dynamic resource load balancing, scheduling efficiency is improved, task deployment efficiency is improved, task operation integrity and load balance of the whole cluster are improved, load balance of the cluster is actively adjusted, and resource utilization efficiency of the cluster is improved.

Description

technical field [0001] The invention belongs to the technical field of digital information transmission, such as telegram communication, and in particular relates to a kubernetes-based resource scheduling method for accelerating cluster task deployment efficiency. Background technique [0002] Kubernetes is a container orchestration engine open sourced by Google. It supports automated deployment, large-scale scalability, and application container management. It can manage the status of multiple nodes (Nodes) in a large-scale cluster and the operation of Pods on nodes. When an application is deployed in a production environment, multiple instances of the application are usually deployed to load balance application requests. [0003] In Kubernetes, container virtualization technology is a way of sharing server resources, which can meet the needs of building customized containers on demand. It is different from traditional virtual technology, and it is more flexible and conveni...

AI Technical Summary

Problems solved by technology

[0007] The present invention solves the problem that in the prior art, the Priorities algorithm in the kubernetes default scheduler can calculate the score of each Node according to the requirements of each Pod instance, reducing the efficiency of resource scheduling, while the sorting algorithm of the Pod priority queue in kubernetes Adopting a static priority strategy may lead to large businesses monopolizing some nodes for a long time, reducing the efficiency of business deployment, and some low-priority Pods cannot run for a long time, affecting the operation of the overall business. An optimized kubernetes-based resource scheduling is provided. method

Images