Method and device for adaptively switching OpenStack control node into computing node

Abstract

The invention relates to a method and a device for adaptively switching an OpenStack control node into a computing node. The OpenStack comprises a plurality of groups of control node groups and computing node groups, and the method comprises the following steps: S1, dividing the plurality of groups of control node groups into switchable control node groups and non-switchable control node groups, and electing from the switchable control node groups through an election algorithm to generate to-be-switched control nodes; S2, periodically triggering monitoring according to a period, triggering a self-adaptive upgrading process if a node fault or an overhigh total load of a computing node group is found, and otherwise, ending the process, wherein the self-adaptive upgrading process specificallycomprises the following steps: switching a to-be-switched control node into a computing node through an automatic management tool in combination with a container technology, and adding the computingnode into the computing node group in the step S2. Compared with the prior art, the method has the advantages of high efficiency and the like.

Description

technical field [0001] The invention relates to the technical field of Openstack cloud platform, in particular to a method and a device for adaptively switching an OpenStack computing node to a control node. Background technique [0002] OpenStack is an open source cloud computing management platform, which can realize the management of a large number of distributed computing resources, storage resources and network resources, and provide a unified management panel. OpenStack is not only a community, but also a project and an open source software , which supports almost all types of cloud environments, provides a solution or toolset for deploying clouds. Its purpose is to help organizations run clouds that serve as virtual computing or storage services, and provide scalable and flexible cloud computing for public and private clouds. After years of production practice, OpenStack has developed very maturely. [0003] In small and medium-sized cloud platforms, the general depl...

AI Technical Summary

Problems solved by technology

Each server in the high-availability technology virtualization cluster is configured with an agent. The agent continuously detects the status of other servers, and the agent sends heartbeat signals to other servers at regular intervals. Suppose a server fails to respond to the heartbeat signal three times in a row. When a server fails and reports the corresponding failure, the agent will restart all the virtual machines on the failed server on other servers in the virtualization cluster to restore the virtual machine business, thereby ensuring business continuity, or adding a new server or replacing the original server. For some faulty servers, each computing service and network proxy service of the cloud platform is directly deployed on the operating system of the newly added server through the RPM package. However, this method has low timeliness due to the cumbersome process of server removal and deployment. , Recovery is slow, it is difficult to meet the requirements of high timeliness in the production environment

[0004] The prior art also proposes an effective solution to the above problems. Chinese patent CN108089911A proposes a control method and device for computing nodes in an OpenStack environment. The method includes: periodically monitoring the status data of the computing nodes in the control node, Determine whether the corresponding computing node is available, and if not, evacuate the virtual machine running on the corresponding computing node to the computing node that is determined to be available in the environment according to the monitored state data. The method determines whether the computing node is Available, and timely evacuation of virtual machines running on unavailable computing nodes can minimize RTO and RPO, restore virtual machine services in the shortest time, and maintain high availability, but the load of computing nodes receiving virtual machines will also increase It will cause the running speed of the service on this node to slow down. At the same time, the virtual machines of the unavailable computing nodes will be distributed to other available computing nodes, which will increase the operating burden of other computing nodes. This method cannot effectively solve the problem of excessive load on computing nodes. Affects the quality of service of tenant virtual machines

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