Intelligent fault self-healing scheduling method and device based on shared storage and virtualization

Abstract

The invention provides an intelligent fault self-healing scheduling method and device based on shared storage and virtualization, electronic equipment and a computer readable storage medium, and the method comprises the steps that a fault self-healing application program obtains local information of all physical servers in a message cluster, and elects an arbitration server according to the local information; if the vanishing virtual host monitored by the arbitration server is triggered by the physical server to which the virtual host belongs, obtaining local information of all available physical servers in the message cluster, and screening an optimal physical server according to the local information; the optimal physical server performs pull-up recovery of the disappeared virtual host. According to the embodiment of the invention, the server weight value of each physical server in the screening server list is calculated, and the physical servers are sorted according to the server weight values, so that the sequence of the optimal physical server is obtained and is used for scheduling the fault self-healing application program, automatic migration of the virtual host to which the fault physical server belongs is realized, and the fault self-healing efficiency is improved. And the high availability of the platform is kept.

Description

technical field [0001] The present invention relates to the technical field of information control, and in particular, to an intelligent fault self-healing scheduling method, device, electronic device and computer-readable storage medium based on shared storage and virtualization. Background technique [0002] In the prior art, the industry mainly implements the availability of clusters by deploying and building multiple physical control node servers to form a control cluster and realize the master-slave or master-master architecture mode to achieve high availability. It is complicated, consumes a lot of resources, and does not meet the national environmental protection requirements for energy conservation, emission reduction, green and low carbon. [0003] With the development of business, the traditional IaaS (Infrastructure as a Service) private cloud platform's control service deployment mode and method are not flexible enough, the deployment method is cumbersome and com...

AI Technical Summary

Problems solved by technology

[0002]In the existing technology, the industry realizes the availability of the cluster mainly by deploying and building multiple physical control node servers to form a control cluster and realize master-slave or master-master The architecture model achieves high availability. This architecture is often heavy and complex, and consumes a lot of resources. It does not meet the national energy conservation, emission reduction, green and low-carbon environmental protection requirements.

[0003] With the development of business, the control service deployment mode and method of the traditional IaaS (Infrastructure as a Service) private cloud platform is not flexible enough, the deployment method is cumbersome and complicated, and does not have Flexibility and Portability

Images