A multi-tenant network optimization method, system, computing device and storage medium

Abstract

The present invention provides a multi-tenant network optimization method. The method includes: creating multiple virtual machines and multiple tenants, wherein the multiple tenants include at least a first tenant and a second tenant, and the multiple virtual machines include at least the first virtual machine. machine and the second virtual machine; configure the first virtual machine as the virtual machine of the first tenant, and configure the second virtual machine as the virtual machine of the second tenant; configure the network of the first tenant as a self-service network, and configure the second tenant The network is a shared external provider network; a virtual router is deployed to connect the self-service network to the shared external provider network through the virtual router; it not only meets the tenant's requirements for private cloud personalization settings but also improves the tenant's demand for network performance Require. The invention also provides a multi-tenant network optimization system, computer equipment and computer storage medium.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to a multi-tenant network optimization method and system, computing equipment, and computer storage media. Background technique [0002] With the development of cloud computing, data center virtualization has become a trend. The private cloud service project is mainly used to solve multi-data center resource virtualization and improve resource utilization. The project is developed based on the open source cloud platform OpenStack. At present, the common multi-tenant network architecture of OpenStack is the self-service network (Self-service network). [0003] Please refer to figure 1 , which is the existing self-service network architecture. Although the self-service network has rich functions and can customize the virtual private cloud (Virtual Private Cloud, VPC), but because the network ingress and egress traffic of all tenants’ virtual machines (Virtual Machine,...

AI Technical Summary

Problems solved by technology

[0003] Please refer to figure 1 , which is the existing self-service network architecture. Although the self-service network has rich functions and can customize the virtual private cloud (Virtual Private Cloud, VPC), but because the network ingress and egress traffic of all tenants’ virtual machines (Virtual Machine, VM) needs to Through the virtual router (Virtual Router), the virtual router is concentrated on the network node, and the virtual router finally sends or receives the data packet through the physical network card of the network node, so the network performance is limited by the network card bottleneck of the network node, and the self-service network exists network Performance bottleneck, not suitable for tenants with high network performance requirements

[0004] Please refer to figure 2 , for the existing provider network architecture, the inbound and outbound traffic does not need to pass through the virtual router on the network node, but the provider network itself does not support tenants to create a virtual private cloud, that is, all virtual machines under the same tenant cannot be formed into a private cloud

[0005] To sum up, the existing network cannot combine the advantages of self-service network and supplier network in a multi-tenant environment, so as to achieve both high network performance requirements and customizable private cloud creation

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