Flow monitoring method and device for open Stack tenant network

Abstract

The present application discloses a flow monitoring method of an Open Stack tenant network, including: using a callback function to detect the flow in and out status of a first virtual machine; traffic, use the target flow table rule in the integrated bridge to match the first data flow corresponding to the first traffic, and send the copied first data flow to the traffic monitoring platform; when it is detected that the first virtual machine sends When the third virtual machine in the host sends the second traffic, it uses the target flow table rule to match the second data flow corresponding to the second traffic, and sends the copied second data flow to the physical network bridge, so as to utilize the physical network The bridge performs reflective learning on the copied second data flow to obtain the third data flow; when the integrated bridge receives the third data flow, it sends it to the traffic monitoring platform. Apparently, through this method, the traffic interaction between virtual machines can be monitored.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a flow monitoring method, device, equipment and medium of an Open Stack tenant network. Background technique [0002] After enterprises go to the cloud, many enterprises no longer use physical machines for business deployment on a large scale, but use virtualization technology to manage computing resources in a unified pool. Traffic monitoring methods in traditional data centers are very mature, but traffic collection in cloud environments faces many challenges. Cloud computing and virtualization technologies have extended the boundaries of the network to the interior of physical servers, and the traffic interaction between different virtual machines It no longer passes through physical switches, so traditional traffic monitoring methods are no longer applicable to virtual machines. [0003] It can be seen that how to monitor the traffic interaction between virtual mac...

AI Technical Summary

Problems solved by technology

Traffic monitoring methods in traditional data centers are very mature, but traffic collection in cloud environments faces many challenges. Cloud computing and virtualization technologies have extended the boundaries of the network to the interior of physical servers, and the traffic interaction between different virtual machines It no longer passes through physical switches, so traditional traffic monitoring methods are no longer applicable to virtual machines

Images