Flow monitoring method and device for Open Stack tenant network

Abstract

The invention discloses a flow monitoring method for an Open Stack tenant network. The method comprises the following steps: detecting a flow in-out state of a first virtual machine by using a callback function; when it is detected that the virtual machine sends a first flow to a second virtual machine in the same host, matching a first data flow corresponding to the first flow by using a target flow table rule in the integrated network bridge, and sending the copied first data flow to a flow monitoring platform; and when it is detected that the first virtual machine sends a second flow to a third virtual machine in the remote host, matching a second data flow corresponding to the second flow by using the target flow table rule, and sending the copied second data flow to the physical network bridge so as to perform reflection learning on the copied second data flow by using the physical network bridge, obtaining a third data stream; and when the integrated network bridge receives the third data stream, sending the third data stream to the flow monitoring platform. Obviously, through the method, the flow interaction condition between the 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different virtual machines It no longer passes through physical switches, so traditional traffic monitoring methods are no longer applicable to virtual machines.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

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