Flexible bandwidth configuration method based on Linux flow control

Abstract

The invention provides a flexible bandwidth configuration method based on Linux flow control, and the method comprises the following steps: S1, obtaining a router where a plurality of floating ips are located, wherein the plurality of floating ips are ready to be shared by a lessee; S2, employing an iptables command to mark a data package sent by a lessee virtual machine with a lessee flag value for recognizing the lessee, and enabling the source address of the data package to be replaced by a floating ip address; S3, building an HTB queue and default classification on an extranet card; S4, building lessee classification in the HTB queue, and setting a corresponding bandwidth value; S5, building a filter corresponding to the classification according to the lessee flag value. According to the invention, when one lessee applies for a plurality of public network IP address, the method achieve a flexible bandwidth sharing function, solves a problem of the waste of the lessee bandwidth resources, and reduces the use cost of the lessee.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to an elastic bandwidth configuration method based on Linux flow control. Background technique [0002] Cloud computing provides an elastic resource allocation, which can use virtual network, virtual storage and virtual computing resources on demand according to the user's level and payment. In particular, public cloud services have high requirements for network bandwidth control, monitoring, and billing. At present, all well-known cloud computing service providers are selling public network IP addresses and their network bandwidth, and various cloud computing open source products also provide bandwidth control functions. [0003] At present, all major cloud computing service providers only provide the bandwidth limit of a single floating ip. This design has the following disadvantages: First, users cannot efficiently apply the bandwidth resources applied for, and the bandw...

AI Technical Summary

Problems solved by technology

[0003] At present, all major cloud computing service providers only provide the bandwidth limit of a single floating ip. This design has the following disadvantages: First, users cannot efficiently apply the bandwidth resources applied for, and the bandwidth resources of multiple floating ips are independent , its bandwidth resources cannot be shared with each other, which makes tenants have to purchase bandwidth resources multiple times; secondly, when the traffic of some floating ip is small, the peak value of the purchased bandwidth cannot be reached for a long time, which will cause a waste of tenant bandwidth resources ; Again, the bandwidth value of floating ip often cannot be changed or needs to be changed manually. When the floating ip traffic surges or is idle, elastic adjustment of bandwidth resources cannot be achieved

[0004] At present, the solution to bandwidth limitation in open source cloud platforms is to limit the bandwidth of public and private networks. This solution is of little significance to the network bandwidth of tenants in public clouds, because only operators can manage and manage public networks in public clouds. Maintenance, and the setting of public network bandwidth will affect all users of the cloud platform

Images