Container network flow limiting method and system for cloud edge collaborative virtualization scene

Abstract

The invention discloses a container network flow limiting method and system for a cloud edge collaborative virtualization scene. The method comprises the following steps: sending flow limiting information to an edge platform through a cloud end; according to the flow limiting information and a network card address of the edge platform, establishing a label for a network packet, wherein the network card comprises a virtual interface of a container; and carrying out network flow limiting on the network packet through a flow controller based on the label and the flow limiting information. In the cloud edge collaborative virtualization scene, the network packets are classified according to the virtual interface addresses of the containers, the virtual interface addresses point to the containers, and the classified network packets are subjected to flow limiting, so that a native container network is subjected to flow limiting, a network plug-in does not need to be relied on, and the network bandwidth limit operation for the container granularity in the container arrangement framework is realized.

Description

technical field [0001] The present invention relates to the technical field of cloud-edge collaboration, in particular to a container network current limiting method and system for cloud-edge collaboration virtualization scenarios. Background technique [0002] Originating from the media field, edge computing refers to an open platform that integrates network, computing, storage, and application core capabilities on the side close to the source of objects or data, and provides the nearest end services. Its applications are launched on the edge side to generate faster network service responses and meet the basic needs of the industry in terms of real-time business, application intelligence, security and privacy protection. Edge computing sits between the physical entity and the industrial connection, or on top of the physical entity. For edge computing, unlike the cloud computing platform that integrates a large number of resources, the edge cloud platform is a distributed p...

AI Technical Summary

Problems solved by technology

[0003] Currently, containers use Cgroup technology to achieve CPU, memory, and disk IO quotas, but not network quotas. The main reason is that in actual production, the constructed container network is often a very complex large-scale network

In a complex virtualized network environment, how to fine-grainedly manage the bandwidth of each container is a very big challenge

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