Cloud computing data center network intelligent linkage configuration method and system

Abstract

The invention discloses a cloud computing data center network intelligent linkage configuration method and system and relates to the technical field of computer network management. The cloud computing data center network intelligent linkage configuration method comprises the steps of extracting resource operation information and resource configuration information in a cloud computing data center network, performing analysis according to the resource operation information and the resource configuration information to obtain state information of a server and state information of a link in the cloud computing data center network, and performing adjustment by migrating the position of a virtual machine in the server according to the state information of the server and the state information of the link when the CPU utilization rate of the server or the utilization rate of the link is abnormal. The problem that a current cloud computing virtualized data center network is inflexible in strategy configuration and high in complexity and cannot sense the cloud computing platform resource utilization situation is effectively solved.

Description

Technical field [0001] The invention relates to the technical field of computer network management, and is a method for intelligently linkage to complete cloud computing data center network configuration adjustment based on cloud platform resource utilization information. Background technique [0002] Cloud computing, as the latest development of current information technology, is subtly changing the production and life of human society. It uses distributed computing, virtualization and other technologies to build a resource control layer for the unified management and scheduling of resources and tasks, pooling scattered ICT resources to form a resource pool, and dynamically assigning them to applications on demand. In recent years, with the rapid development of cloud computing technology, on the one hand, traditional "big data" services such as search, social networking, multimedia audio and video, scientific computing, and data mining have migrated to cloud platforms; on the ot...

AI Technical Summary

Problems solved by technology

[0010] This method has the following two defects: 1. The complexity of network configuration management is high, which is not only boring, but also error-prone; 2. It cannot comprehensively consider the overall resource utilization of the cloud platform, and the separate management of multi-tenant virtual networks is likely to cause serious problems. The resource utilization of the entire cloud platform is unbalanced, and when the resource utilization of the cloud platform changes, it is impossible to optimize the configuration of the virtual switch network policy

[0013] This method fails to combine SDN (Software Defined Networking) technology to manage the cloud computing data center, making the network configuration strategy not flexible enough to configure content such as network device flow tables

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