Virtual network function deployment method suitable for multi-dimensional resource optimal configuration

Abstract

The invention provides a virtual network function deployment method suitable for multi-dimensional resource optimal configuration. The method comprises the following steps: step 1, acquiring a networkstate, and updating available resources of all nodes and residual bandwidths of links; 2, when a service function chain deployment request is detected, judging whether the network meets deployable conditions or not; 3, determining a deployable node set of the request according to the sequence constraint of each virtual network function in the request; 4, calculating the node resource capability and the path resource capability of each deployable node; 5, determining an optimal deployment path by adopting a service function chain deployment algorithm based on a Viterbi backtracking method; and6, deploying the virtual network functions according to the optimal deployment path and the node sequence to form a target service function chain, updating the network state, and returning to the step 1. According to the method, various resources can be balanced according to respective use degrees, and the network performance is considered while the overall resource consumption of network configuration is optimized.

Description

technical field [0001] The present invention relates to the technical field of network resource deployment, in particular to a virtual network function deployment method suitable for optimal configuration of multi-dimensional resources. Background technique [0002] NFV (Network Function Virtualization, network function virtualization) decouples software and hardware, its main idea is to decouple network functions from dedicated hardware, and based on general hardware technology and virtualization technology, the required network functions are virtualized The form of software runs on standard commercial servers, storage and switches, so as to replace closed, private, and single-function dedicated hardware devices in the network. [0003] In NFV deployments, resource overloads and underloads can occur. The impact of overloading may be overall performance degradation and SLA (Service-Level Agreement, Service Level Agreement) violations, while underloading may cause a lot of w...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems that the existing virtual network function deployment method only considers a single resource and cannot take into account other resources when configuring resources, which leads to the overload of server resources and the degradation of the entire network performance and the insufficient balance of node resources and link resources. The present invention provides A Virtual Network Function Deployment Method Applicable to Optimal Configuration of Multi-Dimensional Resources

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