An Intelligent Scheduling Method for Network Function Virtualization Based on Traffic Identification

Abstract

A network function virtualization intelligent scheduling method based on traffic identification, realized based on a confidence region strategy optimization algorithm, said method comprising the following steps: (1) classifying network data flows; (2) setting the confidence region strategy optimization algorithm State space; (3) setting the action space of the confidence region strategy optimization algorithm; (4) setting the reward function of the confidence region strategy optimization algorithm: (5) setting the loss function of the confidence region strategy optimization algorithm; (6) on the basis of the preceding steps In the above, the intelligent scheduling of virtual network functions is realized by using the confidence region policy optimization algorithm. The method of the invention can realize the intelligent scheduling of the virtual network function according to the service quality requirements of different flow data, and improve the network utilization rate and network service performance.

Description

technical field [0001] The invention relates to an intelligent scheduling method for network function virtualization based on traffic identification, which belongs to the field of information technology, in particular to the technical field of network function virtualization. Background technique [0002] With the rapid growth of network traffic data and the continuous popularization of network applications, network users have higher and higher requirements for service quality, including low delay, low packet loss rate and high throughput. Therefore, network equipment not only needs to increase bandwidth and Capacity requires an appropriate resource scheduling mechanism. Network Function Virtualization (NFV), that is, network function virtualization technology, separates network functions from traditional hardware devices, and can flexibly arrange network functions and share network resources. NFV technology uses virtualized network functions (VNF), namely virtual network f...

AI Technical Summary

Problems solved by technology

However, most of these works are limited to identifying a small number of specific network applications or traffic data in a specific network environment. It is difficult to play a role after the traffic packets are encrypted, and the scope of application is relatively narrow.

However, the dynamic orchestration scheme of virtual network functions is regarded as an online decision-making problem. Existing research is limited to modeling the environment to obtain the optimal scheme, ignoring the optimal long-term benefits extracted from historical experience.

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