Prediction-based virtual network function scheduling method for 5G network slices

Abstract

The invention relates to a prediction-based virtual network function scheduling method for 5G network slices, and belongs to the field of mobile communication. The method specifically comprises: establishing a delay-based service function chain queue model for service function chain features having dynamically changing service traffic; establishing a multi-queue cache model, and determining, at different time, priorities requested by the slices and a lowest service rate that should be provided, according to the size of a slice service queue; discretizing the time into a series of consecutive time windows, and establishing a prediction-based traffic perception model by using the queue information in the time windows as a training data set sample; and searching a scheduling method for the best service function chain VNF under the resource constraint that the caching of the slice service queue does not overflow according to the predicted size of each slice service queue and the corresponding lowest service rate. The method realizes on-line mapping of network slices, reduces the overall average scheduling delay of multiple network slices, and improves the performance of network services.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and relates to a prediction-based virtual network function scheduling method for 5G network slicing. Background technique [0002] Network Function Virtualization (Network Function Virtualization, NFV) is based on general-purpose server hardware and provides various network functions in the form of software, which provides great support for operators' future flexible deployment of network services and rapid adjustment of network structure , especially the related service function chaining (Service Function Chaining, SFC) technology, which is different from the traditional network function implementation, creates more flexible and dynamic network services to meet more diverse needs. The service function chain is an ordered collection of virtual network functions (Virtual Network Function, VNF). The business traffic passes through multiple VNFs in sequence according to the specified po...

AI Technical Summary

Problems solved by technology

Existing inventions have proved that neural network technology can well predict the relationship between resource characteristics and resource requirements, but this method is rarely used to solve the problem of combining resource demand prediction and virtual network function scheduling

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