Virtual network function dynamic migration method based on deep belief network resource demand forecasting

A technology of virtual network function and deep belief network, applied in the field of mobile communication, can solve the problems of no neural network training cycle, slow convergence speed, easy to fall into local minimum points, etc., to improve generalization performance, accelerate convergence speed, Improve the effect of forecasting

Active Publication Date: 2018-11-27
CHONGQING UNIV OF POSTS & TELECOMM
View PDF5 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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. Although it shows that the prediction accuracy of neural network i...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Virtual network function dynamic migration method based on deep belief network resource demand forecasting
  • Virtual network function dynamic migration method based on deep belief network resource demand forecasting
  • Virtual network function dynamic migration method based on deep belief network resource demand forecasting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0079] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0080] The invention provides a virtual network function dynamic migration method based on deep belief network resource demand prediction.

[0081] figure 1 is a schematic diagram of a scene example where the embodiment of the present invention can be applied. Consider a network functions virtualization architecture composed of NFV orchestration and control frameworks. The infrastructure of the underlying network consists of two parts: the access network and the core network. The access network adopts the new C-RAN architecture of the wireless access network, and the access network and the core network are connected through the SDN network. The underlying infrastructure resources are provided to service requests in network slices through virtualization. The end-to-end SFC service request is composed of different VNFs in an orderly manner, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a virtual network function dynamic migration method based on deep belief network resource demand forecasting, and belongs to the field of mobile communication. The method comprises the following steps: (S1) in view of the dynamic features of SFC business resource demand in a slicing network, establishing a system overhead model of comprehensive migration overhead and bandwidth overhead; (S2) in order to realize spontaneous VNF migration, monitoring the resource utilization condition of virtual network function or link in real time, and discovering the deployed bottom nodes or resource hot spots in the link in time by using an online learning based adaptive DBN forecasting method; (S3) designing a topology awareness based dynamic migration method according to the forecasting result, so as to reduce system overhead; (S4) proposing a tabu search based optimization method to further optimize the migration strategy. The forecasting method provided by the invention not only increase the convergence rate of a training network, but also realizes a perfect forecasting effect; by combining the forecasting method with a migration method, the system overhead and the violation frequency of the service level agreement are effectively reduced, and the performance of network service is improved.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and relates to a virtual network function dynamic migration method based on deep belief network resource demand prediction. Background technique [0002] At present, the mobile network industry is rapidly evolving to 5G, and the three new application fields of "mobile broadband enhancement", "large-scale Internet of Things", and "low latency and high reliability communication" will play an important role. The 5G network has high flexibility to cope with the business changes of mobile operators, especially the concept of network function virtualization enables the infrastructure to flexibly meet the diversification of vertical application requirements. Network slicing is a technology for flexible configuration of resources in wireless virtual networks, which can be quickly deployed and managed centrally. It mainly uses software defined network (Software Defined Network, SDN) and netw...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04L12/24G06N3/08G06N3/06G06F9/455
CPCG06F9/45504G06N3/061G06N3/084H04L41/145H04L41/147
Inventor 唐伦赵培培杨友超马润琳周钰陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap