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Edge cloud migration modeling optimization method and system based on self-organizing network

A self-organizing network and optimization method technology, applied in the field of edge cloud migration modeling optimization, can solve the problems of complex use environment, weak platform computing power, unreliable network, etc., and achieve the effect of reliable and low-latency migration.

Pending Publication Date: 2022-05-10
北京韦加智能科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Problems such as limited bandwidth, unreliable network, weak computing power of the platform, and complex use environment

Method used

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  • Edge cloud migration modeling optimization method and system based on self-organizing network
  • Edge cloud migration modeling optimization method and system based on self-organizing network
  • Edge cloud migration modeling optimization method and system based on self-organizing network

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Embodiment Construction

[0038] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein.

[0039] The purpose of the present invention is to provide an edge cloud migration modeling optimization method based on self-organizing network, mainly based on the establishment of virtual machine migration decision model, such as figure 1 Shown, specifically include the following:

[0040] Step 1. According to the characteristics of the edge cloud in the self-organizing network, determine the migration decision-making factors.

[0041] The edge cloud migration mechanism is similar to the switching mechanism of the current cloud computing data center, but this mechanism is similar to the live migration of vir...

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Abstract

The invention discloses an edge cloud migration modeling optimization method based on a self-organizing network, and the method specifically comprises the steps: determining migration decision factors according to the characteristics of edge cloud in the self-organizing network; for each factor, determining a corresponding parameter and a corresponding data model; then, optimization is carried out on all the models; meanwhile, the migration decision optimization process performed by using the data model can be equivalent to the optimal user experience quality QoE, and the QoE is quantified by using three indexes of energy consumption, task completion time and safety for multi-task migration of the edge cloud platform. The invention further provides an edge cloud migration modeling optimization system based on the self-organizing network. By means of the method and system, reliable and low-delay migration of the edge can be effectively achieved.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a method and system for modeling and optimizing edge cloud migration based on ad hoc networks. Background technique [0002] Edge cloud is a technology based on cloud computing technology that provides cloud computing capabilities for network edge nodes. It is a cloud computing platform built on edge infrastructure. Form an elastic cloud platform with comprehensive computing, network, storage, and security capabilities at the edge, and form an end-to-end technical architecture of "cloud, edge, and terminal collaboration" with the central cloud and IoT terminals. Computing, intelligent data analysis and other tasks are processed at the edge, reducing response delay, reducing cloud pressure, reducing bandwidth costs, and providing cloud services such as network-wide scheduling and computing power distribution. [0003] Since the edge cloud platform is deployed at the ...

Claims

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Application Information

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IPC IPC(8): H04W24/02G06F9/455H04L41/14H04L67/10H04W28/16H04W84/18
CPCH04W24/02H04L67/10G06F9/45558H04L41/14H04L41/145H04W28/16H04W84/18G06F2009/4557Y02D30/70
Inventor 方立姜波于保宏
Owner 北京韦加智能科技股份有限公司
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