Edge cloud network-based communication and computing resource replacement method

Abstract

The invention discloses an edge cloud network-based communication and computing resource replacement method. The method comprises the following steps: respectively building a communication model and acomputing model under a mobile edge computing scene according to a load condition and a network condition of each cell, classifying tasks in a task queue according to a QoS (Quality of Service) parameter of mobile equipment, and making a flexible pricing strategy to compute price cost under each task execution mode. Therefore, whether a task of a terminal is downloaded to an MEC (Mobile Edge Computing) server or not is decided according to the QoS of the mobile equipment and downloading cost by using finite computing and communication resources of the MEC server; computing downloading is executed and an optimal computing downloading path is selected to provide a service for the mobile equipment; and furthermore, optimal distribution of resources can be quickly and flexibly achieved according to a variation of a service demand of the mobile equipment, so that the utilization rate of the resources is increased.

Description

technical field [0001] The invention relates to a communication computing resource replacement method based on an edge cloud network, and belongs to the technical field of communication. Background technique [0002] In order to meet more and more low-latency, high-reliability mobile application requirements, edge cloud network has become an emerging research content in the field of mobile cloud computing. It can be used by people anytime and anywhere, allowing people to enjoy ubiquitous wireless network services. Its communication service objects extend from people to anything, such as AR / VR, smart home, Internet of Vehicles, industrial control, etc. Existing edge cloud networks mainly include Fog Computing, MEC, and Cloudlet. These mobile edge networks have quite a lot in common, so they can be studied while taking advantage of the commonalities between each other while considering their respective characteristics. Today's society is about to enter the era of the Interne...

AI Technical Summary

Problems solved by technology

[0004] Although the application of mobile edge computing technology has greatly improved the capacity of the network and can provide mobile devices with ultra-low latency, ultra-high energy efficiency, and ultra-high reliability application services, the existing network architecture under the MEC network has changed. The way of providing services is more diversified, which undoubtedly increases the complexity of resource allocation and scheduling in the network, such as computing-communication, and the establishment of a replacement method for computing-communication resources enables effective use of wireless resources

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