Implementation method of intelligent collaboration strategy of MEC server cluster

A technology of server cluster and implementation method, applied in the field of intelligent collaborative strategy implementation, can solve the problems of high energy consumption and delay, and achieve the effect of reducing computing delay, reducing energy consumption, and strong generalization ability

Pending Publication Date: 2022-05-31
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The purpose of the present invention is to provide a method based on mobile edge computing combined with deep reinforcement learning to solve the excessive energy consumption and time delay of MEC server clusters in actual business scenarios

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  • Implementation method of intelligent collaboration strategy of MEC server cluster
  • Implementation method of intelligent collaboration strategy of MEC server cluster
  • Implementation method of intelligent collaboration strategy of MEC server cluster

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] Such as figure 1 As shown, the present invention is an implementation method of an intelligent collaborative strategy of a MEC server cluster, specifically related to mobile edge computing offloading technology and deep reinforcement learning technology, including the following steps:

[0024] Step 1: Establish the system communication model of the MEC server cluster

[0025] Such as figure 2 As shown, the model is a mobile edge network, which consis...

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Abstract

The invention belongs to the technical field of mobile communication and computers, and particularly relates to an implementation method of an intelligent collaboration strategy of an MEC server cluster. The method comprises the following steps: in a mobile edge network comprising N small base stations and a macro base station, configuring an MEC server for each small base station, and establishing a system communication model of an MEC server cluster; respectively establishing a delay and energy consumption model of the MEC server cluster according to congestion delay generated during task migration and calculation delay generated during task migration, and obtaining a system total overhead model; and minimizing the total overhead of all MEC server clusters, namely the total overhead of the system, and optimizing the total overhead of the system by using a deep reinforcement learning DQN algorithm to output an optimal solution. According to the method, the new intelligent collaborative model is constructed on the MEC server cluster, the optimal task migration decision of the MEC cluster is obtained by using the deep reinforcement learning algorithm, and the method can be suitable for various types of edge computing service scenes.

Description

technical field [0001] The invention belongs to the field of mobile communication technology and computer technology, and relates to a method combining mobile edge computing offloading technology and deep reinforcement learning, and in particular to a method for realizing an intelligent collaboration strategy of MEC server clusters. Background technique [0002] With the advent of the 5G era, more and more mobile smart devices are generated and connected to the network, and the scenarios of network services are becoming more and more diverse. Faced with the massive data generated by mobile smart devices and the demand for computing resources, this makes mobile smart devices must meet higher requirements in terms of computing power and storage performance. [0003] Edge computing (Edge Computing, EC) is to provide computing and storage infrastructure close to data sources or users, and provide cloud services and IT environment services for edge applications. Compared with ce...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04L67/10G06N3/08
CPCH04W24/02H04L67/10G06N3/08Y02D30/70
Inventor 李云陈治涵
Owner CHONGQING UNIV OF POSTS & TELECOMM
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