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Multi-server mobile edge computing based control and resource scheduling method

An edge computing and resource scheduling technology, applied in the field of mobile computing, can solve the problems of base station service capacity limitation, insufficient computing capacity of mobile edge computing server, and response timeout.

Inactive Publication Date: 2018-02-23
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the process of realizing the present invention, the inventor found the following problems in the prior art: in the prior art, mobile edge computing applications can be divided according to task types, and the mobile edge computing tasks that can complete various types of mobile edge computing applications The unit is deployed on a smart base station. When there are many users accessing a certain smart base station, the computing power of the mobile edge computing server will be insufficient, and users will need to wait in line to provide services, resulting in interruption of user connections or response timeouts.
Therefore, the mobile edge computing application used by the terminal will be limited by the service capability of the base station itself

Method used

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  • Multi-server mobile edge computing based control and resource scheduling method
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Embodiment Construction

[0071] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0072] like figure 1 Shown is a structural diagram of a central base station deployment solution according to the present invention. The central base station includes four units: the receiving unit 101 is used to receive the service request from the mobile terminal; the control unit 102 is used to determine whether it is necessary to modify the service status of a certain terminal according to the received service request and the current usage of each target server. task scheduling strategy, and determine whether the data corresponding to the business is cached; the cache unit 103 is used to cache the required data according to the task type, cache the high-frequency task...

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Abstract

The invention discloses a resource allocation and base station service deployment method based on mobile edge computing, and the method comprises the following steps: when a computing task is detectedin a mobile terminal, sending a computing migration request to a smart base station; when a cache unit in the base station is short of computing data needed for the task request, sending the needed task data requirement to a network side; receiving the needed task data returned by the network side; computing a time delay gain and an energy consumption gain according to the received needed task data; obtaining a computing migration decision matrix according to an experienced utility function; and performing computing migration according to the computing migration decision matrix. The base station deployment scheme comprises a cache unit, a computing unit, an acquisition processing unit and a sending unit, and can provide computing ability and data caching ability. Thus, the MEC based resource scheduling method and base station service deployment scheme can realize the computing migration in which terminals have multiple tasks, the base stations are multifunctional and targets are diversified.

Description

technical field [0001] The present invention relates to the technical field of mobile computing, and relates to a control and resource scheduling method based on mobile edge computing including multiple servers, and in particular to a multi-mobile terminal and resource scheduling method based on mobile edge computing under the condition of minimum time delay and joint energy consumption. A control and resource scheduling method among multiple intelligent base stations. Background technique [0002] In recent years, with the increasing user data, the large-scale access of IoT devices and the diversification of services, the data traffic in the current wireless network has increased rapidly and the data scale has expanded dramatically. At the same time, the functions of mobile terminals are gradually enhanced, and their functions are not limited to the communication field, but have become a powerful carrier for people's mobile entertainment, office, reading, and computing. Th...

Claims

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Application Information

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IPC IPC(8): H04W28/08H04W72/12G06F9/50
CPCH04W28/08G06F9/5088H04W72/52Y02D10/00
Inventor 刘元安范文浩刘梦颉吴帆张洪光
Owner BEIJING UNIV OF POSTS & TELECOMM
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