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Dynamic resource allocation method in mobile edge computing based on matching theory

A technology of dynamic resource allocation and edge computing, which is applied in the field of communication, can solve the problems of increased service delay for mobile users, and achieve the effect of wide application range and reduced service delay

Active Publication Date: 2021-11-26
XIDIAN UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a dynamic resource allocation method in mobile edge computing based on matching theory, which is used to solve the problems existing in the prior art in edge computing scenarios where multiple When moving users, the competition for resources between multiple mobile users leads to the technical problem of increasing the service delay of mobile users

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  • Dynamic resource allocation method in mobile edge computing based on matching theory
  • Dynamic resource allocation method in mobile edge computing based on matching theory
  • Dynamic resource allocation method in mobile edge computing based on matching theory

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Embodiment Construction

[0050] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] refer to figure 1 , the present invention comprises the following steps:

[0052] Step 1) Initialize the system parameters in the mobile edge computing scenario:

[0053] Initialization includes M edge servers ES={ES 1 ,ES 2 ,...,ES m ,...,ES M} and N mobile users U={u 1 , u 2 ,...,u n ,...,u N}'s edge computing scenario, each edge server ES m for each mobile user u n The provided task data upload bandwidth is B, ES m The computing resource is C m , ES m Both can provide computing services for γ mobile users at the same time, and the transmission rate between edge servers is ω. The present invention considers the trajectory of the mobile user in two-dimensional space, and the trajectory of the mobile user is continuous, using the time slot t for each mobile user u n The motion trajectory is sampled, and resource ...

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Abstract

The invention provides a dynamic resource allocation method in mobile edge computing based on a matching theory, which is implemented by the following steps of: initializing system parameters in a mobile edge computing scene, acquiring communication time delay of each mobile user in each time slot, then establishing a preference list of each edge server in each time slot, and establishing a preference list of each edge server in each time slot; and establishing a preference list of each mobile user in each time slot, then obtaining a matching matrix of all mobile users and all edge servers in each time slot through a matching theory, and finally obtaining a dynamic resource allocation result in mobile edge calculation. According to the method, the situation that a plurality of mobile users exist in a mobile edge computing scene at the same time is considered, edge server resources optimal for the users and users optimal for the edge servers are competed in each time slot through a matching theory according to preference lists of all the mobile users and all the edge servers, the resources of the edge server are effectively utilized, the service delay of the mobile user is reduced, and the service quality of the user is high.

Description

technical field [0001] The invention belongs to the technical field of communications, and relates to a dynamic resource allocation method, in particular to a dynamic resource allocation method in mobile edge computing based on matching theory. Background technique [0002] With the rapid development of 5G technology and Internet of Things technology, a large number of new mobile terminal applications have emerged, and these applications have an increasing demand for computing resources and are very sensitive to service delays. However, due to the very limited computing resources of the user equipment itself, it is not enough to support these applications to directly perform calculations on the device side. Therefore, using cloud servers has become an effective solution. Although the cloud server can provide users with sufficient computing resources, due to its relatively centralized deployment, the transmission delay between the user equipment and the cloud server increase...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/08H04W72/10H04W72/12G06F9/50H04W72/54
CPCG06F9/5072G06F9/5027H04W72/542H04W72/566H04W72/56H04W72/569Y02D30/70
Inventor 刘伟牛斌马英红
Owner XIDIAN UNIV
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