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Safe unloading method for load balancing in mobile edge computing network

An edge computing and load balancing technology, applied in computing, energy-saving computing, program control design, etc., can solve problems such as privacy leakage, edge server congestion, and vulnerability to external threats

Pending Publication Date: 2021-02-12
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the other hand, due to the openness of the wireless link, the process of task offloading to the server is vulnerable to external threats, which leads to privacy leakage.
In addition, when too many tasks are offloaded to the same edge server, it may cause the edge server to be congested while other edge servers are idle
[0004] However, most of the existing work only considers two optimization objectives: optimizing the delay of task completion and optimizing the energy consumption during task offloading, while ignoring the security issues and system load issues during the offloading task transmission process

Method used

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  • Safe unloading method for load balancing in mobile edge computing network
  • Safe unloading method for load balancing in mobile edge computing network

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Embodiment Construction

[0018] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.

[0019] Such as figure 1 As shown, the specific implementation process of the load balancing-oriented security offloading method in the mobile edge computing network is as follows:

[0020] A. Build a multi-cell mobile edge computing system architecture and initialize related parameters: the schematic diagram of the system model in this embodiment is as follows figure 2 As shown, the security offloading decision is made in a network containing 7 user devices and 4 edge servers. Task size α for user device n n ∈[300,600]kb, computing power f l,n ∈[0.5,1]GHZ, upload power p up,n ∈[0.4,1]W. The computing power f of the edge server m s,m ∈ [10,15] GHZ.

[0021] B. Propose a data security transmission strategy for offloaded data.

[0022] C. Construct three objective function...

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Abstract

The invention discloses a safe unloading method for load balancing in a mobile edge computing network, which comprises the following steps of: A, constructing a multi-cell mobile edge computing systemarchitecture, and initializing a to-be-processed task of a mobile equipment end and related parameters of an edge server; B, proposing a data security transmission strategy for the unloaded data; S,proposing a multi-objective optimization problem, taking the total time for completing the task as a first objective function, taking the total energy consumption of the user side as a second objective function, and taking the system load mean square error as a third objective function; and D, optimizing the three objective function values by using an improved multi-objective optimization algorithm, obtaining a Pareto optimal unloading strategy set, and obtaining an optimal unloading strategy according to user preferences. The method is suitable for a multi-cell and multi-server scene, safe task unloading is achieved, time delay and energy consumption are reduced, and system loads are balanced.

Description

technical field [0001] The invention belongs to the technical field of mobile edge computing, and in particular relates to a load balancing-oriented safe unloading method in a mobile edge computing network. Background technique [0002] With the rapid development of the Internet of Things, the number of mobile devices is exploding, resulting in the emergence of various new applications. However, the limited resources on the mobile device side bring challenges to the operation of new mobile applications. In order to solve the above challenges, the concept of Mobile Edge Computing (MEC) came into being. MEC provides users with the required resources and network bandwidth at a location close to the mobile device, achieving low latency and high bandwidth, and improving service quality and user experience. [0003] Since offloading tasks need to be transmitted to edge servers through wireless links, additional delay and energy consumption are caused. Unlike traditional cloud c...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F9/50G06F9/48
CPCG06F9/485G06F9/5083H04L67/10Y02D10/00
Inventor 庞善臣孙欢欢李旭亮王淑玉王暖来
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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