Computing unloading method and system in mobile edge computing network

A computing offloading and edge computing technology, which is applied in the field of Internet of Things and artificial intelligence, can solve the problems of small battery capacity and limited computing power, and achieve the effect of reducing energy consumption

Active Publication Date: 2020-03-31
UNIV OF SCI & TECH BEIJING +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a computing offloading method and system in a mobile edge computing network, so as to solve the problems existing in the prior art that the battery capacity of the user terminal equipment is small and the computing capability is limited

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  • Computing unloading method and system in mobile edge computing network
  • Computing unloading method and system in mobile edge computing network
  • Computing unloading method and system in mobile edge computing network

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Embodiment 1

[0057] Such as figure 1 As shown, the calculation offloading method in the mobile edge computing network provided by the embodiment of the present invention includes:

[0058] S101, decomposing the computing offloading problem in the mobile edge computing network into two sub-problems: solving user offloading decision and computing resource allocation;

[0059] S102, initialize computing resource allocation;

[0060] S103. Screen offloading decisions according to different delay requirements of users, obtain a set of feasible offloading decisions for each user, and determine an optimal offloading decision according to an initialization result;

[0061] S104, taking minimizing the sum of time delay and energy consumption as an objective function, calculating and obtaining an optimal computing resource allocation scheme under the current optimal offloading decision;

[0062] S105, substitute the obtained optimal computing resource allocation plan into the objective function to...

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Abstract

The invention provides a computing unloading method and a system in a mobile edge computing network. The energy consumption and time delay of user terminal equipment can be reduced. The method comprises the following steps: decomposing a calculation unloading problem in a mobile edge calculation network into two sub-problems of user unloading decision solving and calculation resource allocation solving; initializing calculation resource allocation; screening the unloading decisions according to different time delay requirements of the users to obtain a feasible unloading decision set of each user, and determining an optimal unloading decision according to an initialization result; calculating to obtain an optimal computing resource allocation scheme under the current optimal unloading decision; and introducing the obtained optimal computing resource allocation scheme into the target function to solve the unloading strategy, judging whether the obtained unloading strategy is the same asthe optimal unloading strategy, and if not, updating the optimal unloading strategy until the optimal unloading strategy does not change any more or the maximum number of iterations to stop iterationis reached. The invention relates to the field of Internet-of-things and artificial intelligence.

Description

technical field [0001] The present invention relates to the fields of the Internet of Things and artificial intelligence, in particular to a calculation offloading method and system in a mobile edge computing network. Background technique [0002] With the rapid development of wireless communication technology, people's means and methods of communication are undergoing tremendous changes. On the one hand, due to the continuous maturity of 5G technology and Internet of Things technology, a series of new communication concepts such as the Internet of Everything and massive machine communication have been proposed. Along with these emerging communication concepts, there is an influx of various network devices. Various terminal devices such as smartphones, smart sensors, and wearable smart devices need to be connected to the network, which will undoubtedly have a huge impact and impact on the existing network. On the other hand, in order to meet the different communication nee...

Claims

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Application Information

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IPC IPC(8): G06F16/27H04L29/08
CPCG06F16/27H04L67/1001Y02D10/00Y02D30/70
Inventor 林福宏李慧霖周成成陆月明许海涛安建伟
Owner UNIV OF SCI & TECH BEIJING
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