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Mobile sensing multi-user unloading optimization method based on mobile edge calculation

A technology of edge computing and optimization method, applied in the field of mobile cloud computing, to achieve the effect of maximizing utility and optimizing unloading performance

Active Publication Date: 2020-04-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the above deficiencies in the prior art, the present invention provides a mobile-aware multi-user offload optimization method based on mobile edge computing. Considering the mobility of , it solves the NP-hard and unsolvable problem in global optimization, and trades off between task delay and energy consumption to achieve optimal system-wide user utility

Method used

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  • Mobile sensing multi-user unloading optimization method based on mobile edge calculation
  • Mobile sensing multi-user unloading optimization method based on mobile edge calculation
  • Mobile sensing multi-user unloading optimization method based on mobile edge calculation

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Embodiment

[0050] In the present invention, based on the limited computing and wireless resources of the mobile edge computing server, considering the user's mobility and task delay, an optimal offloading solution is found to maximize the user utility within the system. This problem is NP-hard. In order to solve this problem, a heuristic motion-aware search algorithm is proposed to obtain the optimal offloading solution. The algorithm transforms the original global optimization problem into multiple local optimization problems, and decomposes the local optimization problem into sub-problems for solution. Ultimately, better performance than other techniques can be obtained with better computational complexity.

[0051] Such as figure 1 As shown, the present invention provides a mobile-aware multi-user offload optimization method based on mobile edge computing, and its implementation method is as follows:

[0052] S1. Obtain the optimal offloading mode and resource allocation mode GP acc...

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Abstract

The invention provides a mobile sensing multi-user unloading optimization method based on mobile edge calculation based on limited calculation and wireless resources of a mobile edge calculation server, and finds an optimal unloading scheme to maximize the user utility in a system range by considering the mobility of users and task time delay. According to the method, a heuristic mobile perceptionsearch algorithm is provided to obtain an optimal unloading scheme, an original global optimization problem is converted into a plurality of local optimization problems, the local optimization problems are decomposed into sub-problems to be solved, and finally, the performance better than that of other technologies can be obtained under the condition of better calculation complexity.

Description

technical field [0001] The invention belongs to the technical field of mobile cloud computing, and in particular relates to a mobile-aware multi-user offload optimization method based on mobile edge computing. Background technique [0002] With the development of the Internet of Things, many new mobile application devices have emerged. Due to the limited resources of user equipment, they cannot support the requirements of intensive computing, delay sensitivity, and bandwidth. Therefore, it is necessary to find some new ways to solve these problems. In the past, the mobile cloud computing (MCC) method was proposed to offload the resource-intensive part of the mobile application to a powerful remote cloud for processing. However, high delay and jitter will be generated during the long-distance transmission between the user and the cloud, and some Applications with high bandwidth requirements will also cause network congestion, which is not good for the core network. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04W28/08
CPCH04L67/1021H04L67/1023H04W28/082
Inventor 骆春波罗杨张富鑫刘翔吴佳
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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