MOMBI-based smart city application-oriented multi-target computing migration method and device

A multi-objective, urban technology, applied in computing, computing models, data processing applications, etc., can solve problems such as undesigned smart city scenarios, improve resource utilization and cluster load balancing, facilitate popularization and application, and execute costs low effect

Active Publication Date: 2021-07-20
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the research on the application of the MOMBI algorithm to smart cities, a smart city scenario for edge empowerment has not been designed. Moreover, if the calculation migration problem of smart city applications is to be solved, the problem of solution selection needs to be considered, which is important for smart cities. Computing migration decisions in cities remains a challenge

Method used

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  • MOMBI-based smart city application-oriented multi-target computing migration method and device
  • MOMBI-based smart city application-oriented multi-target computing migration method and device
  • MOMBI-based smart city application-oriented multi-target computing migration method and device

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Embodiment 1

[0104] This embodiment provides a multi-objective computing migration method for smart city applications based on MOMBI. The flow chart of the method is as follows figure 1 As shown, the framework of smart city empowered by edge computing is as follows: figure 2 As shown, the calculation migration position encoding map is shown as image 3 As shown, the individual crossover process is as Figure 4 As shown, the individual variation process is as follows Figure 5 As shown, the method includes the following steps:

[0105] Step 10, according to the current network environment, read in the task data in the pre-set tasks;

[0106] Step 20. Randomly generate a parent population of size N As a set of solutions to calculate the migration strategy, where i represents the current number of iterations, the initial value of i is set to 0, and then the maximum number of iterations δ is obtained, and the mutation probability P m and the crossover probability P c (The obtained para...

Embodiment 2

[0208] In this embodiment, a multi-objective computing migration device for smart city applications based on MOMBI is provided, such as Image 6 shown, including:

[0209] Task data acquisition module, initialization module, classification module, next generation population generation module, calculation update module and population iteration module;

[0210] The task data acquisition module is used to read in task data in preset tasks according to the current network environment;

[0211] The initialization module is used to randomly generate a parent population of size N As a set of solutions to calculate the migration strategy, where i represents the current number of iterations, the initial value of i is set to 0, and then the maximum number of iterations δ is obtained, and the mutation probability P m and the crossover probability P c ;

[0212] The grading module is used to calculate the parent population The value of the objective function, the objective function...

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Abstract

The invention relates to an MOMBI-based smart city application-oriented multi-target computing migration method, which is based on an R2 index MOMBI algorithm, combines time delay and energy consumption of mobile equipment and computing resource and cluster load balance of an edge server, continuously updates the position of a population reference point through iteration, uses the R2 index to layer individuals in a population,reserves elite individuals in the population through a tournament selection method, and finally acquires a migration strategy after multi-objective optimization. According to current energy consumption, time delay and resource utilization rate and load balance variance of an edge server, a new round of calculation update is carried out after each migration strategy is determined, an optimal migration strategy is selected by using SAW and MCDM, and optimization is carried out for four targets in an edge-enabled smart city. By means of the method, computing migration is conducted on the application generated by the mobile device in the smart city, high-quality services are provided for users, the resource utilization rate of the server can be increased, and meanwhile load balance of the server cluster is guaranteed.

Description

technical field [0001] The present invention relates to the technical field of smart city task migration, in particular to a method and device for smart city application-oriented multi-objective computing migration based on MOMBI. Background technique [0002] In recent years, the application of a series of next-generation information technologies such as the Internet of Things, cloud computing, and big data has promoted the gradual formation of the framework of smart cities. The operation of smart cities will generate massive amounts of data, which are often resolved by Mobile Cloud Computing (MCC). Due to the long distance between mobile devices and cloud servers in the city, the device data is sent to the cloud computing center There is also a certain time delay. In order to reduce network congestion and improve computing efficiency, Mobile Edge Computing (MEC) is added to the network architecture of smart cities, so that a large amount of data is processed by edge serve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06Q10/04G06Q50/26
CPCG06N3/006G06Q10/04G06Q50/26Y02D10/00
Inventor 彭凯刘培琛
Owner HUAQIAO UNIVERSITY
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