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Edge server setting method, system, device and storage medium in smart city

An edge server and city technology, applied in the computer field, can solve the problems of reducing the use efficiency of edge servers, high deployment costs of edge servers, and inability to cover, and achieves the effects of simple structure, optimized settings, and improved utilization.

Active Publication Date: 2022-07-29
陕西秦沣驰道科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are relatively few research papers on the deployment of edge servers in the MEC scenario. At present, edge servers are mainly deployed and set up according to market needs. Without reasonable settings for edge servers, it is easy to cause some places to be unable to cover, or over-covered, which may lead to The deployment cost of the edge server is too high, which reduces the utilization efficiency of the edge server

Method used

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  • Edge server setting method, system, device and storage medium in smart city
  • Edge server setting method, system, device and storage medium in smart city
  • Edge server setting method, system, device and storage medium in smart city

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Embodiment Construction

[0048] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0049] A method for setting an edge server in a smart city, comprising the following steps:

[0050] Step 1), according to the records of historical data, find out the base station b with the largest amount of tasks among all base stations i , at the base station b with the largest amount of tasks i Deploy an edge server on j ;

[0051] Step 2), take a number of base stations from near to far and build a base station cluster with the base station with the largest amount of tasks as the center, and the distance between the selected base stations and the edge servers on the base station with the largest amount of tasks is not greater than that on the base station with the largest amount of tasks At the same time, the total task volume of all base stations in the base station cluster is not greater than the maximum processing capacity of the edge server on the base st...

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Abstract

The invention discloses a method, system, equipment and storage medium for setting edge servers in a smart city. By arranging edge server allocation by the base station with the largest task load, each edge server can cover more base stations in its coverage area, and avoid having base stations. Omission or repeated coverage of a base station by an edge server avoids the waste of edge server settings. Then, clustering is performed according to the minimum distance between base stations, and the deployment position of the edge server is finally determined according to the cumulative sum of the weight ratio of the base stations and the product of the distance. Each edge server can be in the best working range, so that the load balance between the edge servers and the maximum reduction of the execution delay of each base station task, thus improving the utilization rate of the edge server, and can effectively optimize the settings of the edge server. The number of edge servers can be reduced to lighten their economic burdens, and at the same time, the use efficiency of edge servers can be improved.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a method, system, device and storage medium for setting up an edge server in a smart city. Background technique [0002] With the advent of smart cities, there will be 50 billion wireless devices connected to the network in 2020. The computing-intensive tasks run by mobile terminals place higher requirements on computing power. In order to solve this problem, Mobile Cloud Computing (MCC) technology came into being. MCC has powerful computing power and abundant computing resources to solve the intensive tasks of mobile terminals. However, the distance between the MCC server and the user is too long, resulting in excessive communication delay, which cannot meet the needs of high real-time application scenarios. Moreover, MCC uses a centralized way to process computing-intensive tasks, resulting in excessive cloud load. In response to these deficiencies, Professor ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W28/08G06K9/62H04L67/1012H04L67/1029H04L67/1001
CPCH04W28/08H04L67/1008H04L67/1012H04L67/1029H04L67/1001G06F18/23
Inventor 徐飞秦增适谢悦李昊航
Owner 陕西秦沣驰道科技有限公司
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