Multi-edge collaborative resource deployment method

A multi-edge and resource technology, applied in the field of multi-edge collaborative resource deployment, can solve the problem of resource deployment at the edge end that has not yet existed, and achieve the effect of reducing the delay of requesting resources and optimizing the network environment

Active Publication Date: 2020-01-14
NORTHWEST UNIV(CN)
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Many resource requests from terminals require resource deployment at the edge, but there is no effective solution to resource deployment at the edge

Method used

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  • Multi-edge collaborative resource deployment method
  • Multi-edge collaborative resource deployment method
  • Multi-edge collaborative resource deployment method

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Embodiment Construction

[0048] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0049] According to the problems and principle definitions in the background technology, the present invention proposes a multi-edge collaborative resource deployment strategy. Based on the cloud-edge-terminal edge environment, the ant colony algorithm is used to optimize each edge domain, and for each terminal Select the optimal edge server for resource deployment, and use the cuckoo search algorithm to find the optimal resource deployment strategy. The two optimizations minimize the processing delay of terminal requests at the edge, which is an effective multi-edge collaborative resource deployment. strategy, which specifically includes the following steps:

[0050] Step 1. First, detect the network hops between the edge server and the surrounding edge devices, and use the globally updated ant colony algorithm to dynamically allocate N edge ...

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Abstract

The invention discloses a multi-edge collaborative resource deployment method. The method comprises the following steps: firstly, allocating N edge devices with the lowest network forwarding hop countto each edge server through an ant colony algorithm to form an edge domain set; when each terminal performs a resource request, defining a corresponding optimal edge domain by detecting a forwardinghop count and a link congestion condition of each edge server, slicing a request resource of the terminal in each edge domain set, and deploying the request of the terminal through a cuckoo search algorithm. Resource deployment of the edge end in the edge environment is solved; the edge end network of the edge computing environment is optimized, and the request resource time delay of the terminalis reduced to the maximum extent.

Description

technical field [0001] The invention belongs to the technical field of edge computing, and in particular relates to a multi-edge collaborative resource deployment method. Background technique [0002] With the rapid development of Internet of Things technology, cloud computing technology and applications are becoming more and more common. However, with the explosive growth of various Internet of Things smart terminal devices, the amount of data processed by cloud computing is unprecedentedly huge. A large number of representative Innovative new application scenarios have emerged as the times require, but the existing cloud-end architecture cannot meet the unique requirements of various application scenarios. Therefore, a new computing model-edge computing has emerged. Edge computing refers to the effective organization and management of these independent and scattered edge devices that are close to users in terms of spatial distance or network distance. We not only process d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/911H04L29/08G06N3/00
CPCH04L47/783H04L67/10G06N3/006H04L67/60
Inventor 高岭吴旭东王文涛孙俊辉牛秀娟马景超高全力
Owner NORTHWEST UNIV(CN)
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