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A method of selecting agent nodes to manage fog computing network based on slime mold algorithm

A proxy node and fog computing technology, applied in transmission systems, electrical components, etc., can solve the problems of high delay, high latency, and inability to effectively use fog computing for proxy nodes, to optimize resource access, optimize scheduling distance, The effect of efficient edge computing capabilities

Active Publication Date: 2022-04-15
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the fact that the location layout of the large nodes is far and uneven from the terminal, the resulting proxy nodes will also have high delays and uneven loads on the fog nodes. At the same time, some fog nodes cannot pass through the proxy nodes due to the distance. Connecting to the fog network to play a role, resulting in a waste of fog resources
With the massive access of IoT devices, the task load of fog computing is increasing rapidly, and more and more fog node resources can be connected to the fog network. However, the current fog network management methods cannot adapt to this expansion and cause certain high Delay problem, can not effectively play the advantages of fog computing

Method used

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  • A method of selecting agent nodes to manage fog computing network based on slime mold algorithm
  • A method of selecting agent nodes to manage fog computing network based on slime mold algorithm
  • A method of selecting agent nodes to manage fog computing network based on slime mold algorithm

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Effect test

Embodiment 1

[0076] The smaller the distance, the better the transmission delay. The slime mold algorithm can effectively reduce the long distance caused by the insufficient number of agents when the number of traditional agent nodes is small. After conversion, in the case of insufficient number of traditional nodes (5-9) , using the slime mold algorithm can shorten the scheduling distance by an average of 86.2%. In the case of a suitable number of traditional agents (10-18), it also has an optimization effect.

[0077] By considering how many nodes can form scheduling and process tasks, it reflects the size of computing resources connected to the fog network.

Embodiment 2

[0079] The slime mold algorithm can comprehensively increase the number of fog nodes connected to the fog network, effectively utilize the resources of fog nodes, and in the case of a suitable number of traditional agents, the improvement is more obvious. After conversion, the average overall situation (5-18), The slime mold algorithm can increase the amount of resource access by 97%, especially in the case of a large number of traditional nodes (10-18), using the slime mold algorithm can increase the amount of resource access by an average of 1.25 times.

[0080] When the number of connected fog nodes is small, the average scheduling distance is also small, because the nearest node is selected, and the node with a larger distance cannot be connected. As the access volume increases, the scheduling distance also increases. At the same time, it can be seen that the slime mold fog network generation algorithm has different optimization emphases on the two performance evaluation in...

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Abstract

The invention discloses a method for selecting agent nodes to manage fog computing network based on slime mold algorithm, which relates to the field of fog computing and computer network technology; in order to solve the problem that the current fog network management method cannot adapt to this kind of expansion and cause a certain high time The advantage of fog computing cannot be effectively utilized; this method includes a fog network information acquisition module, an agent node selection module, and an agent node work module. The node selection module uses the slime mold algorithm to select a certain number of nodes that meet the selection criteria from the fog nodes to become proxy nodes. This method simplifies the number of proxy nodes and reduces the behavior of large nodes being directly selected as proxy nodes. The slime mold algorithm can control the selection of proxy nodes including location, capacity, quantity, etc., so that the management of the fog network can always maintain a good load balance and play a good role. More efficient edge computing capabilities.

Description

technical field [0001] The present invention relates to the field of fog computing and computer network technology, in particular to a method for selecting agent nodes to manage fog computing network based on slime mold algorithm. Background technique [0002] Domestic scholars have proposed the method of using the master node to establish a fog group to form a fog network management framework. The current technical solution is to mechanically select proxy nodes to manage nodes in the fog network according to large nodes (gateways, routers, and small servers). After the proxy node is selected, it is only responsible for the information processing of task offloading, and the real task scheduling operation still needs to occupy fog node resources. Due to the fact that the location layout of the large nodes is far and uneven from the terminal, the resulting proxy nodes will also have high delays and uneven loads on the fog nodes. At the same time, some fog nodes cannot pass thr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L67/1008H04L41/50H04L41/14H04L67/56H04L67/60
CPCH04L67/1008H04L41/145H04L41/50H04L67/56H04L67/60
Inventor 赵一石董晋良陈佳凯
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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