Method for selecting proxy nodes to manage fog computing network based on slime mould algorithm

Abstract

The invention discloses a method for selecting proxy nodes to manage a fog computing network based on a slime mould algorithm, and relates to the technical field of fog computing and computer networks. The problems that an existing fog network management method cannot adapt to expansion, causes certain high time delay, and cannot effectively exert the advantages of fog computing are solved. The method comprises a fog network information acquisition module, a proxy node selection module and a proxy node working module, wherein the fog network information acquisition module simulates an information acquisition mode of slime mould on a surrounding overall environment; the proxy node selection module selects,as proxy nodes,a certain number of nodes meeting a selection standard from fog nodes by using the slime mould algorithm. According to the method, the number of the proxy nodes is reduced, the behaviors that the large nodes are directly selected as the proxy nodes are reduced, the selection of the proxy nodes, including positions capabilities, and quantity, can be controlled by the slime mould algorithm, the good load balance of the management of the fog network is always kept, and the more efficient edge computing capability is exerted.

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...

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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

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