Edge computing node fault tolerance and communication scheduling method and system fusing game theory

By integrating game theory with the fault tolerance and communication scheduling method, the shortcomings of the power system in environmental changes and fault prediction are solved, and the system's fault tolerance collaboration capabilities and communication efficiency are improved.

CN119697189APending Publication Date: 2025-03-25STATE GRID DIGITAL TECHNOLOGY HOLDING CO LTD +1
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Patent Information

Application Number
CN202411866160.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The existing power systems have significant shortcomings in adapting to environmental changes, fault prediction and fault tolerance, resulting in a decrease in communication quality and system stability.

Method used

The fault tolerance and communication scheduling method of edge computing nodes that integrate game theory is adopted, and semantic learning and resource matching are carried out through attention mechanism and convolutional layer, fault tolerance collaboration capabilities of neighboring edge computing nodes are determined, and task transfer is carried out to improve system fault tolerance capabilities.

Benefits of technology

It improves the fault-tolerant collaboration capabilities of edge computing systems, enhances the ability to adapt to environmental changes and failures, and improves communication efficiency and resource utilization.

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Abstract

The invention provides an edge computing fault tolerance and communication scheduling method and system fused with a game theory, and relates to the technical field of computers. According to the implementation scheme, under the condition that a first edge computing node is a fault node, an adjacent edge computing node set of the first edge computing node is determined; based on the resource demand of the edge computing task undertaken by the first edge computing node and the total amount of available resources of the adjacent edge computing node set, determining the proportion of the fault task demand to the available resources of the adjacent edge computing node; based on the initial resource of each adjacent edge computing node in the adjacent edge computing node set, the resource demand of the edge computing task undertaken by each adjacent edge computing node, and the proportion of the fault task demand to the available resource of the adjacent edge computing node, determining the fault-tolerant cooperation capability of each adjacent edge computing node; and performing task transfer on the first edge computing node based on the fault-tolerant cooperation capability of each adjacent edge computing node.
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