Fog computing migration method with minimum completion time in Internet of Things scene

Abstract

The invention discloses a fog computing migration method with the minimum completion time in an Internet of Things scene, and the method comprises the following steps that S1, a fog sensing computingarchitecture which comprises a sensing layer and a fog layer which are communicated with each other, is designed; S2, the sensing nodes in the sensing layer send the calculation requests to the fog nodes in the fog layer and transmit the data to the corresponding fog nodes; S3, the fog node in the fog layer receives the calculation request from the corresponding sensing node and executes a calculation task, and when the calculation task on the fog node is overloaded, the fog node migrates part of the calculation task to the adjacent idle fog node; and S4, the fog nodes in the fog layer feed the processing results back to the sensing nodes in the sensing layer. According to the method, the resource distribution condition with the minimum task completion time can be solved, the requirementsof computing intensive users for low delay are met, and the user experience quality is improved.

Description

technical field [0001] The invention relates to a fog computing method, in particular to a fog computing migration method for minimizing completion time in an Internet of Things scene, and belongs to the technical field of wireless communication networks and wireless sensor networks. Background technique [0002] For wireless sensor network (Wireless sensor network, WSN), ad hoc and Internet of things (Internet of things, IoT) applications, some components in these networks (such as sensors, etc.) will be limited by resources, which will affect their full power. influences. Therefore, how to overcome these constraints and develop more energy-saving and efficient data processing has become a huge challenge. Therefore, people propose to use fog computing method to solve this problem. Fog computing, is a new model that complements cloud-based computing systems by performing data processing on (local) devices at the edge of the network. Fog computing disperses the concentrati...

AI Technical Summary

Problems solved by technology

Although such schemes take delay constraints into account when minimizing energy consumption, they do not consider the joint optimization of completion time and energy consumption, so they cannot significantly improve the performance of the entire system

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