Internet of Things gateway implementation method and system based on microkernel architecture

Abstract

The invention discloses an Internet of Things gateway implementation method and system based on a microkernel architecture, and belongs to the field of edge computing operation. The method comprises the following steps: setting an Internet of Things gateway system service layer outside a microkernel for the Internet of Things gateway; setting an Internet of Things gateway hardware abstraction layer, providing abstraction for a sensor software stack, and transplanting different hardware platforms; according to the method, a micro-kernel system structure is adopted; according to the method, the most basic functions in the kernel are reserved in the kernel, and the functions which do not need to be executed in the kernel state are moved to be executed in the user state, so that the design complexity of the kernel is reduced; the operating system codes removed from the kernel are divided into a plurality of service programs according to a layering principle, the execution of the service programs is mutually independent, and the interaction of the service programs is communicated by means of the microkernel; the microkernel structure effectively separates the kernel from the service and the service from the service, so that the interface between the kernel and the service is clearer, the maintenance cost is reduced, and each part can be independently optimized and evolved.

Description

technical field

[0001] The invention discloses a method and system for realizing an Internet of Things gateway based on a microkernel architecture, and relates to the technical field of edge computing operations. Background technique

[0002] With the large-scale application of edge computing, edge operating systems face increasingly complex challenges in the edge environment. The edge is where all event data is generated and automated because it must be managed and secured. It also includes an array of sensors, actuators, and devices that interact and communicate real-time data with each other and with cloud services. On the other hand, as IoT continues to scale, some functions such as data analysis and decision-making will have to be localized, which means these functions are moving from the cloud to the edge.

[0003] The current status problem is that for the operating system kernel in the edge computing scenario, because it is on the edge side, the computing environme...

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