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Internet of things resource scheduling method and system, computer-readable storage medium and terminal

A technology of resource scheduling and Internet of Things, applied in the field of Internet of Things, can solve problems such as low speed and efficiency, and achieve the effect of improving accuracy and utilization rate

Inactive Publication Date: 2018-12-14
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0003] At present, at home and abroad, cloud computing technology is mainly used as the core to realize resource scheduling in the Internet of Things, and there are problems of low speed and efficiency.

Method used

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  • Internet of things resource scheduling method and system, computer-readable storage medium and terminal
  • Internet of things resource scheduling method and system, computer-readable storage medium and terminal

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Embodiment Construction

[0028] The technical solution in the embodiment of the present invention uses the historical Internet of Things resource scheduling information to train the cloud scheduling center to generate a cloud resource prediction model, and uses the computing performance and storage performance corresponding to the edge nodes to optimize the cloud resource prediction model to generate each edge The edge node resource prediction model corresponding to the node is sent to the corresponding edge node step by step; multiple edge nodes respectively receive their own corresponding edge node resource prediction models; obtain the user's current cycle resource usage information, and use their own The edge node resource prediction model predicts the resource demand of the next cycle; based on the information of the predicted resource demand of the next cycle, the resources of the next cycle are allocated to the user, and the edge computing technology can be used to further improve the IoT system....

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Abstract

A method and system for schedule Internet of things resource computer-readable storage media and terminals, The method comprises: a cloud scheduling center uses historical Internet of Things resourcescheduling information training to generate cloud resource prediction model, and optimizes the cloud resource prediction model by using the corresponding computing performance and storage performanceof edge nodes, and generates edge node resource prediction model corresponding to each edge node, and sends it to the corresponding edge node step by step; a plurality of edge nodes respectively receive their own corresponding edge node resource prediction models; the information of the user's resource usage in the current cycle is obtained, and the resource demand in the next cycle is forecaste by using its own edge node resource forecasting model; the resource of the next cycle is allocated to the user based on the information of the predicted resource demand of the next cycle. The scheme can improve the speed and efficiency of resource scheduling in the Internet of Things.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, and in particular to a resource scheduling method and system of the Internet of Things, a computer-readable storage medium and a terminal. Background technique [0002] The Internet of Things (IoT) is developed on the basis of computer and Internet technology. It can share information and exchange data between things, and realize the perception, monitoring and collection of information. It is intelligent, Accurate, real-time and other characteristics. [0003] At present, at home and abroad, cloud computing technology is mainly used as the core to realize resource scheduling in the Internet of Things, and there are problems of low speed and efficiency. Contents of the invention [0004] The technical problem solved by the invention is how to improve the speed and efficiency of resource scheduling in the Internet of Things. [0005] In order to solve the above technical ...

Claims

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/60
Inventor 孙雁飞吴孟飞亓晋许斌
Owner NANJING UNIV OF POSTS & TELECOMM
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