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Internet of Vehicles cloud computing resource optimization method based on reinforcement learning

A technology of resource optimization and reinforcement learning, applied in data exchange network, digital transmission system, electrical components, etc., can solve the problems of not being able to obtain the optimal solution of real-time resource allocation, affecting user QoE, ignoring the time-varying characteristics of wireless channels, etc.

Active Publication Date: 2020-09-25
华路易云科技有限公司
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Problems solved by technology

[0009] The above literatures have achieved certain effects on the joint optimal allocation of communication resources and computing resources, but they have ignored the time-varying characteristics of wireless channels, which will affect the transmission efficiency of services, and then affect the QoE of users, so they cannot obtain Optimal solution for overall real-time resource allocation of the system

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  • Internet of Vehicles cloud computing resource optimization method based on reinforcement learning
  • Internet of Vehicles cloud computing resource optimization method based on reinforcement learning
  • Internet of Vehicles cloud computing resource optimization method based on reinforcement learning

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Embodiment Construction

[0071] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific implementation methods.

[0072] The present invention uses a virtual unit (VU) to represent the smallest unit of resources in the entire vehicle cloud system, including computing and storage resources required to process vehicle service requests in the vehicle cloud system.

[0073] figure 1 The vehicle cloud system with resource reservation strategy and resource secondary allocation mechanism is shown. When a service request arrives and the system has no available VUs for allocation, the system can select some services from the cloud and release a small amount of resources to allocate to the newly arrived service request to meet the requirements of the newly arrived service. Sometimes when there are a lot of idle resources in the cloud, the resources occupied by some services in the system can be increased to improve QoE. And when the system res...

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Abstract

The invention discloses an Internet of Vehicles cloud computing resource optimization method based on reinforcement learning. The method specifically comprises the steps of carrying out the modeling of an Internet of Vehicles system resource distribution problem as a semi-Markov decision process SMDP, and introducing a resource reservation strategy and a resource secondary distribution mechanism;and solving the model by using reinforcement learning. According to the invention, the system is enabled to obtain the optimal scheme of Internet of Vehicles resource allocation, and the resource utilization rate, the system QoS and the user QoE are improved.

Description

technical field [0001] The invention belongs to the optimization application field of the Internet of Vehicles, and in particular relates to a method for optimizing cloud computing resources of the Internet of Vehicles based on reinforcement learning. Background technique [0002] With the rapid development of the Internet of Things, its role in the industrial field is becoming more and more prominent. As one of the important applications in the industrial field, the Industrial Internet of Things (IIoT) aims to collect and process data in industrial environments to realize intelligent operations, such as industrial monitoring, automation and automatic control, etc. In IIoT, data collected from various devices needs to be collected and processed in a timely, reliable and efficient manner. To meet the stringent requirements of the IIoT, advanced communication and computing technologies are expected to play an important role. However, IIoT still faces many technical problems ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L12/911
CPCH04L67/12H04L47/821H04L67/51H04L67/60H04L47/83
Inventor 洪鑫涛梁宏斌张宗源
Owner 华路易云科技有限公司
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