A vehicle big data computing and unloading method based on a fog network

A computing offloading and fog computing technology, applied in the field of Internet of Vehicles, can solve the problem that the big data system architecture cannot meet the delay-sensitive requirements of ITS applications

Active Publication Date: 2019-06-28
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0002] As one of the most important technologies for modern data storage and computing, cloud computing provides a powerful platform for performing complex

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  • A vehicle big data computing and unloading method based on a fog network
  • A vehicle big data computing and unloading method based on a fog network
  • A vehicle big data computing and unloading method based on a fog network

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Embodiment Construction

[0073] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0074] A fog network-based vehicle big data computing offloading method, the specific method steps are as follows:

[0075] Step 1: Propose the fog computing network system architecture.

[0076] The fog computing network system architecture is divided into three layers: (1) application layer, (2) fog computing layer, including fog computing nodes and fog computing devices, and (3) cloud computing layer, including cloud computing devices.

[0077] When the vehicle moves to the corresponding intersection and enters the coverage area of ​​the access point signal, the vehicle terminal joins the corresponding wireless local area network and connects to the fog computing device, and sends the calculation task to the fog computing node; in addition, if the vehicle terminal decides to offload the task To the cloud computing device, use the...

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Abstract

The invention discloses a vehicle big data computing and unloading method based on a fog computing network. According to the invention, a more efficient and reliable computing environment can be provided for analyzing vehicle big data. Firstly, a fog computing network system architecture is provided, a network delay model is further established, then a task generation model is established, a fog computing resource optimization model is established, and finally a load balancing computing resource effective task unloading algorithm is used. Efficient Task Offloading Algorithm with Load Balancing, CRETOA) is used for managing computing resources for load balancing of the fog computing network, and a road vehicle terminal request computing task is allocated to the optimal fog computing resources.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles, in particular to a fog network-based computing offloading method for vehicle big data. Background technique [0002] As one of the most important technologies of modern data storage and computing, cloud computing provides a powerful platform for performing complex large-scale computing tasks, but the architecture of big data systems based on cloud computing cannot meet the delay-sensitive requirements of ITS applications. Fog computing provides high flexibility in terms of architecture, resources, computing power, communication technology and deployment, and supports low latency and high mobility, which makes it ideal for big data analysis of the Internet of Vehicles and ITS application computing offload. choose. There are two main reasons for the high fault tolerance of fog computing: first, it does not depend on fixed deployment, and resources can be allocated in a temporary deplo...

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Application Information

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IPC IPC(8): G06F9/50H04L29/08H04W4/40
CPCY02D10/00
Inventor 赵海涛朱奇星冯天翼柏宇朱洪波
Owner NANJING UNIV OF POSTS & TELECOMM
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