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A real-time video bit rate adaptive method based on mobile edge computing

An edge computing and real-time video technology, applied in image communication, transmission system, selective content distribution, etc., can solve the problems of inability to fully meet the computing offloading needs of mobile users, poor scalability, and limited computing power of MEC servers, etc. Minimize constraints, speed up iteration, and improve privacy

Active Publication Date: 2021-08-27
NANJING TECH UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, MEC servers have limited computing power and poor scalability
With the explosive growth of mobile users and emerging applications, relying solely on MEC cannot fully meet the computing offloading needs of mobile users

Method used

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  • A real-time video bit rate adaptive method based on mobile edge computing
  • A real-time video bit rate adaptive method based on mobile edge computing
  • A real-time video bit rate adaptive method based on mobile edge computing

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Embodiment Construction

[0050] Below in conjunction with accompanying drawing, technical scheme of the present invention will be further described:

[0051] The present invention proposes a real-time video code rate adaptive method based on mobile edge computing, such as figure 1 As shown, it specifically includes the following steps:

[0052] A. The mobile video client is responsible for collecting and transmitting the processor performance, load, and multimedia network connection and playback status of the mobile device;

[0053] B. The mobile video client uploads the collected information to an available edge server;

[0054] C. The edge server scheduling module judges and selects the implementation mode of the mobile video user bit rate adaptive method according to parameters such as the environmental state of the mobile device, the network connection state, and the task delay constraint (the degree of urgency in the video bit rate adaptive process), And determine the user's priority. Due to l...

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Abstract

The present invention proposes a real-time video code rate adaptive method based on mobile edge computing. The steps are as follows: S1. Real-time collection of parameters such as user video playback, network connection, and device performance; S2. Select the best performance for the user according to the parameters of S1. Optimal task scheduling strategy; S3, automatically switch the working mode according to the selected task scheduling strategy; S4, calculate the QoE of the current scheduling strategy according to the video playback situation and equipment energy consumption during the next iteration, and calculate it Feedback to the edge server; S5, the edge server updates the scheduling strategy state transition matrix according to the feedback QoE; S6. Repeat the above steps, iteratively update, and finally the performance of the edge scheduling strategy will tend to be optimal; Basically, it reduces the large energy consumption of mobile multimedia devices, and helps the complex video bit rate adaptive algorithm learning system to grow and optimize continuously.

Description

technical field [0001] The invention belongs to the field of edge computing, in particular to a real-time video code rate adaptive method based on mobile edge computing. Background technique [0002] Due to the rapid development of smart mobile devices and the rise of various video APPs, more and more users start to watch videos through mobile devices. At present, most video service providers hope to provide high-quality video services to as many users as possible, thereby increasing the viewing time of users. However, mobile smart devices are always accompanied by more complex network fluctuations. Therefore, some video bit rate adaptive algorithms based on network conditions have emerged at the historic moment. Appropriate bit rate to avoid freezing and improve video service quality. [0003] Most of the current mainstream video bit rate algorithms concentrate computing tasks on the cloud server side, which causes mobile devices to consume extra energy in the process of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06H04N21/2187H04N21/239H04N21/262H04N21/6373
CPCH04L65/40H04L65/80H04N21/2187H04N21/2393H04N21/26208H04N21/6373
Inventor 白光伟肖强沈航孙鹏
Owner NANJING TECH UNIV
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