软件导刊2024，Vol.23Issue(5)：68-74,7.DOI:10.11907/rjdk.231425
面向实时视频流传输的边缘计算资源分配方案
Edge Computing Resource Allocation Scheme for Real-Time Video Streaming
徐奥 1王磊 1王俊 2崔景伍 1郑宝玉1
作者信息
- 1. 南京邮电大学 通信与信息工程学院
- 2. 南京邮电大学 地理与生物信息学院,江苏 南京 210003
- 折叠
摘要
Abstract
With the rise of the live streaming industry,the problem of a surge in base station video traffic is becoming increasingly serious.Therefore,a joint resource allocation scheme of mobile edge computing task unloading for video transmission is designed.The original problem can be divided into real-time video task unloading decision problem and mobile edge computing resource allocation problem.This scheme uti-lizes the layered characteristics of scalable video encoding technology to convert video streams into base and enhancement layers through en-coding,in order to adapt to the differences between user channels,reduce video upload and transportation costs,and improve user experience quality.Considering the characteristics of mobile edge computing serving users nearby,the scheme offloads video tasks to the edge for analy-sis,which is used to solve the problems of video layer selection,unloading base station selection and joint resource optimization.Simulation experiments show that compared with traditional schemes,the proposed scheme has significantly higher offloading feasibility,effectively re-duces transmission delay and energy consumption,and improves the video transmission performance of mobile users.consumption,and im-proves the video transmission performance of mobile users.关键词
视频流量/移动边缘计算/可伸缩视频编码/卸载决策/资源分配Key words
video traffic/mobile edge computing/scalable video encoding/unloading decision/resource allocation分类
信息技术与安全科学引用本文复制引用
徐奥,王磊,王俊,崔景伍,郑宝玉..面向实时视频流传输的边缘计算资源分配方案[J].软件导刊,2024,23(5):68-74,7.
