Edge Computing Resource Allocation Scheme for Real-Time Video Streaming
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.
video trafficmobile edge computingscalable video encodingunloading decisionresource allocation
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