Cloud computing based real-time off-screen rendering method, apparatus and system

Abstract

The invention discloses a cloud computing based real-time off-screen rendering method, apparatus and system. The method comprises: receiving a cloud rendering service request sent by a client; enabling a rendering resource and creating a direct connection link of the client and the rendering resource, so that the rendering resource can directly process the cloud rendering service request; performing real-time rendering by the rendering resource and directly sending a rendering result generated in real time to the client; and enabling the client to receive the rendering result in real time and display a picture according to the rendering result. Numerous client devices that are online at the same time can be supported, massive rendering service requests of the client devices can be born, and all online rendering tasks are independent mutually, so that the communication load of a cloud end is reduced and the time delay of a cloud rendering service is shortened.

Description

technical field [0001] The present invention relates to the field of cloud rendering, in particular to a real-time off-screen rendering method, device and system based on cloud computing. Background technique [0002] With the development of client terminal operating systems, mobile phones and tablet PCs have become relatively comprehensively intelligent. Mobile phones and tablet PCs based on IOS, Android and Windows operating systems are becoming more and more popular in people's lives. These smart phones and tablet PCs Powerful functions also bring a lot of convenience to people. However, limited by the size, power consumption and portability requirements of smartphones and tablet computers, the processors (such as computing and rendering processors) of smartphones and tablets are not powerful enough, and people cannot use them on mobile phones or tablet computers. Render and display large-scale 3D high dynamic scenes on the terminal device. [0003] At the same time, wi...

AI Technical Summary

Problems solved by technology

[0007] However, for large-scale 3D scenes, in the two processes of sending the image information of the rendering entity to the cloud and receiving the rendering results returned by the cloud, due to the increase in the amount of transmitted data, under the same network bandwidth, the consumed The time will increase, that is, the delay will increase

Moreover, correspondingly, the number of clients that are online at the same time will be reduced. Once the communication load on the cloud reaches a critical value, the rendering tasks of the excess clients will be suspended, and the delay will be more serious.

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