Rendering method and system based on cloud computing chain and storage medium

Abstract

The invention provides a rendering method and system based on a cloud computing chain and a storage medium. The method comprises the following steps: sending a rendering task request to a server node;obtaining rendering task blocks which are executed in parallel; rendering according to rendering task blocks to obtain rendering results; extracting and integrating the rendering results and returning the integrated results to server nodes; actively putting forwarding task requests according to the rendering nodes, reasonably distributing the task blocks generated after task processing and splitting to all the available rendering nodes in a network, providing powerful decentralized computing resources for high-strength computing type tasks through the idle states of the rendering nodes so that data processing efficiency is higher. By the active requests and a distribution matching mechanism, the distribution of the computing tasks is more reasonable, the autonomous rendering nodes withoutdifference is further realized, and the invention can be widely applied to the technical field of distributed computing networks.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a cloud computing chain-based rendering method, system and storage medium. Background technique [0002] Rendering in computer graphics refers to the process of using software to generate an image from a model. A rendering model is a description of a three-dimensional object in a strictly defined language or data structure, including geometry, viewpoint, texture, and lighting information. [0003] In the existing technology, a single computer is usually used to complete the rendering, which takes a long time at one end and takes up most of the computing resources, resulting in the inability to synchronize other production activities; secondly, when faced with high-intensity computing tasks , will also adopt a centralized calculation method, the central computer needs to perform all calculations, so when there are many terminals, the response speed will slow dow...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, a single computer is usually used to complete the rendering, which takes a long time at one end and takes up most of the computing resources, resulting in the inability to synchronize other production activities; secondly, when faced with high-intensity computing tasks , will also adopt a centralized calculation method, the central computer needs to perform all calculations, so when there are many terminals, the response speed will slow down; if the end users have different task requirements, each user's program and resource Do separate configuration, which is difficult and inefficient to implement on a centralized system

In addition, in some rendering farms in the prior art, the balanced distribution of rendering tasks is simply adopted, regardless of the performance status of each terminal and whether there are other tasks occupying computing resources. A single terminal node creates pressure on computing resource calls

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