The System Of Cluster Rendering Based On The Feedback Control

With the development of the society, cartoon has become an important way of entertainment and education. As a particular visual art, cartoon is always popular. In the process of building 3D cartoons, cartoon designers often use graphic workstation to finish the Rendering tasks, however, the time of single-machine Rendering views and cartoons are always unbearable. On the basis of this research background, the thesis studies the problem of providing high quality Rendering service according to users' requirements in the situation of distributed cluster Rendering.The research background and significance are showed in the paper. The author analyses the scheduling technology of distributed cluster Rendering, discusses the status and development of cluster Rendering scheduling. Based on that, cartoon Rendering system in the distributed cluster is designed, the system's function module is described, and the process of this system is also given.The parameters in the distributed cluster scheduling problem, the cluster resource attributes, and there is not linear relation between the two parameters. Therefore, a parameter mapping method based on Fuzzy Neural Network is proposed. This method establishes the non-linear relation between parameters and resource attributes. Using the resource distance, the candidate resource in the cluster is filtered and the set of best candidate resource is confirmed.The task scheduling is the key problem in the distributed cluster system. The reasonable task scheduling algorithm in distributed system is very important to exert the parallel capability and guarantee the task schedulabiliy and load balance. By the analysis of common scheduling algorithms in distributed cluster, the Rendering scheduling method for dynamic load balance based on residual time applied in the distributed Rendering cluster is designed. The result of emulation experiment shows the system capability is raised, the execution time is shortened and the better effect is realized. For the purpose of improving the reliability of distributed cluster system, the fault tolerance ability is added to the system. This ensures the system will also work steadily normally on the condition of partial fault. This paper establishes a fault tolerance system model. There are two-level fault tolerance mechanism in the model, that is, node fault tolerance and task fault tolerance. This model provides the basis of the further research on fault tolerance in the distributed cluster system.