基于多进程服务和负载均衡代理的集群仿真可视化优化

Y. Xiao, Mei-Min Wu, Qian Bi
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引用次数: 0

摘要

本文介绍了OsgEarth开源项目和建立三维(3D)集群的情况。由于节点多、任务重,三维场景下的仿真视觉效果并不流畅。针对上述问题,提出了一种多进程服务架构和动态负载均衡代理来处理繁重的任务。同时,提出了一种基于回调和多线程插值的可视化优化方案,解决了三维场景中多节点导致的卡顿现象。在此基础上,对40节点和200节点的集群模拟场景进行了验证。实验证明,该方法具有良好的视觉效果和较高的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Optimization of Cluster Simulation Based on Multi Process Service and Load Balancing Agent
This article introduces the OsgEarth open source project and the establishment of three-dimensional (3D) cluster situation. On account of multiple nodes and heavy task, the simulation visual effect in the 3D situation is not smooth. Aiming at the problems mentioned above, a multi process service architecture and a dynamic load balancing agent are proposed to deal with heavy task. Simultaneously, a visual optimization scheme based on callback and multithread interpolation is proposed to settle the caton phenomenon caused by the multi nodes in the 3D situation. On this basis, we verify the cluster simulation scene of 40 and 200 nodes. The experiments demonstrates a favourable visual impact with high performance.
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