基于图形集群的远程实时渲染系统研究

doi:10.16182/j.issn1004731x.joss.17-0151

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (5): 886-892.doi: 10.16182/j.issn1004731x.joss.17-0151

基于图形集群的远程实时渲染系统研究

刘海洋^1,2, 胡晓峰², 雷旭³

1.航天工程大学,北京 101416;
2.国防大学联合作战学院,北京 100091;
3.中国卫星发射测控系统部,北京 100094

收稿日期:2017-04-10 修回日期:2017-06-04 出版日期:2019-05-08 发布日期:2019-11-20
作者简介:刘海洋(1983-),男,山东曲阜,博士生,讲师,研究方向为计算机战争模拟;胡晓峰(1957-),男,山东栖霞,硕士,教授,博导,研究方向为计算机战争模拟。
基金资助:
军民共用重大研究计划联合基金(U1435218)

Remote Real-time Rendering System Based on Graphics Cluster

Liu Haiyang^1,2, Hu Xiaofeng², Lei Xu³

1. Space Engineering University, Beijing 101416, China;
2. Joint Operations College, National Defense University, Beijing 100091, China;
3. China Satellite Launch and Tracking Control General, Beijing 100094, China

Received:2017-04-10 Revised:2017-06-04 Online:2019-05-08 Published:2019-11-20

摘要/Abstract

摘要： 为解决大量远程用户基于不同需求的渲染应用问题,根据图形集群环境下面向多用户的异步分布式应用模式,给出了基于图形集群的远程实时渲染系统的总体框架,设计了主要功能模块,讨论了基于Docker的GPU渲染、动态负载均衡以及图像实时传输控制等关键技术的集成应用,通过具体实例证明了系统解决方案的有效性。

关键词: 图形集群, 远程实时渲染, 虚拟桌面架构, 负载均衡

Abstract: In order to solve the problems of rendering application for many remote users with different requirements, according to the multi-user oriented asynchronous distributed application mode in graphics cluster environment, a general framework of remote real-time rendering system based on graphics cluster is proposed, and the main functional modules are designed. The integrated application of key technologies, including GPU rendering based on Docker, dynamic load balancing and real-time transmission control of images, is analyzed. The effectiveness of system solution is demonstrated by concrete examples.

Key words: graphics cluster, remote real-time rendering, virtual desktop infrastructure, load balancing

中图分类号:

TP317.4

刘海洋, 胡晓峰, 雷旭. 基于图形集群的远程实时渲染系统研究[J]. 系统仿真学报, 2019, 31(5): 886-892.

Liu Haiyang, Hu Xiaofeng, Lei Xu. Remote Real-time Rendering System Based on Graphics Cluster[J]. Journal of System Simulation, 2019, 31(5): 886-892.

参考文献

[1] 罗秋明, 孙宏元. 集群渲染管理软件的构建技术与框架设计[J]. 计算机工程, 2008, 34(11): 249-251.
Luo Qiuming, Sun Hongyuan.Building Technologies and Framework Design of Render for Cluster Management Software[J]. Computer Engineering, 2008, 34(11): 249-251.
[2] 翟磊, 贝佳, 崔业怡, 等. 一种可扩展的远程渲染体系结构研究[J]. 系统仿真学报, 2006, 18(4): 1081-1083.
Zhai Lei, Bei Jia, Cui Yeyi, et al.Research on Scalable Architecture of Remote Rendering[J]. Journal of System Simulation, 2006, 18(4): 1081-1083.
[3] 陈良育, 陈敏刚, 曾振柄. 自适应远程渲染集群系统[J]. 计算机工程, 2008, 34(13): 262-266.
Chen Liangyu, Chen Mingang, Zeng Zhenbing.Adaptive Remote Rendering Cluster System[J]. Computer Engineering, 2008, 34(13): 262-266.
[4] 胡勇, 武殿梁, 范秀敏. 支持并行渲染的虚拟现实开发平台[J]. 系统仿真学报, 2009, 21(15): 4714-4721.
Hu Yong, Wu Dianliang, Fan Xiumin.Virtual Reality Development Platform for Parallel Rendering[J]. Journal of System Simulation, 2009, 21(15): 4714-4721.
[5] 彭帅, 李冬梅, 李朝晖. 基于PC集群的三维图形并行渲染性能分析[J]. 计算机应用, 2010, 30(2): 547-550.
Peng Shuai, Li Dongmei, Li Zhaohui.Parallel Rendering Efficiency Analysis of 3D Graphics on PC Cluster[J]. Journal of Computer Applications, 2010, 30(2): 547-550.
[6] 马海银. 智能集群渲染管理软件分析与设计[D]. 威海:山东大学, 2013.
Ma Haiyin.The Design and Implementation of the Intelligent Cluster Rendering System[D]. Weihai: SHANDONG University, 2013.
[7] 刘夏. 云桌面应用研究概述[J]. 计算机系统应用, 2014, 23(7): 12-16.
Liu Xia.Research and Applications of Cloud Desktop[J]. Computer Systems & Applications, 2014, 23(7): 12-16.
[8] 吴坤喜, 冯广, 卢志祥, 等. 虚拟云桌面的系统架构研究与设计[J]. 广东工业大学学报, 2015, 32(1): 113-116.
Wu Kunxi, Feng Guang, Lu Zhixiang, et al.Research and Design of Virtual Cloud Desktop Systems[J]. Journal of Guangdong University of Technology, 2015, 32(1): 113-116.
[9] 袁野, 何嘉. 基于Android的云桌面客户端关键技术研究与实现[J]. 计算机应用, 2013, 33(增1): 26-28.
Yuan Ye, He Jia.Key Technology Research and Implementation of Android-based Cloud Desktop Client[J]. Journal of Computer Applications, 2013, 33(S1): 26-28.
[10] Joshua Higgins, Violeta Holmes, Colin Venters.Orchestrating Docker Containers in the HPC Environment[J]. Lecture Notes in Computer Science (S0302-9743), 2015, 9137(1): 506-513.
[11] Rene Peinl, Florian Holzschuher, Florian Pfitzer.Docker Cluster Management for the Cloud - Survey Results and Own Solution[J]. Journal of Grid Computing (S1570-7873), 2016, 14(2): 265-282.
[12] Preeth E N, Fr Jaison Paul Mulerickal, Biju Paul, et al. Evaluation of Docker Containers Based on Hardware Utilization[C]. 2015 International Conference on Control, Communication & Computing India (ICCC). IEEE, 2015: 697-700.
[13] Yong Liu, Otto J Anshus.Improving the Performance of VNC for High-Resolution Display Walls[C]. 2009 International Symposium on Collaborative Technologies and Systems. IEEE, 2009: 376-383.
[14] 张凌, 冯欣, 沈文武. 使用VNC实现的模拟训练过程的检测[J]. 重庆通信学院学报, 2013, 32(5): 21-25.
Zhang Ling, Feng Xin, Shen Wenwu.Monitor Simulation Training by means of VNC[J]. JOURNAL OF CHONGQING COMMUNICATION INSTITUTE, 2013, 32(5): 21-25.
[15] Jingle. The Solution of Using VNC to Realize Application Sharing in Low Speed Network [EB/OL]. (2010-10-24) [2016-09-01]. http://www.blog.csdn.net/ dj0379/ article/details/52397788.

基于图形集群的远程实时渲染系统研究

Remote Real-time Rendering System Based on Graphics Cluster

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics

本文评价

[1]	甄岩, 史江盼, 刘乔寿. 异构超密度网络中联合资源划分和卸载分析[J]. 系统仿真学报, 2019, 31(8): 1653-1663.
[2]	张会丽, 李志河. 一种基于HNN的云服务组合优化[J]. 系统仿真学报, 2019, 31(11): 2335-2343.
[3]	刘渊, 邱常伶, 王晓锋, 蒋敏. 面向多尺度融合网络仿真的拓扑映射方法研究[J]. 系统仿真学报, 2019, 31(10): 2030-2041.
[4]	王枭, 刘雅奇, 陶玉犇. 基于OpenMP的作战仿真并行设计与负载均衡研究[J]. 系统仿真学报, 2018, 30(6): 2206-2215.
[5]	郝耀辉, 韩继红, 郭虹, 刘树新. 基于二分网络的分布式服务组合系统建模研究[J]. 系统仿真学报, 2018, 30(1): 1-8.
[6]	刘庆利, 姚俊飞, 刘治国. 基于多业务的卫星光网络波长路由算法研究[J]. 系统仿真学报, 2017, 29(8): 1780-1788.
[7]	翟岩龙, 贾娜娜, 张鑫宇, 杨凯, 卿杜政. 拓扑结构感知的保守同步仿真动态负载均衡方法[J]. 系统仿真学报, 2015, 27(9): 2008-2014.