基于云计算的多投影系统项目管理与安全设计

doi:10.3969/j.issn.1000-3428.2014.04.004

摘要/Abstract

摘要：

在传统的多投影显示系统中，各类媒体资源文件都散乱地存放在本地，并且占用较大的存储空间，使用本地存储设备难以对所有项目的文件进行管理与存放。针对该问题，提出基于云计算的多投影显示系统在线项目管理解决方案。通过Amazon云计算平台实现多投影项目的在线管理，注册并创建项目与进度信息，利用云平台海量存储空间以及可伸缩计算能力，导出与项目相关的工程文件、图像、视频等资源文件，并打包上传到云端对应的项目中。测试结果表明，该方案能正确建立项目与文件的对应关系，方便用户对项目进行管理与维护，缓解本地存储的压力。

关键词: 云计算, 多投影显示, 在线项目管理, 在线存储, 安全模块, 加密狗

Abstract:

The media resource files used by multi-projector display system are scattered in the local, and require a lot of storage space. Using local storage system can not hold these files of all projects. Therefore, an online project management solution based on cloud computing for multi-projector display system is proposed. It uses Amazon cloud platform to provide online project management for the multi-projector display projects, and makes use of the mass storage space and scalability computing ability of the cloud platform to support storing the project files online with the help of Amazon file storage services. It uses online project management to register and create project and schedule information, exports all the related project files, packs and uploads them onto the cloud server. Test result shows that the relationship between projects and project files are established, which provides users to manage all of their projects and then release the local storage pressure.

Key words: cloud computing, multi-projector display, online project management, online storage, security module, softdog

中图分类号:

TP311

陕亮. 基于云计算的多投影系统项目管理与安全设计[J]. 计算机工程, doi: 10.3969/j.issn.1000-3428.2014.04.004.

SHAN Liang. Project Management and Security Design for Multi-projector System Based on Cloud Computing[J]. Computer Engineering, doi: 10.3969/j.issn.1000-3428.2014.04.004.

http://www.ecice06.com/CN/Y2014/V40/I4/19

参考文献

参考文献 [1] Ni T, Schmidt G S, Staadt O G, et al. A Survey of Large High-resolution Display Technologies, Techniques, and App- lications[C]//Proc. of IEEE Virtual Reality Conference. Alexandria, USA: IEEE Press, 2006: 223-236. [2] Chen Yuqun, Chen Han, Clark D W, et al. Software En- vironments for Cluster-based Display Systems[C]//Proc. of IEEE/ACM International Symposium on Cluster Computing and the Grid. Brisbane, Australia: IEEE Press, 2001: 202-210. [3] Humphreys G, Houston M, Frank R, et al. Chromium: A Stream-processing Framework for Interactive Rendering on Clusters[J]. ACM Transactions on Graphics, 2002, 21(3): 693- 702. [4] Jeong B, Leigh J, Johnson A, et al. Ultrascale Collaborative Visualization Using a Display-rich Global Cyberinfrastruc- ture[J]. IEEE Computer Graphics and Applications, 2010, 30(3): 71-83. [5] Dataon Inc.. Watchout[EB/OL]. [2013-08-26]. http://www. dataton.com/. [6] 郭冰鉴. 基于互联网的多投影显示系统软件架构与实现[D]. 上海: 复旦大学, 2011. [7] Jiang Zhongding, Tao Junyi, Zhang Lei, et al. A Streaming- Based Approach for Remote Interaction of the Multi-channel Display System for Group Users[C]//Proc. of IEEE International Conference on Multimedia and Expo. Shanghai, China: [s. n.], 2008: 397-400. [8] Dikaiakos M D, Katsaros D, Mehra P, et al. Cloud Computing: Distributed Internet Computing for IT and Scientific Research[J]. IEEE Internet Computing, 2009, 13(5): 10-13. [9] Vouk M A. Cloud Computing——Issues, Research and Im- plementations[J]. Journal of Computing and Information Technology, 2008, 16(4): 235-246. [10] Erl T, Puttini R, Mahmood Z. Cloud Computing: Concepts, Technology & Architecture[M]. [S. l.]: Prentice Hall, 2013. [11] Josyula V, Orr M, Page G. Cloud Computing: Automating the Virtualized Data Center[M]. Indianapolis, USA: Cisco Press, 2012. [12] Reese G. Cloud Application Architectures: Building Appli- cations and Infrastructure in the Cloud[M]. Sebastopol, USA: O’Reilly, 2009. [13] Vaquero L M, Rodero-Merino L, Caceres J, et al. A Break in the Clouds: Towards a Cloud Definition[J]. ACM SIGCOMM Computer Communication Review, 2009, 39(1): 50-55. [14] James M. Programming Amazon Web Service: S3, EC2, SQS, FPS, and SimpleDB[M]. Sebastopol, USA: O’Reilly, 2008. [15] Amazon Inc.. Amazon EC2[EB/OL]. [2013-08-26]. http://aws. amazon.com/cn/ec2/. (下转第31页) [16] Ostermann S, Iosup A, Yigitbasi N, et al. A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing[J]. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi- neering, 2010, 34(4): 115-131. [17] Amazon Inc.. Amazon S3[EB/OL]. [2013-08-26]. http://aws. amazon.com/cn/s3/. [18] Amazon Inc.. SimpleDB[EB/OL]. [2013-08-26]. http://aws. amazon.com/cn/simpledb/. [19] Krutz R L, Vines R D. Cloud Security: A Comprehensive Guide to Secure Cloud Computing[M]. Indianapolis, USA: Wiley, 2010. [20] Sood S K. A Combined Approach to Ensure Data Security in Cloud Computing[J]. Journal of Network and Computer Applications, 2012, 35(6): 1831-1838. [21] Cai Jianping, Qiao Liping. Research and Application of the Floating License Management Strategy[C]//Proc. of Interna- tional Conference on Information Science and Engineering. Nanjing, China: [s. n.], 2009: 26-28. [22] 王全国, 任晨光. 软件狗加密技术透视[M]. 北京: 清华大学出版社, 1996. 编辑金胡考

选择文件类型/文献管理软件名称

选择包含的内容