基于瘦客户端和云计算的智能小区系统设计与实现
Design and Implementation of Intelligent Community System Based on Thin Client and Cloud Computing
摘要：
随着科学技术的不断发展，小区系统的智能化发展成为一种趋势。与此同时，智能移动设备和云计算技术越来越多地应用于智能信息系统中，然而，智能手机和智能平板电脑等智能移动设备（也称为瘦客户端）受到其容量（CPU、内存或电池）或其网络资源的限制，并不总能满足用户使用移动服务的满意度。移动云计算将智能移动终端的资源丰富的虚拟机作为服务提供给客户，这对于扩展真正的智能移动终端的局限性是极好的解决方案，但是其资源利用率低，信息不易共享。针对上述问题，提出了一种由瘦客户端、宽带网络和云计算服务器组成的智能小区信息系统。一方面，瘦客户端具有高能效、高鲁棒性和高计算能力的特点，可以有效避免PC架构和移动设备所遇到的问题。另一方面，所提出的信息系统中的云计算服务器解决了资源共享障碍的问题。最后，在实际环境中对系统进行了性能测试。我们部署在一个社区，超过2000名居民的建议系统，它被证明是强大的和高效的。
英文摘要：
With the continuous development of science and technology, the intelligent development of community system becomes a trend. Meanwhile, smart mobile devices and cloud computing technology are increasingly used in intelligent information systems; however, smart mobile devices such as smartphone and smart pad, also known as thin clients, limited by either their capacities (CPU, memory or battery) or their network resources, do not always meet users' satisfaction in using mobile services. Mobile cloud computing, in which resource-rich virtual machines of smart mobile device are provided to a customer as a service, can be terrific solution for expanding the limitation of real smart mobile device, but the resources utilization rate is low and the information cannot be shared easily. To address the problems above, this paper proposes an information system for intelligent community, which is composed of thin clients, wide band network and cloud computing servers. On one hand, the thin clients with the characteristics of energy efficiency, high robustness and high computing capacity can efficiently avoid the problems encountered in the PC architecture and mobile devices. On the other hand, the cloud computing servers in the proposed information system solve the problems of resource sharing barriers. Finally, the system is built in real environments to evaluate the performance. We deploy the proposed system in a community with more than 2000 residents, and it is demonstrated that the proposed system is robust and efficient.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
