空间资源配置视角下智慧城市大数据云服务平台设计

Design of Big Data Cloud Service Platform for Smart City from the Perspective of Spatial Resource Allocation

基于现有研究成果,设计一种空间资源配置视角下智慧城市大数据云服务平台。平台架构由终端接入平台、应用软件平台、云数据中心、通信网络构成。平台则由多个模块构成,其中加密模块使用哈希SDH算法、非对称RSA加密技术等进行加密。资源库模块中包含多种构建智慧城市的基础资源数据,具体包括社区办事流程数据、房屋数据等。数据缓存模块主要通过分布式缓存模型进行云服务平台的分布式缓存。数据服务模块能够为云服务平台提供构建智慧城市方面的大数据服务。云服务平台的云服务节点具体包括控制节点与计算节点。对验证设计平台能否正常的运作以及是否达到设计要求,对其进行实际的社区应用,通过应用后表明平台的并发性能瓶颈约为40000个用户;平台实际操作通过率基本可达100%。说明平台基本可以达到预期设计要求。

Based on existing research results,design a smart city big data cloud service platform from the perspective of spatial resource allocation.The platform architecture consists of a terminal access platform,an application software platform,a cloud data center,and a communication network.The platform is composed of multiple modules,among which the encryption module uses hash SDH algorithm,asymmetric RSA encryption technology,etc.for encryption.The resource library module contains a variety of basic resource data for building a smart city,including community business process data,housing data,etc.The data caching module mainly uses the distributed caching model to perform distributed caching of the cloud service platform.The data service module can provide cloud service platforms with big data services for building smart cities.The cloud service nodes of the cloud service platform specifically include control nodes and computing nodes.To verify the normal operation of the design platform and whether it meets the design requirements,the actual community application is carried out.After the application,the concurrent performance bottleneck of the platform is about 40000 users;the actual operation pass rate of the platform can basically reach 100%.It shows that the platform can basically meet the expected design requirements.