基于云计算平台的智慧城市管理系统设计

为了解决智慧城市管理过程中常出现资源调度速度过慢问题,设计了云计算平台的智慧城市管理系统。该系统采用云管理模块下监控各硬件设备,并构建云计算资源调度目标函数,利用文化粒子群算法对目标函数求解,得到云计算资源调度方案,最后测试结果表明,该系统能够实现智慧城市有效管理,并能实时监测城市情况,在实行资源调度时,任务完成时间较短且系统利用率较高,能够实现资源最大化利用。

Design of smart city management system based on cloud computing platform

In order to solve the problem of slow resource scheduling in the process of smart city management,a smart city management system based on cloud computing platform is designed.The system uses the cloud management module to monitor the hardware equipment,and constructs the cloud computing resource scheduling objective function.The objective function is solved by using the cultural particle swarm optimization algorithm,which obtains the cloud computing resource scheduling scheme.Finally,the test results show that the system can realize the effective management of smart city and real-time monitoring of the city situation.In the implementation of resource scheduling,the task completion time is short,and the system utilization rate is high,which can realize the maximum utilization of resources.