Design And Implementation Of Optimal Data Management Systems For Greeting Robots Based On Cloud Platform

With the development robotic technology,intelligent greeting robots are used in services such as reception,navigation and others widely,improved work efficiency,reduced production costs and improved quality of life.Traditional greeting robots store data locally.This storage method would face a lot of problems,such as low capacity,high cost,and difficulty in expansion.At the same time,the greeting robot works at public places,which would also cause a lot of problems,for example,the data is difficult to manage,the real-time performance is poor,the synchronization is slow,the position status is difficult to monitor.Therefore,it is particularly necessary to establish a cloud platform.Based on the YuJiao greeting robot and cloud storage technology,in this paper,a optimal data management system is designed for the greeting robot,adaptive feedback load balancing are applied to optimize the cloud platform,which balance data and improve speed of visiting.Based on cloud platform,the greeting robot optimal data management system integrates various advanced technologies such as Java technology,Web development technology,distributed framework,database and network communication,and has the advantages of high reliability,scalability and fault tolerance.Distributed deployment on inexpensive machines reduces operating costs and meets the data storage management capabilities of the Greeting Robot to meet planned design goals.The main research contents of this paper are as follows:First,combine with the use scenarios of the greeting robot,analyze the overall requirements of the greeting robot optimal data management system based on cloud platform,and design the overall architecture of the greeting optimal data management system based on the cloud platform,and determine the greeting robot optimal data management system based on wireless network communication and a storage platform based on a distributed file system.Second,based on cloud platform,the greeting robot optimal data management system adopts the SSM framework as the system software design architecture.It uses TCP/IP,NAT,Socket and other communication technologies.The database table structure is designed according to the ER diagram,and the user login,data management,fault record,real-time monitoring,user management and other business functions are designed.Third,aim at the boundedness of random static load balancing of HDFS,based on the adaptive feedback load balancing that driver by request,threshold is introduced to improve balance of nodes,the utilization of disk,reduce the consume of CPU?memory without request,which improve the speed of request and response.Fourth,build a highly available cloud platform,deploy the application software to the server,combine the greeting robot,test various functions of system,ensure the system can complete the business according the requirements analysis and function design.