Design And Implementation Of Cloud Edge Collaboration Module Of Intelligent Elderly Care Operation And Maintenance Platform

In recent years,the cloud edge collaboration technology has been developed rapidly,which makes the application of cloud edge collaborative computing to improve the efficiency,reliability and security of intelligent elderly care operation and maintenance platform become a new research hotspot.Based on the existing intelligent elderly care maintenance platform’s system architecture,this thesis proposes an optimized design and implementation scheme of intelligent elderly care cloud edge collaboration module,which is based on the improved Kubernetes and KubeEdge container orchestration framework.The scheme realizes the synchronization of configuration data changes between container applications of the platform,the collection,processing and visualization of various index data of edge nodes and applications.What’s more,by applying resources constraints,predicting application load and improving container scaling mechanism,the scheme realizes the optimization of application elastic management function in intelligent elderly care operation and maintenance platform.The main work of this thesis is as follows:1.Aiming at the problems of slow service response caused by difficult synchronization and long delay of configuration data changes,which happened between containers of services and equipment of intelligent elderly care operation and maintenance platform,an optimized configuration data management and synchronization scheme suitable for intelligent elderly care cloud platform is proposed.The scheme uses the original Configmap of Kubernetes as the carrier of configuration transmission and stores configuration data in combination with the database.The changed configuration data will be pushed to the platform’s server to update the application once the data is changed,and the data is synchronized regularly at other times,what is called a push-pull combination scheme.Compared with the existing schemes,this method reduces the pressure of network resources brought by maintaining the connection to update the configuration in real time,improves the speed of configuration synchronization and enhances the reliability of the system.2.In order to collect the application data and node data at the edge of the intelligent elderly care operation and maintenance platform,combined with the principle of the Prometheus and KubeEdge’s collecting and processing data,this thesis puts forward an optimized design and implementation scheme of the data collection and monitoring module of the intelligent elderly care operation and maintenance platform,and realizes the visualization of container and node index data based on the Grafana.At the platform’s edge side,the scheme only needs to deploy lightweight data collection applications.By building a new KubeEdge data transmission tunnel,the data can be transmitted to the platform’s cloud for unified processing.Compared with the existing schemes,this scheme requires less memory resources at edge nodes,which effectively improves the availability of intelligent elderly care operation and maintenance platform services.3.Aiming at the problem of management lag at the edge of the intelligent elderly care operation and maintenance platform in the scenario of limited node resources and large sudden change of traffic,an optimized design and implementation scheme of predicting the elastic management container of the platform based on the grey model with sliding window is proposed.The scheme calculates the application index data collected by the data collection and monitor module of the platform.When the index data changes abnormally,the data reliability is improved by optimizing the definite solution conditions of the grey model and clearing the oldest data in time.After that,the change of application index data is predicted based on the prediction model to realize automatic scaling of the application.The test and practical application results prove that this scheme is better than the existing automatic scaling scheme,and reduces the response time of the micro service of the intelligent elderly care operation and maintenance platform.