Microservice Governance Method For Visualization Analysis Of Spatio-temporal Data On Server

With the development of spatial information technology,application models,information content,analysis methods,and presentation methods,traditional geographic information systems based on map have been difficult to meet the needs of human understanding and transformation of the world.The visualization analysis of mixed spatio-temporal data including graphics,images,text,video.audio,trajectory,point cloud,BIM / CAD and other multi-modal,structured and unstructured,vector and raster become the core content of the new generation of geographic information systems.The system involves different modal spatiotemporal data and different analysis model algorithms in different industry fields.Not only the service types are diverse,and the relationships between services are complex,but also the development environment is isomerous.The huge challenge faced by spatio-temporal data visualization analysis system is how to break through isomerous service barriers and efficiently manage these multi-granularity services.The early geographic information systems were mainly integrated centralized architectures,with high coupling between components and relying on a single operating environment;Currently the service-centric distributed geographic information system architecture,although it is possible to achieve transparent access between isomerous systems through a unified communication standard and access interface,but it generally uses a bus for communication.When the system modules are deployed,the granularity of resource utilization is relatively coarse,which appears bloated in complex applications,and has huge difficult on integration and maintenance.Based on the needs for integration and efficient management for visualization analysis services of spatio-temporal data,the micro-service architecture for visualization analysis of spatio-temporal data is designed in this paper.In order to achieve the high-availability,high-reliability,and high-scalability for the visualization analysis system of spatio-temporal data the microservice governance method for visualization analysis of spatio-temporal data is studied.The specific research content is as follows:(1)The microservice architecture for visualization analysis of spatio-temporal data.Aiming at spatio-temporal data,multi-level analysis system and its visualization characteristics,a microservice-based service architecture for visualization analysis of spatiotemporal data is proposed.At the same time,in order to overcome the technical problems of service communication and integration in isomerous systems,a method for mult-ilingual service interaction is proposed.(2)The governance method for visualization analysis of spatio-temporal data.Based on the microservice architecture for visualization analysis of spatio-temporal data,the methods for mircoservice management nad service governance is studied.In order to ensure the high availability,high reliability and high scalability of the system,the multi-granularity service dynamic scaling,registration discovery and status monitoring are realized.(3)Based on the above research findings,a prototype system is constructed and a case study is carried out taking static data services as an example.Experimental analysis is carried out to verify the effectiveness of the theoretical method proposed in this paper.The experimental results show that the method proposed in this paper can achieve efficient integration and management of services,and improve the stability and scalability of the system.