Abstract
The development, deployment, and maintenance of the current space situational awareness (SSA) information system have become increasingly complex. However, researchers cannot flexibly and conveniently apply the research results to practical applications due to the lack of basic research platforms for SSA. Inspired by X as a Service (XaaS), we propose the microservice-based platform for SSA data analytics to provide a scaffold-like platform for researchers. Based on microservice, the architecture for this platform is proposed to meet the requirements of flexible development and loosely coupled deployment. To facilitate the use of the platform, the hybrid data service layer is established to provide basic data for research and the functional service layer is designed to provide services for clients and applications. Due to the massive data processing requirements, the data analysis architecture and processing model, which can easily integrate various user-defined algorithms and significantly improve the computational efficiency, are proposed based on the Lambda architecture. To verify the platform’s effectiveness, two cases are established and implemented. The results show that this platform can provide a convenient, flexible, and efficient platform for the requirements of algorithm integration, experiment, and data display from users and researchers.
Highlights
The importance of the space environment around the earth has increased
The calculation efficiency and accuracy of the grid point method are greatly affected by the grid size. These algorithms are computationally intensive and time-consuming. In view of these problems, we propose a satellite coverage analysis algorithm based on the extended minimum bounding rectangle (EMBR) of the ground area, called EMBR-SCA, to verify and test the platform proposed in this paper
The development, deployment, and maintenance of the current space situational awareness (SSA) service systems have become more complex, which hinders the application of innovative algorithms and the promotion and dissemination of the easy-to-understand SSA knowledge to the public
Summary
The importance of the space environment around the earth has increased. More than 80 countries and organizations have payloads in space [1]. To obtain an efficient and flexible SSAIS by 2020 [11], the United States is building the Joint Space Operations Center Mission System (JMS), a worldwide state-of-the-art SSAIS, based on cloud computing and SOA [12] Almost all these systems use SOA to transform the monolithic architecture and realize a distributed deployment. Concepts of building a civil space traffic management system [18] and a publicly available global SSA information service based on open data sources have been proposed [17] In addition to these concepts, several website portals providing services have been established. In response to the above-mentioned problems and adhering to the idea of X as a Service (XaaS), we propose a microservice-based platform for SSA data analytics to promote the sharing of SSA information and provide convenient and efficient services to researchers who need to build and deploy the related algorithms and applications.
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