Application Research of Meteorological Product Processing System Based on Container Scheduling Technology
With the rapid development of research-oriented business,business and scientific research personnel urgently need a new technology to support the development of meteorological business and scientific research,which can run independently,highly available,highly concurrent,personalized R&D environment,rapid deployment and transplantation without reducing computing efficiency and making full use of computing resources.This paper analyzes the application of container technology in data processing line(DPL).The research shows that Docker container can realize the personalization of R&D environment and the independence of business execution from the system logic level,and release resources after business execution to ensure the full sharing and utilization of resources,At the same time,the container based distributed architecture Kubernetes technology is used to achieve high concurrency and load balancing scheduling of containers,which can meet the needs of high concurrency execution of meteorological products at fixed time,and the execution efficiency is no lower than that of physical machine clus-ter.This technology can be applied to the scheduling operation of routine meteorological products business and scientific re-search algorithm in national and provincial meteorological data processing line system.
containerDockerCM A DaaSimage repositoryDPLKubernetesload balancing
万方数据
维普
