为了解决船舶与海洋大数据算法模型资源共享问题，本文构建船舶与海洋大数据算法模型资源共享系统，系统具备研制、优化、集成船舶行业和海洋领域专用算法模型资源能力，以源代码或二进制库方式对船舶行业和海洋领域专用算法模型资源进行集成，通过Restful API接口方式为外部授权应用系统提供模型算法计算服务。性能测试结果表明，船舶与海洋大数据算法模型资源共享系统具备多用户并发算法模型资源共享服务能力和性能可扩展性。
In order to solve the problem of resource sharing of ship and ocean big data algorithm model, this paper constructs a resource sharing system of ship and ocean big data algorithm model. This system has the ability to develop, optimize, and integrate resources of ship industry and ocean domain specific algorithm model. It integrates ship industry and ocean domain specific algorithm model resources in the form of source code or binary library, and provides algorithm model computing services for external authorized application systems through Restful API interface. The performance test results indicate that the ship and ocean big data algorithm model resource sharing system has the ability to provide multi user concurrent services and scalability.
2023,45(18): 143-146 收稿日期：2023-06-30
DOI：10.3404/j.issn.1672-7649.2023.18.025
分类号：TP391
作者简介：石刘(1982-),男,高级工程师,研究方向为船舶与海洋电子信息体系、系统与算法
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