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时空大数据资源集成框架设计与应用 被引量:5

DESIGN AND APPLICATION OF SPATIO-TEMPORAL BIG DATA RESOURCE INTEGRATION FRAMEWORK
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摘要 随着地理空间信息技术的快速发展,产生了大量形式各异的时空数据资源与服务应用。针对资源共享存在的服务互操作、消息传输、数据同步和数据传输等技术瓶颈问题,提出一种时空大数据资源集成框架(STDRIF)。采用松耦合模块化的方式,形成一套从数据资源集成到服务调用的完整技术体制,可以有效整合各类时空数据资源。以J2EE架构应用为例,验证了STDRIF的可用性并进行性能分析。实验结果表明,STDRIF具有较高的性能和良好的用户体验。 With the rapid development of the geographic and space information system,a large number of heterogeneous spatio-temporal data resources and service applications have been generated.Aiming at technical bottlenecks in resource sharing,such as service interoperability,message transmission,data synchronization and data transmission,this paper proposes a spatio-temporal big data resource integration framework(STDRIF).A complete set of technical systems from data resource integration to service invocation was formed by loosely coupled modular approach,which could effectively integrate all kinds of spatio-temporal data resources.At last,taking the application of J2EE architecture as an example,we verified the feasibility of STDRID and analyzed its performance.Experimental results show that STDRIF has higher performance and good user experience.
作者 朱利鲁 苏晓露 阎克栋 Zhu Lilu;Su Xiaolu;Yan Kedong(Institute of Electronics,Chinese Academy of Sciences,Suzhou,Suzhou 215123,Jiangsu,China;Key Laboratory of Intelligent Aerospace Big Data Application Technology,Suzhou 215123,Jiangsu,China)
出处 《计算机应用与软件》 北大核心 2020年第3期22-27,37,共7页 Computer Applications and Software
关键词 时空数据 共享服务 集成框架 数据同步 性能测试 Spatio-temporal data Shared services Integration framework Data synchronization Performance testing
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