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THE FUTURE ROLE OF DATA ARCHITECTURE IN SPACE EXPLORATION

机译:数据架构在空间探索中的未来作用

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Extending the presence of humans beyond earth orbit will require changes in the architectures employed to create, manage and use data. The earth-centric data architectures in place today must evolve to become integrated earth-space architectures that not only support the safety of the crew and accomplishment of mission milestones, but also support the inventiveness of human explorers and return the richer set of data that will be developed by their interaction with non-terrestrial worlds. Future space vehicles and outposts must become self-sufficient data processing centers participating within an earth-space based network of explorers, scientists, engineers and mission operators. Space-based data architectures must address the paradox of autonomous self-sufficient operations in conjunction with integrated collaboration; all within the constraints imposed by the distances and infrastructure of space based communications. The key to resolving this lies in moving beyond techniques such as indexing and key words for search, retrieval and synchronization of data, to taxonomy-based classification of data and content and to taxonomy-based discovery, replication and synchronization of data and content across earth-space data processing networks.
机译:将人类的存在扩展到地球轨道之外将需要更改用于创建,管理和使用数据的体系结构。今天到位的以地球为中心的数据体系结构必须发展成为集成的地球空间体系结构,不仅支持人员安全和完成任务里程碑,而且还支持人类探索者的创造力并返回更丰富的数据集。通过与非地球世界的互动而发展。未来的太空飞行器和前哨基地必须成为自给自足的数据处理中心,参与由探索者,科学家,工程师和任务执行者组成的基于地球空间的网络。天基数据架构必须结合集成协作解决自主自给自足操作的悖论。所有这些都受到基于空间的通信的距离和基础设施所施加的限制。解决此问题的关键在于超越诸如索引和用于搜索,检索和同步数据的关键字之类的技术,转向基于分类学的数据和内容分类,以及基于分类学的发现,数据复制和跨地球同步的技术空间数据处理网络。

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