让数据主动交互，提升复杂数据处理效率
Active Data
- 将数据视为可主动互动的原子对象，自下而上构建系统
- 在空管流量管理中验证，有效应对计算与概念复杂性
- 适合需动态响应的复杂系统设计者参考
在某些复杂领域，特定的问题分解方式相较于整体式设计更具优势，能提升设计的理解与表达能力。本文提出一种直观且可操作的方法，用于推理大规模复杂数据集。该方法基于‘主动数据’（Active Data）——即作为原子对象、能够主动与环境交互的数据。我们阐述了这种自下而上的方法如何改善面对计算与概念复杂性的系统设计。文中在空中交通流量管理领域实现了主动数据的基本概念，并讨论了该实现的性能表现。
原文摘要 · Abstract (English)
In some complex domains, certain problem-specific decompositions can provide advantages over monolithic designs by enabling comprehension and specification of the design. In this paper we present an intuitive and tractable approach to reasoning over large and complex data sets. Our approach is based on Active Data, i.e., data as atomic objects that actively interact with environments. We describe our intuition about how this bottom-up approach improves designs confronting computational and conceptual complexity. We describe an implementation of the base Active Data concepts within the air traffic flow management domain and discuss performance for this implementation.
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