In data-intensive real-time applications, such as smart transportation and manufacturing, ensuring data freshness is essential, as using obsolete data can lead to negative outcomes. Validity intervals serve as the standard means to specify freshness requirements in real-time databases. In this paper, we bring attention to significant drawbacks of validity intervals that have largely been unnoticed and introduce a new definition of data freshness, while discussing future research directions to address these limitations.

翻译：在数据密集型实时应用（如智能交通与智能制造）中，确保数据新鲜度至关重要，因为使用过时数据可能导致负面后果。有效性区间是实时数据库中规定新鲜度要求的标准方法。本文指出有效性区间存在若干长期被忽视的重大缺陷，提出数据新鲜度的新定义，并探讨解决这些局限性的未来研究方向。