数据新鲜度管理中有效性区间的局限性

arXiv - CS - Databases Pub Date : 2024-07-29 DOI:arxiv-2407.20431

Kyoung-Don Kang

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引用次数: 0

摘要

在智能交通和制造业等数据密集型实时应用中，确保数据的新鲜度至关重要，因为使用过时的数据会导致负面结果。有效区间是确定实时数据库新鲜度要求的标准方法。在本文中，我们提请大家注意有效区间的重大弊端，这些弊端在很大程度上尚未引起人们的注意，我们还介绍了数据新鲜度的新定义，同时讨论了解决这些局限性的未来研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Limitations of Validity Intervals in Data Freshness Management

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.

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arXiv - CS - Databases

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