In data-intensive real-time embedded applications, it is desirable to process data service requests in a timely manner using fresh data, spending less power. However, related work is relatively scarce despite the importance. In this paper, we present an effective approach to reduce both deadline misses and power expenditure in real-time databases with one or more processor by merging similar real-time queries to decrease repeated data accesses and processing, while doing dynamic power management. In a simulation study, our approach substantially decreases deadline misses and power consumption compared to state-of-the-art baselines.

中文翻译：

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增强实时数据库的时效性和节能性

在数据密集型实时嵌入式应用中，希望使用新数据及时处理数据服务请求，消耗更少的电量。然而，相关工作尽管很重要，但相对较少。在本文中，我们提出了一种有效的方法，通过合并类似的实时查询来减少重复的数据访问和处理，同时进行动态电源管理，从而减少具有一个或多个处理器的实时数据库中的截止时间未命中和功率消耗。在模拟研究中，与最先进的基线相比，我们的方法大大减少了最后期限未命中和功耗。