2004
DOI: 10.1109/tkde.2004.61
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Managing deadline miss ratio and sensor data freshness in real-time databases

Abstract: Abstract-The demand for real-time data services is increasing in many applications including e-commerce, agile manufacturing, and telecommunications network management. In these applications, it is desirable to execute transactions within their deadlines, i.e., before the real-world status changes, using fresh (temporally consistent) data. However, meeting these fundamental requirements is challenging due to dynamic workloads and data access patterns in these applications. Further, transaction timeliness and d… Show more

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Cited by 112 publications
(123 citation statements)
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“…Based on H R , we can observe whether workloads exceed the operating range. Also, we intentionally generate bursty workloads that exceed H R to test the robustness of realtime data services under stress in Section V. Despite the importance, most existing work on feedback control of real-time data service performance, including [4], [3], [5], [6], [7], does not consider the reliability of real-time data services beyond the operating range.…”
Section: Feedback Control Designmentioning
confidence: 99%
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“…Based on H R , we can observe whether workloads exceed the operating range. Also, we intentionally generate bursty workloads that exceed H R to test the robustness of realtime data services under stress in Section V. Despite the importance, most existing work on feedback control of real-time data service performance, including [4], [3], [5], [6], [7], does not consider the reliability of real-time data services beyond the operating range.…”
Section: Feedback Control Designmentioning
confidence: 99%
“…To enhance the quality of real-time data services even in the presence of dynamic workloads, formal feedback control theory [1], [2] has been applied [3], [4], [5]. In these closed-loop approaches, system dynamics are approximated in a piecewise linear manner over a finite operating range of workloads for system modeling [1].…”
Section: Introductionmentioning
confidence: 99%
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“…However, most of the proposed algorithms have ignored the impact on the scheduling of application transactions that are executed concurrently with the update transactions. Many of the previous works assumed that the application transactions are assigned lower priorities compared with the update transactions so that the scheduling of the application transactions will not affect the schedulability of the update transactions [13,19,33]. Although this assumption can simplify the co-scheduling problem, the performance of the application transactions could be severely affected as the workload of update transactions could be heavy in order to maintain the temporal validity of all the real-time data objects.…”
Section: Introductionmentioning
confidence: 99%