Data Management

Estimating and Enhancing Real-Time Data Service Delays: Control Theoretic Approaches

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Executive Summary

It is essential to process real-time data service requests such as stock quotes and trade transactions in a timely manner using fresh data, which represent the current real world phenomena such as the stock market status. Users may simply leave when the database service delay is excessive. Also, temporally inconsistent data may give an outdated view of the real world status. However, supporting the desired timeliness and freshness is challenging due to dynamic workloads. To address the problem, the authors present new approaches for database backlog estimation, fine-grained closed-loop admission control based on the backlog model, and incoming load smoothing.

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