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Real-time applications such as e-commerce, flight control, chemical and nuclear control, and telecommunication are becoming increasingly sophisticated in their data needs, resulting in greater demands for real-time data services that are provided by real-time databases. Since the workload of real-time databases cannot be precisely predicted, they can become overloaded and thereby cause temporal violations, resulting in damage or even a catastrophe. Imprecise computation techniques address this problem and allow graceful degradation during overloads. In this paper, we present a framework for QoS specification and management consisting of a model for expressing QoS requirements, an architecture based on feedback control scheduling, and a set of algorithms implementing different policies and behaviors. Our approach gives a robust and controlled behavior of real-time databases, even for transient overloads and with inaccurate runtime estimates of the transactions. Further, performance experiments show that the proposed algorithms outperform a set of baseline algorithms that uses feedback control.
Real-time and embedded systems, real-time data services, imprecise computation, feedback control, modeling techniques.
Sang Hyuk Son, Mehdi Amirijoo, J?rgen Hansson, "Specification and Management of QoS in Real-Time Databases Supporting Imprecise Computations", IEEE Transactions on Computers, vol. 55, no. , pp. 304-319, March 2006, doi:10.1109/TC.2006.45
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