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Probabilistic Real-Time Data Access with Interval Constraints (1996)  (Make Corrections)  (1 citation)
Lei Zhou, Kang G. Shin, Elke A. Rundensteiner, Nandit Soparkar
RTDB



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Abstract: Real-time data management for manufacturing control applications indicates a need for probabilistic deadline guarantees and interval constraints. When shared data objects are treated as resources, real-time data management becomes a resourceconstrained real-time scheduling problem. In this paper, we perform simulations and measurements to evaluate the utilities of existing real-time scheduling algorithms in our University of Michigan Open-Architecture Controller testbed environment. We exhibit... (Update)

Context of citations to this paper:   More

...evaluation are being developed and will be integrated into ROMPP. The preliminary results of our empirical studies are reported in [48]. 48] F. Need for Schema Evolution Support Figure 11 illustrates how our RTDBS can be used in control application development. The...

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BibTeX entry:   (Update)

L. Zhou, K.G. Shin, E.A. Rundensteiner, and N. Soparkar, "Probabilistic Real-Time Data Access with Interval Constraints," Proceedings of the First International Workshop on Real-Time Databases, March 1996, pp. 15-22. http://citeseer.ist.psu.edu/zhou96probabilistic.html   More

@inproceedings{ zhou96probabilistic,
    author = "Lei Zhou and Kang G. Shin and Elke A. Rundensteiner and Nandit Soparkar",
    title = "Probabilistic Real-Time Data Access with Interval Constraints",
    booktitle = "{RTDB}",
    pages = "14-21",
    year = "1996",
    url = "citeseer.ist.psu.edu/zhou96probabilistic.html" }
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