(Enter summary)
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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