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Published Articles >> Table of Contents >> Abstract
10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems (ECBS'03)
p. 11
Modeling and Generation Tools for Large-Scale, Real-Time Embedded Systems
Ted Bapty, Vanderbilt University
Sandeep Neema, Vanderbilt University
Steve Nordstrom, Vanderbilt University
Shweta Shetty, Vanderbilt University
Divya Vashishtha, Vanderbilt University
Jason Overdorf, Vanderbilt University
Paul Sheldon, Vanderbilt University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ECBS.2003.1194777
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| Abstract |
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High energy physics experiments require very large, real-time computation. Furthermore, the computers that implement on-line processing must be very reliable, due to the large cost of operating the facilities and the potential for loss of irreplaceable data. Standard, redundant fault tolerance approaches are not appropriate due to system costs (Fault handling is limited to 10% overhead). Adaptive, fault-mitigation approaches must be used instead. In this paper, we describe a set of tools for specifying and implementing user-defined adaptation algorithms, using model-based representation for specification and software synthesis for implementation.
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 Additional Information
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Citation:
Ted Bapty, Sandeep Neema, Steve Nordstrom, Shweta Shetty, Divya Vashishtha, Jason Overdorf, Paul Sheldon,
"Modeling and Generation Tools for Large-Scale, Real-Time Embedded Systems,"
ecbs,
p. 11,
10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems (ECBS'03),
2003
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