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13th IEEE Real Time and Embedded Technology and Applications Symposium (RTAS'07)
Optimizing End-to-End Latencies by Adaptation of the Activation Events in Distributed Automotive Systems
Bellevue, Washington
April 03-April 06
ISBN: 0-7695-2800-7
ASCII Text
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Marco Di Natale, Claudio Pinello, Paolo Giusto, Alberto Sangiovanni Vincentelli, "Optimizing End-to-End Latencies by Adaptation of the Activation Events in Distributed Automotive Systems," Real-Time and Embedded Technology and Applications Symposium, IEEE, pp. 293-302, 13th IEEE Real Time and Embedded Technology and Applications Symposium (RTAS'07), 2007.
 
 
BibTex
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@article{ 10.1109/RTAS.2007.24,
author = {Marco Di Natale and Claudio Pinello and Paolo Giusto and Alberto Sangiovanni Vincentelli},
title = {Optimizing End-to-End Latencies by Adaptation of the Activation Events in Distributed Automotive Systems},
journal ={Real-Time and Embedded Technology and Applications Symposium, IEEE},
volume = {0},
year = {2007},
issn = {1080-1812},
pages = {293-302},
doi = {http://doi.ieeecomputersociety.org/10.1109/RTAS.2007.24},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Real-Time and Embedded Technology and Applications Symposium, IEEE
TI - Optimizing End-to-End Latencies by Adaptation of the Activation Events in Distributed Automotive Systems
SN - 1080-1812
SP293
EP302
A1 - Marco Di Natale,
A1 - Claudio Pinello,
A1 - Paolo Giusto,
A1 - Alberto Sangiovanni Vincentelli,
PY - 2007
KW - null
VL - 0
JA - Real-Time and Embedded Technology and Applications Symposium, IEEE
ER -
 
Marco Di Natale, University of California at Berkeley, USA
Claudio Pinello, General Motors Research and Development
Paolo Giusto, General Motors Research and Development
Alberto Sangiovanni Vincentelli, University of California at Berkeley, USA
Schedulability theory provides support for the analysis of the worst case latencies in distributed computations when the architecture of the system is known and the communication and synchronization mechanisms have been defined. In the design of complex automotive systems, however, a great benefit of schedulability analysis may come from its use as an aid in the exploration of the software architecture configurations that can best support the target application. We present an optimization algorithm that leverages the trade-offs between the purely periodic and the data-driven activation models to meet the latency requirements of distributed vehicle functions. We demonstrate its effectiveness on a complex automotive architecture.
Citation:
Marco Di Natale, Claudio Pinello, Paolo Giusto, Alberto Sangiovanni Vincentelli, "Optimizing End-to-End Latencies by Adaptation of the Activation Events in Distributed Automotive Systems," rtas, pp.293-302, 13th IEEE Real Time and Embedded Technology and Applications Symposium (RTAS'07), 2007
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