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International Parallel and Distributed Processing Symposium (IPDPS'03)
Real-Time Hybrid Task Scheduling Upon Multiprocessor Production Stages
Nice, France
April 22-April 26
ISBN: 0-7695-1926-1
ASCII Text
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Dania A. El-Kebbe, "Real-Time Hybrid Task Scheduling Upon Multiprocessor Production Stages," Parallel and Distributed Processing Symposium, International, pp. 114b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003.
 
 
BibTex
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@article{ 10.1109/IPDPS.2003.1213227,
author = {Dania A. El-Kebbe},
title = {Real-Time Hybrid Task Scheduling Upon Multiprocessor Production Stages},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {0},
year = {2003},
issn = {1530-2075},
pages = {114b},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213227},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Real-Time Hybrid Task Scheduling Upon Multiprocessor Production Stages
SN - 1530-2075
SP
EP
A1 - Dania A. El-Kebbe,
PY - 2003
KW - null
VL - 0
JA - Parallel and Distributed Processing Symposium, International
ER -
 
This paper deals with predictable real-time scheduling upon multiprocessor production stages in manufacturing systems underlying real-time constraints. The preemptive scheduling of systems consisting of hybrid (periodic and aperiodic) tasks on a platform comprised of several uniform multiprocessors is considered. A scheduling algorithm, the Total Bandwidth Server on uniform multiprocessors, is developed. The scheduling algorithm is analyzed by considering its performance when it is allowed to run on faster machines. The predictability of the system is proved through schedulability analysis techniques. The performance of the system is analyzed through simulation studies.
Citation:
Dania A. El-Kebbe, "Real-Time Hybrid Task Scheduling Upon Multiprocessor Production Stages," ipdps, pp.114b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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