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Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
Gracefully Degrading Battery-Aware Static Multiprocessor Schedules Based on Symmetric Task Fusion
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
ASCII Text
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Frode Eika Sandnes, Oliver Sinnen, Yo-Ping Huang, "Gracefully Degrading Battery-Aware Static Multiprocessor Schedules Based on Symmetric Task Fusion," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 1073-1077, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/PDCAT.2005.147,
author = {Frode Eika Sandnes and Oliver Sinnen and Yo-Ping Huang},
title = {Gracefully Degrading Battery-Aware Static Multiprocessor Schedules Based on Symmetric Task Fusion},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {1073-1077},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.147},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Gracefully Degrading Battery-Aware Static Multiprocessor Schedules Based on Symmetric Task Fusion
SN - 0-7695-2405-2
SP1073
EP1077
A1 - Frode Eika Sandnes,
A1 - Oliver Sinnen,
A1 - Yo-Ping Huang,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Frode Eika Sandnes, Oslo University College, Norway
Oliver Sinnen, University of Auckland, New Zealand
Yo-Ping Huang, Tatung University, Taiwan
A novel strategy for employing schedules obtained using standard static scheduling algorithms in a battery powered multiprocessor environment is investigated. The strategy is able to dynamically respond to deteriorating batteries and operate with fewer processors according to the battery levels of the system. The nature of the proposed approach allows poorly performing batteries to recover through self charge. The strategy therefore maximizes the battery life and the operation time of the device.
Citation:
Frode Eika Sandnes, Oliver Sinnen, Yo-Ping Huang, "Gracefully Degrading Battery-Aware Static Multiprocessor Schedules Based on Symmetric Task Fusion," pdcat, pp.1073-1077, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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