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Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'06)
An Optimal Adaptive Checkpoint Strategy for DMR with Energy-Aware
Taipei, Taiwan
December 04-December 07
ISBN: 0-7695-2736-1
ASCII Text
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Zhongwen Li, Yefeng Jiang, "An Optimal Adaptive Checkpoint Strategy for DMR with Energy-Aware," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 535-538, Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'06), 2006.
 
 
BibTex
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@article{ 10.1109/PDCAT.2006.35,
author = {Zhongwen Li and Yefeng Jiang},
title = {An Optimal Adaptive Checkpoint Strategy for DMR with Energy-Aware},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2736-1},
pages = {535-538},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2006.35},
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 - An Optimal Adaptive Checkpoint Strategy for DMR with Energy-Aware
SN - 0-7695-2736-1
SP535
EP538
A1 - Zhongwen Li,
A1 - Yefeng Jiang,
PY - 2006
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Zhongwen Li, Xiamen University, China; ZhongShan School, China
Yefeng Jiang, Xiamen University, China
A combination of DVS and CSCPs (CCPs or SCPs) can be used to satisfy system's DVS requirement and improve the performance of realtime systems. However, few papers addresses these issues in conjunction. In this paper, we present an integrated approach that facilitates fault tolerance through additional CCPs and SCPs checkpoints and power management through DVS. Further, an optimal checkpointing interval that minimizes the average times is analytically derived and is numerically computed. Numerical examples results show that compared to previous method, the proposed approach reduces task average execution time.
Citation:
Zhongwen Li, Yefeng Jiang, "An Optimal Adaptive Checkpoint Strategy for DMR with Energy-Aware," pdcat, pp.535-538, Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'06), 2006
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