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19th International Conference on VLSI Design held jointly with 5th International Conference on Embedded Systems Design (VLSID'06)
Recovery-Based Real-Time Static Scheduling for Battery Life Optimization
Hyderabad, India
January 03-January 07
ISBN: 0-7695-2502-4
ASCII Text
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Anirban Lahiri, Saurabh Agarwal, Anupam Basu, Bhargab B. Bhattacharya, "Recovery-Based Real-Time Static Scheduling for Battery Life Optimization," VLSI Design, International Conference on, pp. 469-472, 19th International Conference on VLSI Design held jointly with 5th International Conference on Embedded Systems Design (VLSID'06), 2006.
 
 
BibTex
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@article{ 10.1109/VLSID.2006.139,
author = {Anirban Lahiri and Saurabh Agarwal and Anupam Basu and Bhargab B. Bhattacharya},
title = {Recovery-Based Real-Time Static Scheduling for Battery Life Optimization},
journal ={VLSI Design, International Conference on},
volume = {0},
year = {2006},
issn = {1063-9667},
pages = {469-472},
doi = {http://doi.ieeecomputersociety.org/10.1109/VLSID.2006.139},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - VLSI Design, International Conference on
TI - Recovery-Based Real-Time Static Scheduling for Battery Life Optimization
SN - 1063-9667
SP469
EP472
A1 - Anirban Lahiri,
A1 - Saurabh Agarwal,
A1 - Anupam Basu,
A1 - Bhargab B. Bhattacharya,
PY - 2006
KW - null
VL - 0
JA - VLSI Design, International Conference on
ER -
 
Anirban Lahiri, Indian Institute of Technology - Kharagpur
Saurabh Agarwal, Indian Institute of Technology - Kharagpur
Anupam Basu, Indian Institute of Technology - Kharagpur
Bhargab B. Bhattacharya, Indian Statistical Institute
A real-time, static scheduling algorithm for battery life optimization has been presented in this paper. The work aims to extend existing battery aware scheduling techniques. It differs from previous work as it takes into consideration many aspects of battery recovery that were not considered previously. This allows for further enhancement of the system battery life by up to 29.41%.The scheduling algorithm achieves a total battery life extension of up to 37.7%.
Citation:
Anirban Lahiri, Saurabh Agarwal, Anupam Basu, Bhargab B. Bhattacharya, "Recovery-Based Real-Time Static Scheduling for Battery Life Optimization," vlsid, pp.469-472, 19th International Conference on VLSI Design held jointly with 5th International Conference on Embedded Systems Design (VLSID'06), 2006
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