Low Power Process Assignment for Distributed Embedded Systems using Dynamic Voltage Scaling
Low Power Process Assignment for Distributed Embedded Systems using Dynamic Voltage Scaling
This paper presents an efficient algorithm for voltage scaling of an distributed embedded system taking communicating processes into account. The algorithm finds scaled voltages for each processes without restricting the applicable voltage levels apriori. In addition the algorithm is not limited by a fixed power consumption among processes. Furthermore we show the importance of a process optimisation which is optimised for the dynamic voltage scaling (DVS) technique. Various examples from the literature and randomly generate show the efficiency of the proposed scaling algorithm and the DVS optimised process assignment.
7/1-7/4
Schmitz, Marcus T.
76acfda5-3d49-47a0-a38b-a73273f2ba21
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
December 2000
Schmitz, Marcus T.
76acfda5-3d49-47a0-a38b-a73273f2ba21
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Schmitz, Marcus T. and Al-Hashimi, Bashir M.
(2000)
Low Power Process Assignment for Distributed Embedded Systems using Dynamic Voltage Scaling.
IEE Hardware-Software Co-Design.
.
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Abstract
This paper presents an efficient algorithm for voltage scaling of an distributed embedded system taking communicating processes into account. The algorithm finds scaled voltages for each processes without restricting the applicable voltage levels apriori. In addition the algorithm is not limited by a fixed power consumption among processes. Furthermore we show the importance of a process optimisation which is optimised for the dynamic voltage scaling (DVS) technique. Various examples from the literature and randomly generate show the efficiency of the proposed scaling algorithm and the DVS optimised process assignment.
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low_power.pdf
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Published date: December 2000
Venue - Dates:
IEE Hardware-Software Co-Design, 2000-12-01
Organisations:
Electronic & Software Systems
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Local EPrints ID: 254223
URI: http://eprints.soton.ac.uk/id/eprint/254223
PURE UUID: e15c4d72-2aa3-43e0-97f9-333f43487669
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Date deposited: 10 Dec 2000
Last modified: 14 Mar 2024 05:31
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Contributors
Author:
Marcus T. Schmitz
Author:
Bashir M. Al-Hashimi
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