Analysis of Energy Reduction on Dynamic Scaling-Enabled Systems
| dc.contributor.author | Yuan, Lin | |
| dc.contributor.author | Qu, Gang | |
| dc.date.accessioned | 2009-03-12T12:44:10Z | |
| dc.date.available | 2009-03-12T12:44:10Z | |
| dc.date.issued | 2005-12 | |
| dc.description.abstract | Dynamic voltage scaling (DVS) is a technique that varies the supply voltage and clock frequency, based on the computation load, to provide desired performance with the minimal amount of energy consumption. It has been demonstrated as one of the most effective low power system design techniques, particularly for real time embedded systems. Most existing work are on two different system models that enable DVS: the ideal DVS system that can change its operating voltage with no physical constraints, and the multiple DVS system that has only a number of discrete voltages available. Although the ideal DVS system provides the theoretical lower bound on system’s energy consumption, it is the practicability of multiple DVS systems and the emergence of other DVS-enabled systems, which do not fit either model, that challenges system designers the following questions: should DVS be implemented in the design or not? if so, how should DVS be implemented? In this paper, we answer these questions by studying the DVS-enabled systems that can vary the operating voltage dynamically under various real-life physical constraints. Based on system’s different behavior during voltage transition, we define the optimistic feasible DVS system and the pessimistic feasible DVS system. We buildmathematical model for each DVSenabled system and analyze their potential in energy reduction. Finally, we simulate a secure wireless communication network with different DVS-enabled systems. The results show that DVS gives significant energy saving over system with fixed voltage. Interestingly, we also observe that although multiple DVS system may consume more energy than the theoretical lower bound, the optimistic and pessimistic feasible DVS systems can achieve energy savings very close to the theoretical bound provided by the ideal DVS system. | en |
| dc.format.extent | 199141 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | L. Yuan and G. Qu. "Analysis of Energy Reduction on Dynamic Voltage Scaling-Enabled Systems," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 24, No. 12, pp. 1827-1837, December 2005. | en |
| dc.identifier.uri | http://hdl.handle.net/1903/8959 | |
| dc.language.iso | en_US | en |
| dc.publisher | IEEE | en |
| dc.relation.isAvailableAt | A. James Clark School of Engineering | en_us |
| dc.relation.isAvailableAt | Electrical & Computer Engineering | en_us |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_us |
| dc.relation.isAvailableAt | University of Maryland (College Park, MD) | en_us |
| dc.rights.license | Copyright © 2005 IEEE. Reprinted from IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Maryland's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. | |
| dc.subject | Low-power design | en |
| dc.subject | Optimization | en |
| dc.subject | Optimization, Power minimization | en |
| dc.subject | Scheduling | en |
| dc.subject | Dynamic voltage scaling | en |
| dc.title | Analysis of Energy Reduction on Dynamic Scaling-Enabled Systems | en |
| dc.type | Article | en |
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