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Adaptive Online Voltage Scaling Scheme Based on the Nash Bargaining Solution
Author(s) -
Kim Sungwook
Publication year - 2011
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.11.0110.0417
Subject(s) - dynamic voltage scaling , computer science , scheme (mathematics) , voltage , multiprocessing , bargaining problem , scaling , energy consumption , power consumption , power (physics) , frequency scaling , engineering , parallel computing , mathematics , mathematical analysis , physics , geometry , mathematical economics , quantum mechanics , electrical engineering
In an effort to reduce energy consumption, research into adaptive power management in real‐time systems has become widespread. In this paper, a novel dynamic voltage scaling scheme is proposed for multiprocessor systems. Based on the concept of the Nash bargaining solution, a processor's clock speed and supply voltage are dynamically adjusted to satisfy these conflicting performance metrics. In addition, the proposed algorithm is implemented to react adaptively to the current system conditions by using an adaptive online approach. Simulation results clearly indicate that the superior performance of the proposed scheme can strike the appropriate performance balance between contradictory requirements.

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