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  • 标题:Adaptive Online Voltage Scaling Scheme Based on the Nash Bargaining Solution
  • 本地全文:下载
  • 作者:Kim, Sung-Wook
  • 期刊名称:ETRI Journal
  • 印刷版ISSN:1225-6463
  • 电子版ISSN:2233-7326
  • 出版年度:2011
  • 卷号:33
  • 期号:3
  • 页码:407-414
  • DOI:10.4218/etrij.11.0110.0417
  • 语种:English
  • 出版社:Electronics and Telecommunications Research Institute
  • 摘要: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.
  • 关键词:Dynamic voltage scaling;multiprocessor power management;Nash bargaining solution;energy efficiency;online decisions
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