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System Energy Consumption is a Multi-Player Game [Extended Abstract for Special Session] Mian Dong† , Tian Lan‡ , and Lin Zhong† † Rice University, Houston, TX
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Document Date: 2012-11-02 12:34:33


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City

Washington / DC / Bilbao / San Jose / /

Company

Princeton University Press / /

Country

United States / /

Currency

USD / /

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Facility

George Washington University / Rice University / /

IndustryTerm

Per-process energy accounting / grained energy accounting / energy contribution / per-process energy consumptions φi / system energy consumption / background applications / electricity / energy constraints / estimate system energy consumption / computer systems / energy consumption / energy management algorithms / distributed energy consumption / Self-constructive high-rate system energy modeling / energy attribution policy / software processes / perprocess energy accounting / online power estimation / rogue applications / software optimization / energy management / value solution / energy accounting policy / app energy consumption / per-processes energy consumption budgets / energy accounting / battery-powered mobile systems / energy metering framework / energy accounting policies / energy management solutions / energy contributions / mobile systems / energy estimation / energy / also complement existing energy management solutions / /

OperatingSystem

Linux / /

Organization

Rice University / Houston / Princeton University / George Washington University / Washington / /

Person

Game / Lin Zhong / /

Position

Multi-Player / scheduler / player / /

ProgrammingLanguage

DC / /

ProvinceOrState

California / /

Technology

System-on-Chip / Linux / smartphones / smartphone / GPS / Mobile Computing / machine learning / android / operating system / energy management algorithms / mobile devices / /

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