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Optimality, Fairness, and Robustness in Speed Scaling Designs — Extended Version Lachlan L.H. Andrew Centre for Advanced Internet Architectures Swinburne University of Technology, Australia
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Document Date: 2014-01-09 20:53:20


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New York / /

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United States / /

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pence / USD / /

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Minghong Lin Adam Wierman Computer Science Department California Institute of Technology / Advanced Internet Architectures Swinburne University of Technology / /

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minimal hardware / web applications / main performance objectives balancing energy / offline algorithm / energy/power budget / online energy-proportional speed scaler / gated-static speed scaling algorithm / dynamic and gated-static speed scaling algorithms / mean energy / energy use / energy-proportional designs / dynamic speed scaling algorithm / numeric algorithm / speed scaling algorithms / energy usage / energy / Internet Architectures Swinburne University / natural algorithms / excess energy / web servers / computer systems / dynamic speed scaling algorithms / speed scaling systems / natural algorithm / to natural algorithms / energy-proportional speed scaling / given algorithm / Natural speed scaling algorithms / operations management / energy efficiency / speed scaling algorithm / /

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Version Lachlan L.H. Andrew Centre / California Institute of Technology / Swinburne University of Technology / DP PS / DP SRPT / L’Hospital / /

Person

LIN SRPT / P . Our / LIN PS / /

Position

speed scaling model / Name Scheduler / worst-case model / Rt / General / model / designer / scheduler / stochastic model / /

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New York / /

Technology

natural algorithm / speed scaling algorithms / dynamic speed scaling algorithms / dynamic speed scaling algorithm / operating systems / mobile devices / promising algorithm / speed scaling algorithm / CMOS chip / given algorithm / gated-static speed scaling algorithm / Natural speed scaling algorithms / simulation / dynamic and gated-static speed scaling algorithms / numeric algorithm / found using the numeric algorithm / /

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