Google / National Renewable Energy Laboratory / Facebook / Metrical Task Systems / HewlettPackard Labs / SIAM Journal / HP / Microsoft / /
Country
Jordan / United States / / /
Facility
Swinburne University of Technology / University of California at Berkeley / California Institute of Technology / /
IndustryTerm
performance management / industrial electricity price / Wind energy / energy saving measures / electricity prices / local renewable energy / classical algorithm / solar thermal electricity technology / offline algorithm / lower brown energy consumption / offline optimal solution / relative energy cost / energy price / renewable energy sources / online smooth convex optimization problem / lightwave technology / Internet-scale services / photovoltaic systems / server farm management / renewable energy / suggested algorithm / energy prices / sustainable energy / relative brown energy usage / distributed internet data centers / Internet-scale system operators / energy usage / energy / processor sharing systems / electricity price / energy costs / connection-intensive internet services / electricity / energy consumption / energy cost / power management / electricity cost / Internet energy costs / active server / important applications / minimal energy / Internet-scale system We model / brown energy consumption / Internet-scale systems costs millions / energy-performance trade-off / Internet-scale systems / energy management / energy-aware server / deterministic algorithm / on-line algorithm / little bit more energy / bad algorithms / aggregate wind energy / solar energy / energy-efficient / Internet-scale system / computing / online algorithms / internet users / energy.html / Internet-scale service / virtualized computing environments / online solutions / brown energy usage / optical networks / large-scale wdm optical networks / /
MarketIndex
set 10 / /
Organization
California Institute of Technology / University of California / National Science Foundation / IL NC / ARC / Swinburne University of Technology / RHC AFHC / Congressional Research Service / Lee Center for Advanced Networking / /
Person
Adam Wierman / A. Gandhi / V / James Hamilton / Washington Virginia Oregon / /
Position
general model for this setting / linear lost revenue function rt / rt / Governor / /
Product
Trace 1 / Altec XT1 Speakers / /
ProvinceOrState
Texas / Virginia / Illinois / South Carolina / Florida / North Carolina / California / Georgia / /
Online Algorithms for Geographical Load Balancing Minghong Lin∗ , Zhenhua Liu∗ , Adam Wierman∗ , Lachlan L. H. Andrew† ∗ California Institute of Technology, Email: {mhlin,zhenhua,adamw}@caltech.edu † Swinburn