Argonne Leadership Computing Facility / Computer Science Illinois Institute of Technology Chicago / /
IndustryTerm
variable electricity price / high electricity pricing period / energy demand / exascale computing / energy more efficiently / energy characteristics / transportation / electricity prices / on-line scheduling algorithm / particular hardware / energy bill / 3D torus network / variable energy prices / potential scheduling solutions / energy cost significantly / different energy-consuming behaviors / different systems / power-aware scheduling algorithm / resource management / frequency processors / contiguous systems / Energy expense / Internet data centers / energy savings / energy / electricity price / energy costs / peak electricity price period / variable electricity prices / electricity / energy consumption / energy cost / considerable energy / Energy-efficient hardware / energy bills / Energy cost saving / transportation manufacturing industry / energy equivalent / considerable energy cost / energy saving / energy efficiency / computing / energy cost savings / on-line scheduling / location-aware computing / wholesale electricity markets / job-specific torus network / petascale systems / at reducing energy cost / /
Organization
Argonne National Lab. / Department of Computer Science Illinois Institute of Technology Chicago / /
Person
Job Power Profile / Job Power Profiling / Cobalt / /
Position
resource manager / head / data center administrator / backfilling scheduler / representative / scheduler / scheduler at job submission / knapsack model / and on-line scheduling algorithm / /
Product
Blue Gene/P / /
Technology
high frequency processors / on-line scheduling algorithm / power-aware scheduling algorithm / cooling technologies / simulation / /
Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling Zhou Zhou1 , Zhiling Lan1 , Wei Tang2 , and Narayan Desai2 1 2