GPU / CPU / Gigabyte / AMD / ASUS / IBM / Western Digital / MySQL / Yokogawa / Intel / Microsoft / Deluxe / Creative Commons / /
Continent
America / Asia / /
Country
United States / /
Currency
USD / / /
Facility
Jignesh M. Patel Computer Sciences Department University of Wisconsin-Madison / In The Uptime Institute / Data Center / /
IndustryTerm
energy consumption considerations / energy consumption savings / hardware systems / user level software / database systems / energy efficient methods / distributed computing environments / energy goals / energy management techniques / improved disk energy efficiency / lower energy consumption / software packages / energy savings / energy / energy consumption / software services / data processing / power management / electricity consumption / energy-efficient hardware / higher-level software / automatic transitions given protocols / energy efficiency tradeoffs / energy efficiencies / Energy management / energy efficiency / data center management / energy efficient sorting / client applications / data processing environments / dynamic workload management / ignored energy efficiency / energy-efficient data processing / disk energy consumption / amortized energy cost / software displays information / hardware energy consumption characteristics / energy efficient data centers / energy characteristics / desktop processor / lower energy cost / query processing / energy trade-off / improved energy efficiency / energy efficiency performance / built-in automatic processor / overall energy consumption / overall energy efficiency / reduced overall energy consumption / finer grained tool / query processing environments / energy efficient query processing / energy consumption goals / energy costs / peak energy / overall system energy consumption / energy cost / server hardware / distributed data processing communities / energy consumption changes / observed energy costs / processor energy consumption / energy saving / energy efficient data processing techniques / balanced systems / data processing system / motherboard manufacturer / workload management / hardware-based energy efficiency methods / average per-query energy consumption / /
OperatingSystem
Microsoft Windows / Linux / /
Organization
Transaction Processing Council / Uptime Institute / Data Center / Congress / University of Wisconsin / Environmental Protection Agency / /
Person
Paul Beebe / SYS ON / Thomas Wenisch / S. Siddha / V / Mark Hill / Bruce Worthington / Steve Reinhardt / Daniel Fabbri / Willis Lang / /
Position
general data processing / author / representative / /F Model for energy consumption savings / /
ProgrammingLanguage
Java / Joule / /
ProvinceOrState
California / /
PublishedMedium
Communications of the ACM / /
Technology
RAM / Linux / random access / operating system / EXPLOITING PROCESSOR / Java / database management system / frequency modulation / GUI / built-in automatic processor / disk drive / DBMS / operating systems / EPU processor / 3.3 PVC The Processor / laptop disks and a desktop processor / cooling technology / /
Towards Eco-friendly Database Management Systems Willis Lang and Jignesh M. Patel Computer Sciences Department University of Wisconsin-Madison, USA {wlang, jignesh}@cs.wisc.edu