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Database management systems / Data management / Scalability / Transaction processing / Database / Server / Data center / Program optimization / Energy Star / Computing / Energy conservation / Computers and the environment


  Energy Efficiency: The New Holy Grail of Data Management Systems Research Stavros Harizopoulos
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Document Date: 2011-09-16 15:44:58


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File Size: 280,66 KB

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City

Asilomar / Palo Alto / /

Company

New York Times / AMD / Worldwide Business Analytics Software / IBM / Data Management / H-P Company / Google / Data Management Software / Energy-Efficient Computer Systems / HP / Intel / IDC / Creative Commons / /

Country

United States / /

Currency

USD / /

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IndustryTerm

management software perspective / software-level optimizations / local utilities / energy-proportional hardware / information processing / software module / unit energy / maximum energy efficiency / multicore chip / database systems / technology inflection points / energy waste / maximum energy-efficiency point / internet-sector / database software / energy overhead / energy efficiency considerations / resource management / Uncontrolled energy use / Software mechanisms / energy improvements / energy use / Software engineering practices / overall energy use / application log processing / online transaction processing system / query processing algorithms / energy savings / energy / buffer management / mobile computing / wasted energy / database server / energy consumption / database management systems / power management / energy optimizations / software-based approaches / energy efficiency point of view / constant energy efficiency / measure energy efficiency / energy space / warehouse-computing environments / energy-efficiency optimizations / management software / component-level energy proportionality / energy efficiency / computing / energy efficiency optimizations / energy problem / energy effi ciency / magnitude more energy / software-level optimization / energy-use improvements / energy-proportional components / internet sector / energy-efficiency vs. number / database energy use / query processing / improved energy efficiency / software-based energy optimizations / energy-use limits / balanced energy-efficiency benchmark / potential solutions / software components / energy bottlenecks / energy efficiency improvements / energy reduction techniques / transaction processing / energy costs / web analytics / model into existing tools / Software choices / energy-aware database computing / faster algorithms / energy-efficiency profile / electricity / software complexity / energy-proportional systems / software approaches / center operators / external tools / software layer / latter solution / overall energy consumption increases / energy perspective / cloud computing / state technologies / energy-proportionality / database-like systems / search engine / waste energy / energy proportionality / /

MarketIndex

TPC / /

OperatingSystem

Microsoft Windows / /

Organization

U.S. Congress / Stanford University Department of Electrical Engineering / UCLA / Congress / Environmental Protection Agency / /

Person

Goetz Graefe / Mehul A. Shah / S. Harizopoulos / V / A. Shah Justin Meza Parthasarathy Ranganathan / P. Ranganathan / V / /

Position

database storage manager / hardware controller / author / programmer / Buffer manager and storage manager / buffer manager / controller / /

Product

ProLiant DL785 / StorageWorks MSA70 / /

ProgrammingLanguage

Joule / /

ProvinceOrState

Hawaii / California / /

PublishedMedium

Public Law / New York Times / /

Technology

Opteron processors / operating system / RAID / multicore chip / virtual memory / flash / business intelligence / virtual machine / state technologies / search engine / operating systems / Terms Algorithms / mobile computing / caching / query processing algorithms / SCSI / /

URL

www.energystar.gov/ia/partners/prod_development/downloads/EPA_Datacenter_Report_Congress_Final1.pdf / http /

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