1. Data Center Efficiency

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    2. Viridity Software to Discuss The Road to Data Center Energy Efficiency

      Viridity Software to Discuss The Road to Data Center Energy Efficiency
      Will Detail How To Accurately Measure Energy Consumption, Eliminate/Consolidate Non-Productive IT Equipment, Optimally Plan for New Equipment Placement, Optimize Power and Cooling, and Protect Against Data Center Black-Out. The ability to measure data center energy consumption has become increasingly business critical due to: rising energy costs coupled with increasing data center power and cooling demands as IT infrastructures continue to grow, the need to fully optimize existing data center resources, as well as corporate "green/sustainability" initiatives. While factors such as the availability of energy efficiency rebates and concern over governmental energy regulations have also played a role. Regardless, until now data center management executives have had very little, if any, visibility into IT equipment energy consumption. The limited solutions that have been available have proven to be prohibitively expensive and far too complicated to deploy and effectively utilize.
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    3. 2010 Power IT Down Day Challenges Government to Save More Kilowatt Hours ...

      2010 Power IT Down Day Challenges Government to Save More Kilowatt Hours ...
      2010 Power IT Down Day Challenges Government to Save More Kilowatt Hours ...MarketWatch (press release)Individuals can sign up for the event at the new Power IT Down website, poweritdown.org, which also provides green IT resources and information. ...and more »
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  1. Categories

    1. Data Center Design:

      Construction, Container, Data Center Outages, Monitoring, Power and Cooling
    2. Policy:

      Cap and Trade, Carbon Footprint, Carbon Reduction Commitment, Carbon Tax, Emissions
    3. Power:

      Biomass, Fossil Fuel, Fuel Cell, Geothermal, Hydro, Nuclear, Solar, Wind
    4. Application:

      Cloud Computing, Grid Computing
    5. Technology:

      Microblogging, Networking, Servers, Storage, Supercomputer