Cloud Computing Could Cut Data Center Energy CostsBy Channel Insider Staff | Posted 2010-12-09 Email Print
A clean tech market research firm projects that cloud computing could help shave data center energy spending by nearly 40 percent by 2020.
The efficiencies provided by cloud computing could reduce global data center energy costs by up to 38 percent by 2020, analysts say.
According to a new report from Pike Research, the energy efficiency benefits of cloud computing are substantial, and growth in the market will have important implications for both energy consumption and greenhouse gas (GHG) emissions. The cleantech market intelligence firm forecasts that the adoption of cloud computing will lead to a 38 percent reduction in worldwide data center energy expenditures by 2020, compared to a business as usual (BAU) scenario for data center capacity growth.
"The growth of cloud computing will have a very significant positive effect on data center energy consumption," said Pike Research senior analyst Eric Woods, in a statement. "Few, if any, clean technologies have the capability to reduce energy expenditures and GHG production with so little business disruption. Software as a service, infrastructure as a service, and platform as a service are all inherently more efficient models than conventional alternatives, and their adoption will be one of the largest contributing factors to the greening of enterprise IT."
As part of its cloud computing adoption scenario, Pike Research projects that data centers will consume 139.8 terawatt hours (TWh) of electricity in 2020, a reduction of 31 percent from 201.8 TWh in 2010. This also represents a significant decrease from the 226.4 TWh that would be consumed by data centers in the firm’s BAU scenario. The reduction will drive total data center energy expenditures down from $23.3 billion in 2010 to $16.0 billion in 2020, as well as causing a 28 percent reduction in GHG emissions from 2010 levels, the firm’s report said.
For more, read the eWeek article: Cloud Computing Could Reduce Data Center Energy Spending by 38% by 2020.