Green Computing Still Held Back By Costs
A recent study by computer retailer CDW shows that most IT decision makers believe in making their technology infrastructure greener and more energy efficient. But more than half of those surveyed cite cost as the main obstacle, and see the impact on the environment and on their company’s image as greater benefits than the cost savings from a reduced power bill.
Those results seem at odds with reports from analysts that suggest green, power-efficient computing is just around the corner and is being driven by spiraling energy costs. Most forecasts show computing power costs will have a real impact on companies soon: Gartner projects that by 2010, 75 percent of companies will consider the energy and CO2 footprint of hardware during purchasing.
Computing itself is a major energy-sucking culprit, and IT power consumption will only rise in the future. In August 2007, the EPA estimated that data centers consumed roughly 61 billion kWh in 2006. That’s about 1.5 percent of total U.S. electricity consumption, which cost $4.5 billion. And it’s expected to increase to 100 billion kWh by 2011 — 2.5 percent of total U.S. electricity consumption, which would cost approximately $7.4 billion.
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I’ve spent the last four days toying with the Samsung P207, and it has convinced me that soon I will never physically type another text message again. Otherwise an unremarkable EDGE-capable, $79 clamshell phone—the Samsung P207 comes bundled with some innovative voice recognition software that translates speech into text, promising to take the pain out of text messaging via mobile phones. Amazingly, the speech recognition technology works. Very well. Developed by VoiceSignal, a Massachusetts based startup, the P207’s software is easy to set up, and even easier to use. First I calibrated the phone to recognize my voice, and speech patterns. To do this, I spoke a series of 122 words and phrases into the receiver while holding down the camera button on outside of the phone—this button activates a “talk” feature, much like using a walkie-talkie. As instructed, I spoke slowly, leaving hard pauses between each word, giving the software time to recognize each word. The whole process took about three minutes, after which I was told the P207 could “recognize” my voice.