Skip to Content
Uncategorized

Virtual Clouds Could Prevent Data Centers Destroying the Planet

The way data centers devour resources could be dramatically reduced by embracing “community cloud computing.” And Wikipedia may be the perfect test bed.

The popularity of cloud computing is rising faster now than at any time in the past. And it’s no wonder; accessing services and applications through the Internet rather than storing the necessary data on your own computer makes sense now that links are so fast and reliable.

However, cloud computing has some significant drawbacks. Instead of localizing failures as conventional Internet computing does, the cloud makes failures system wide, say Alexandros Marinos at the University of Surrey and Gerard Briscoe at the London School of Economics, both in the U.K.. If the cloud goes down, as happened earlier this year with Gmail and last year with Amazon’s S3 service, entire companies and the industries associated with them can grind to a halt.

So Marinos and Briscoe have come up with an alternative: community clouds in which individuals offer a portion of their computing resources to a virtual cloud. That’s not unlike distributed computing ventures such as SETI@home and Folding@home that use processing cycles on idling personal computers to carry out intensive data analysis.

A virtual cloud would be more demanding but could have substantial benefits. Marinos and Briscoe say that Wikipedia might be an ideal test bed on which to try out the idea. At the moment, Wikipedia depends on substantial donations to keep its servers running and to keep the service free of advertisements. An interesting alternative might be a virtual cloud based on computing resources donated by users around the world.

Marinos and Briscoe point out that a virtual cloud should also be greener than the rapidly expanding data centers that are springing up all over the world. The combined carbon footprint of data centers is expected to exceed that of the world’s airlines by 2020. Even now, these facilities are challenging the capacity of power grids to deliver enough power to keep them going.

That alone may provide the necessary vision and momentum to get an idea like this off the ground.

Ref: arxiv.org/abs/0907.2485: Community Cloud Computing

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.