Inside the Briefcase

As the Network Changes, Engineers Are Embracing the DevOps Model

As the Network Changes, Engineers Are Embracing the DevOps Model

Businesses that have embraced digital transformation with a clear...

The 5 Most Common Application Bottlenecks

The 5 Most Common Application Bottlenecks

Application bottlenecks can lead an otherwise functional computer or...

How Machine Learning Helps Improve the Security Industry

How Machine Learning Helps Improve the Security Industry

We’ve been moving more and more towards computerized processes...

Transformation on a Global Scale

Transformation on a Global Scale

Necessity may be the mother of invention, but it’s...

IT Briefcase Exclusive Interview: As Container Adoption Swells, So Do Security Concerns

IT Briefcase Exclusive Interview: As Container Adoption Swells, So Do Security Concerns

Fei Huang, NeuVector
In this Fresh Ink interview segment,...

Big Data Goes Green

September 7, 2012 No Comments

‘Cloud computing’ and its data centres’ vast energy demands could open opportunities for renewables.


Cloud computing, where software is delivered as a service to end users over the internet, is currently receiving a lot of attention. The term describes data-processing operations that are outsourced to server farms, instead of being powered on-site. These range from websites and remotely hosted networks, to digital storage space and individual documents.

Such are the developments, that software delivered over the web looks very similar to software operating on a personal computer, and is accessible from any computer in the world. Consequently, some IT sector analysts are predicting the death of the personal computer while others believe it will simply become another device to access the on-line world. Increasingly, the engine of the IT sector is composed of large-scale data servers that are driving the cloud-computing revolution forward. With regard to energy, cloud computing should result in lower costs for users and fewer greenhouse gas emissions by streamlining information-crunching into single facilities on speedy machines.

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DATA and ANALYTICS 

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