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The Intercloud: Turning Computing Inside Out
With intercloud computing, the world is going to look quite different, with the computing power moving to where the data is.

By: Bill McColl
Aug. 12, 2009 08:30 AM

The intercloud turns computing inside out. With traditional IT, we move the data to where the computing infrastructure is located. With the data volumes in most application areas now growing exponentially, this IT model is now broken. Moving massive volumes of data around means more bandwidth, more storage, and more latency. We need instead to position the computing infrastructure next to where the data is located. With intercloud computing, we can build global apps and services where a single app can operate on data that may be spread across many public clouds and private datacenters. Intercloud computing means less bandwidth, less storage, and less latency.

Intercloud computing is now emerging as a powerful new model for all kinds of data-intensive IT. In order to reach the world's distributed data sets and realtime data streams, intercloud services and platforms will need to be deployable simply and easily on all public and private clouds. Fortunately, the virtualization and standardization that is an essential component of cloud computing is making this possible.

For fifty years we've been moving data to where the computing power is. With intercloud computing, the world is going to look quite different, with the computing power moving to where the data is.

Published Aug. 12, 2009— Reads 1,130
Copyright © 2009 SYS-CON Media, Inc. — All Rights Reserved.
Syndicated stories and blog feeds, all rights reserved by the author.
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About Bill McColl
Bill McColl is Founder and CEO, Cloudscale Inc. - which is developing a massively parallel cloud-based platform for continuous real-time intelligence on live data streams.

In 2006, he left Oxford University Computing Laboratory where for over twenty years he had been head of research in parallel computing and scalable systems. At the time of his departure, he was Professor of Computer Science and Chairman of the Faculty of Computer Science. McColl has published and lectured extensively on the design, analysis and implementation of massively parallel algorithms and systems.

He established and led Oxford Parallel, a major center for research on industrial and business applications of parallel computing at the university. He was also founder and CEO of Sychron Inc., a Silicon Valley VC-backed software company developing massively parallel system software for datacenter and desktop virtualization. Cloudscale Inc.is his second Silicon Valley company.

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